METALLOTHIONEIN AS AN EARLY BIOMARKER FOR DEATH SECONDARY TO SEPTIC SHOCK AND AS A NOVEL THERAPEUTIC TARGET FOR SEPTIC SHOCK

Abstract
A set of signature genes that predict the severity of septic shock, as well as methods of diagnosing and treating septic shock. The genes and methods are particularly useful for the identification of individuals who are at a high risk of death from septic shock.
Description
BACKGROUND OF THE INVENTION
Field of the Invention

The present invention relates to the field of septic shock identification and treatment, particularly in individuals who are at high risk of death from septic shock.


BACKGROUND

Septic shock is a serious condition that often occurs when an overwhelming infection leads to low blood pressure and low blood flow. If the condition is untreated, septic shock can lead to failure of vital body organs, such as the liver, heart, kidneys, and brain. Septic shock can be caused by microbial organisms, such as bacteria, fungi, or viruses. Toxins that are released by the infecting organism can cause low blood pressure, tissue damage, and loss of organ function.


The condition can occur in individuals of any age, but is usually found in elderly individuals and in children. Septic shock is particularly problematic in pediatric patients.


Symptoms of septic shock can vary but include, for example, palpitations, lightheadedness, presence of a high or very low temperature, shortness of breath, chills, agitation, confusion, rapid heart rate, and low blood pressure.


Several factors can increase the risk of septic shock. For example, septic shock risk increases with the presence of an underlying illness, such as a genitourinary tract disease, a biliary system disease, an intestinal disease, diabetes, hematologic cancers such as lymphoma or leukemia, cancer, heart disease, immunological disease, lung disease, or infection. Septic shock can also occur in normal individuals that have no additional underlying diseases or conditions.


Current treatments involve providing oxygen, supporting poorly functioning organs, administration of antibiotics, and administration of intravenous fluids.


SUMMARY OF THE INVENTION

The invention relates to a set of signature genes that predict the severity of septic shock, as well as methods of diagnosing and treating septic shock. The genes and methods are particularly useful for the identification of individuals who are at a high risk of death from septic shock.


In some embodiments of the present invention, an assay to determine the potential of high risk septic shock in an individual is provided, by obtaining a biological sample from the individual, and determining a level of expression of at least one septic shock signature gene, where an increased level of expression of the at least one septic shock signature gene indicates an elevated risk of death from septic shock. The signature gene can encode, for example, a metallothionein protein, Metallothionein 1E, Metallothionein 1F, Metallothionein 1G, Metallothionein 1H, Metallothionein 1K, Metallothionein 1X, Granzyme B (cytotoxic serine protease), Dual specific phosphatase 2 (inactivation of MAPK), Regulator of G-protein signaling 1, v-Jun, Jun dimerization protein, Chemokine ligand 2 (MCP-1), Chemokine ligand 3 (MIP-1α), Chemokine (C—C motif) receptor-like 2, cAMP responsive element modulator, Complement factor H, SOCS1, Interferon-γ, or Interferon regulatory factor 7. The individual can be a mammal. The mammal can be, for example, a human. The human can be, for example, an elderly person, an adult, a child, an infant, a newborn, or an unborn child. The sample can be, for example, a blood sample, a tissue sample, an amniotic fluid sample, a urine sample, or a bronchoalveolar lavage sample.


In additional embodiments of the present invention, a test kit for the early identification of high risk septic shock is provided, using two or more nucleic acid sequences adapted for indicating presence or absence of at least one septic shock signature gene in a biological sample. The kit can have, for example, a probe that determines the presence of metallothionein mRNA or protein in a sample. The kit can also contain at least one of the following components: an instruction sheet, a sample collection device, a sample preparation device, positive controls, and negative controls.


In additional embodiments of the present invention, a method of treating an individual having septic shock is provided, by administering a metallothionein-reducing agent.


In further embodiments of the present invention, a method of treating an individual having septic shock is provided, by administering an agent that downregulates at least one of the genes listed in tables 2 or 3.


In a yet further embodiment of the present invention, a method of treating septic shock in an individual is provided, by administering an agent that upregulates at least one of the genes listed in table 4.


In a yet further embodiment of the present invention, a method of treating septic shock in an individual is provided, by administering zinc. The zinc can be, for example, in at least one form selected from the group consisting of: zinc sulfate, zinc gluconate, and zinc chloride. The zinc can be administered intravenously.


In a yet further embodiment of the present invention, a method of identifying an individual at high risk of death from septic shock is provided, by identifying an individual that may have septic shock, obtaining a blood or other bodily sample from the individual, testing the sample for at least one of septic shock signature genes, and determining an altered signature gene profile as compared to control samples, thereby determining that an elevated risk of death from septic shock exists in the individual. In some embodiments, at least 5 septic shock signature genes are tested. The control samples can be obtained, for example, from individuals with septic shock who were able to survive the episode. The testing can be performed, for example, by microarray analysis or a dipstick assay.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a cluster analysis of 400 genes that are predictors of non-survivorship. The metallothionein genes are shown. The samples from the non-surviving patients are indicated. The color coding indicates the level of gene expression. Red indicates high level expression, blue indicates decreased expression, and yellow indicates no change from baseline.



FIG. 2 is a three-dimensional principle components analysis of the patients. The analysis is based on the relative expression of approximately 400 genes that are predictors of non-survivorship. The color coding indicates the individuals who were either septic shock survivors, septic shock non-survivors, systemic inflammatory response syndrome (SIRS) survivors, or SIRS resolved individuals, along with controls. All 400 genes used for the analysis had statistically significant differential expression in non-survivors compared to survivors.



FIG. 3 is a summary of the motifs of the MT gene family members. The method uses a MEME (Multiple EM for Motif Elicitation) analysis. The features of the promoters that are activated during death serve as biomarker indicators as well as mechanistic indicators of the triggers of the death response pathway. Accordingly, disabling their activation may result in a decrease in the risk of death in these patients. The induced and the un-induced MT family members are shown.



FIG. 4 is a color-coded gene expression map. Several metallothionein genes are upregulated in the non-surviving septic shock patients as compared to the septic shock survivors.



FIG. 5 is a bar graph showing the zinc levels in serum samples of the surviving and non-surviving septic shock patients.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Septic shock often progresses to dangerous levels, particularly in elderly patients and in children, even before its presence or severity is recognized. In fact, the individuals who are at high risk for death may have no outward symptoms of the extreme severity of the situation. Diagnosis of septic shock is difficult because it is difficult to determine which individuals are likely to survive, and which individuals are at high risk of succumbing to the disease. If those individuals who are at high risk of death can be determined readily, those individuals can be given urgent, immediate, life-saving treatments. Alternatively, many of the life-saving treatments are also of high risk to the patient, so they would not be appropriate for cases of sepsis that are not emergencies. The ability to quickly stratify the patients by their risk level would be a valuable medical tool. High risk therapies could be given to the sickest patients that would derive the most benefit, thus more favorably balancing the risk-to-benefit ratio in the patients.


In response to the need for reliable biomarkers that can predict adverse outcome of septic shock in an individual, a study of pediatric patients with septic shock was undertaken. The study involved the development of a national-level data bank of children with septic shock, which includes whole blood-derived mRNA, parallel serum samples, DNA, and extensive annotated clinical data. The databank was used to conduct microarray analyses to determine the genome-level expression profiles in pediatric septic shock.


One analysis involved 13 normal children (controls) and 16 patients with septic shock (5 deaths). In this data set, children with septic shock who progressed to death demonstrated a unique genome-level signature of gene activation and gene repression. Example 1 describes the details of the patient database, while Table 4 lists the patients, their disease, survivability, and clinical results.


Approximately 400 signature genes have been found to be differentially regulated during septic shock. A cluster analysis of the gene expression of these 400 signature genes is shown in FIG. 1. The non-survivors exhibited a unique set of upregulated signature genes (see the outlined boxes shown in FIG. 1). Table 1, below, lists the 400 genes, their accession numbers, and related molecular and biological information. Within this set of signature genes, the metallothionein (MT) family of genes was particularly strong in predicting death of the patient. Thus, metallothionein expression can be used as a predictor of particularly high risk forms of septic shock.


These data represent 60 individual microarray chips within which there are 5 non-survivors represented by 7 individual microarray chips. We have recently analyzed an additional 63 microarray chips which include an additional 4 non-survivors represented by 7 additional microarray chips. Within this data set of 163 chips, the metallothionein signature in the non-survivors continues to be present. Specifically, metallothionein isoforms -1E, -1G, and -1M are overexpressed in the non-survivors, relative to the survivors.









TABLE 1







Septic Shock Signature Genes












Description
Genbank
Product
GO biological process
GO molecular function
GO cellular component





ubiquinol-cytochrome c reductase core protein II
NM_003366
ubiquinol-cytochrome c
oxidative phosphorylation;
ubiquinol-cytochrome-c
mitochondrial electron




reductase core protein II
aerobic respiration;
reductase activity;
transport chain;





electron transport;
metalloendopeptidase
mitochondrion





proteolysis and
activity; oxidoreductase





peptidolysis
activity


ret finger protein 2
NM_052811
ret finger protein 2
morphogenesis; negative
zinc ion binding
intracellular





regulation of cell cycle



Homo sapiens cDNA FLJ23646 fis,

AK074226


clone COL03258



Homo sapiens transcribed sequences

BG391643


KIAA0460 protein
BX641025
hypothetical protein

3700; transcription






factor; predicted/computed;






3677; DNA binding;






predicted/computed



Homo sapiens cDNA FLJ10158 fis,

AK091904


clone HEMBA1003463.


hypothetical protein FLJ39485
NM_175920
hypothetical protein
proteolysis and peptidolysis
aminopeptidase activity;
integral to membrane




FLJ39485

metallopeptidase






activity; zinc ion binding






activity; membrane






alanyl aminopeptidase activity



Homo sapiens cDNA FLJ10673 fis,

AK024111


clone NT2RP2006393.



Homo sapiens cDNA FLJ10673 fis,

AK024111


clone NT2RP2006393.


KIAA0794 protein
AB018337
KIAA0794 protein



Homo sapiens transcribed

AL043343


sequences


KIAA2010
NM_032560
hypothetical protein




FLJ20707 isoform 2;




hypothetical protein




FLJ20707 isoform 1



Homo sapiens mRNA; cDNA

NM_052911


DKFZp313E1410 (from clone


DKFZp313E1410).; KIAA1911


protein



Homo sapiens transcribed

BX104926


sequence with weak similarity to


protein ref: NP_060265.1


(H. sapiens) hypothetical protein


FLJ20378 [Homo sapiens]


enhancer of polycomb homolog 1,
NM_025209
enhancer of polycomb 1


(Drosophila)


chromosome 20 open reading
NM_024331
chromosome 20 open
transport
transporter activity
intracellular


frame 121

reading frame 121


zinc finger protein
NM_014415
zinc finger protein ZNF-
‘de novo’ pyrimidine base
protein binding
aspartate




U69274
biosynthesis

carbamoyltransferase







complex


casein kinase 2, alpha 1
NM_177559
casein kinase II alpha 1
protein amino acid
protein kinase CK2
plasma membrane; nucleus


polypeptide

subunit isoform a;
phosphorylation; signal
activity; ATP binding;




casein kinase II alpha 1
transduction
protein serine/threonine




subunit isoform b

kinase activity;






transferase activity


synonyms: A6, MGC23788,
NM_198974
twinfilin isoform 1;
protein amino acid
protein-tyrosine kinase
intracellular; actin cytoskeleton


MGC41876; isoform 2 is encoded

twinfilin isoform 2
phosphorylation
activity; actin binding;


by transcript variant 2; protein



transferase activity


tyrosine kinase 9; A6 protein


tyrosine kinase


DEAD (Asp-Glu-Ala-Asp) box
NM_007372
RNA helicase-related


GO: 5524; DEAD; ATP


polypeptide 42

protein


binding; 2.1e−84;







extended:inferred from







electronic annotation


hypothetical protein FLJ10707
AB051544
KIAA1757 protein


synonyms: FLJ10042, FLJ11979,
NM_020690
FLJ20288 protein

3676; nucleic acid


FLJ14127, KIAA1085; putative



binding;


protein; Homo sapiens FLJ20288



extended:Unknown; KH;


protein (FLJ20288), mRNA.



1.9e−11



Homo sapiens transcribed

BX109218


sequences


KIAA0907 protein
NM_014949
KIAA0907 protein


ribosomal protein S4, X-linked
NM_001007
ribosomal protein S4, X-
protein biosynthesis;
structural constituent of
ribosome; cytosolic small




linked X isoform
development; cell
ribosome; RNA binding
ribosomal subunit (sensu





proliferation; regulation of cell

Eukarya); intracellular





cycle



Homo sapiens transcribed

BX116041


sequences


golgi associated PDZ and coiled-
NM_020399
golgi associated PDZ

protein binding


coil motif containing

and coiled-coil motif




containing



Homo sapiens transcribed

AW978341


sequences



Homo sapiens transcribed

AL711520


sequences



Homo sapiens cDNA FLJ20653 fis,

AK055922


clone KAT01739



Homo sapiens transcribed

AW972041


sequences


NP220 nuclear protein
NM_014497
NP220 nuclear protein


splicing factor 3b, subunit 1,
NM_012433
splicing factor 3b,
nuclear mRNA splicing,
pre-mRNA splicing
spliceosome complex


155 kDa

subunit 1, 155 kDa
via spliceosome
factor activity


splicing factor 3b, subunit 1,
NM_012433
splicing factor 3b,
nuclear mRNA splicing,
pre-mRNA splicing
spliceosome complex


155 kDa

subunit 1, 155 kDa
via spliceosome
factor activity


myeloid/lymphoid or mixed-lineage
NM_170606
myeloid/lymphoid or
regulation of transcription,
methyltransferase
nucleus


leukemia3

mixed-lineage leukemia 3
DNA-dependent;
activity; DNA binding;





chromatin modification
histone-lysine N-






methyltransferase






activity



Homo sapiens mRNA; cDNA

BU736292


DKFZp434G0972 (from clone


DKFZp434G0972)


protein kinase C, beta 1
NM_002738
protein kinase C, beta 1
protein amino acid
protein kinase C activity;
cytoplasm; plasma





phosphorylation;
ATP binding; calcium ion
membrane





intracellular signaling
binding; transferase





cascade
activity; diacylglycerol






binding


ROD1 regulator of differentiation 1
NM_005156
ROD1 regulator of
embryogenesis and
RNA binding activity
GO: 3723; RNA binding;


(S. pombe)

differentiation 1
morphogenesis

predicted/computed


hypothetical protein FLJ13456
AB051517
KIAA1730 protein


vav-1 interacting Kruppel-like
NM_138494
vav-1 interacting


GO: 3676; KRAB; nucleic


protein

Kruppel-like protein


acid binding; 7.6e−27;




isoform b; vav-1


extended:inferred from




interacting Kruppel-like


electronic annotation




protein isoform a


HECT domain containing 1
NM_015382
HECT domain
ubiquitin cycle
ubiquitin-protein ligase
intracellular




containing 1

activity; receptor activity


nuclear receptor coactivator 2
NM_006540
nuclear receptor
regulation of transcription,
transcription co-activator
nucleus




coactivator 2
DNA-dependent; signal
activity; signal





transduction
transducer activity



Homo sapiens hypothetical protein

NM_173569
hypothetical protein


FLJ25778 (FLJ25778), mRNA.

FLJ25778


PR domain containing 2, with ZNF
NM_012231
retinoblastoma protein-
regulation of transcription,
zinc ion binding;
nucleus


domain

binding zinc finger
DNA-dependent
transcription factor




protein isoform a;

activity




retinoblastoma protein-




binding zinc finger




protein isoform b


synonym: KIAA0183; alternatively
NM_014612
C9orf10 protein


spliced; Homo sapiens


chromosome 9 open reading frame


10 (C9orf10), mRNA.


hypothetical protein FLJ10246
NM_018038
hypothetical protein




FLJ10246


WD repeat domain 30
NM_030803
APG16 autophagy 16-




like isoform 2; APG16




autophagy 16-like




isoform 1; APG16




autophagy 16-like




isoform 3



Homo sapiens, clone

BC035091


IMAGE: 4814008, mRNA


hypothetical protein FLJ10803
NM_018224
hypothetical protein




FLJ10803


PRO0471 protein
AF111846
PRO0471



Homo sapiens transcribed

AA744471


sequences


protein kinase, lysine deficient 1
NM_018979
protein kinase, lysine




deficient 1


MAD, mothers against
NM_005359
MAD, mothers against
SMAD protein
transcription cofactor
cytoplasm; nucleus


decapentaplegic homolog 4

decapentaplegic
heteromerization;
activity; transcription


(Drosophila)

homolog 4
regulation of transcription,
factor activity





DNA-dependent



Homo sapiens cDNA FLJ33199 fis,

AK090518


clone ADRGL2006377.


KIAA1935 protein
AK055921



Homo sapiens transcribed

BG566236


sequences


6-phosphogluconolactonase
NM_012088
6-
pentose-phosphate shunt;
hydrolase activity; 6-
GO: 17057; 6-




phosphogluconolactonase
carbohydrate metabolism
phosphogluconolactonase
phosphogluconolactonase






activity
activity; inferred from







electronic annotation







GO: 16787; hydrolase







activity; inferred from







electronic annotation


activating transcription factor 6
NM_007348
activating transcription
unfolded protein response,
RNA polymerase II
perinuclear space; nuclear




factor 6
target gene transcriptional
transcription factor
membrane; nucleoplasm;





activation; protein folding;
activity; transcription co-
endoplasmic reticulum





signal transduction;
activator activity
membrane; integral to





regulation of transcription

membrane





from Pol II promoter


Wilms tumor 1 associated protein
NM_004906
Wilms' tumor 1-




associating protein




isoform 1; Wilms' tumor




1-associating protein




isoform 2



Homo sapiens mRNA; cDNA

AL832319
hypothetical protein


DKFZp547A2015 (from clone


DKFZp547A2015); complete cds



Homo sapiens cDNA clone

AK096401


IMAGE: 6653606, partial cds


synonyms: FLJ10215, FLJ11824,
NM_025185
putative ankyrin-repeat


KIAA1148, KIAA1636; ORF1;

containing protein



Homo sapiens putative ankyrin-



repeat containing protein


(DKFZP564D166), mRNA.


enhancer of zeste homolog 1
NM_001991
enhancer of zeste
morphogenesis; regulation
chromatin binding
nucleus


(Drosophila)

homolog 1
of transcription, DNA-





dependent



Homo sapiens transcribed

BX110944


sequences


ADP-ribosylation factor domain
NM_001656
ADP-ribosylation factor
small GTPase mediated
small monomeric
intracellular


protein 1, 64 kDa

domain protein 1
signal transduction
GTPase activity; GTP




isoform alpha; ADP-

binding; enzyme




ribosylation factor

activator activity; zinc ion




domain protein 1

binding




isoform beta; ADP-




ribosylation factor




domain protein 1




isoform gamma


splicing factor, arginine/serine-rich
NM_004768
splicing factor p54
RNA splicing; regulation of
pre-mRNA splicing
nucleus


11


transcription, DNA-
factor activity; RNA





dependent; nuclear mRNA
binding; DNA binding





splicing, via spliceosome


staufen, RNA binding protein,
NM_014393
staufen homolog 2

double-stranded RNA
GO: 3725; double-stranded RNA


homolog 2 (Drosophila)



binding







binding; predicted/computed


nudix (nucleoside diphosphate
NM_006703
nudix-type motif 3
diadenosine
diphosphoinositol-
GO: 8486; diphosphoinositol


linked moiety X)-type motif 3


polyphosphate catabolism;
polyphosphate
polyphosphate





cell-cell signaling
diphosphatase activity;
phosphohydrolase;






hydrolase activity
predicted/computed


hypothetical protein dJ465N24.2.1
NM_020317
hypothetical protein




dJ465N24.2.1



Homo sapiens cDNA FLJ13202 fis,

AK023264


clone NT2RP3004503.


Rho-associated, coiled-coil
NM_005406
Rho-associated, coiled-
Rho protein signal
ATP binding; protein
intracellular


containing protein kinase 1

coil containing protein
transduction; protein
serine/threonine kinase




kinase 1
amino acid
activity; transferase





phosphorylation;
activity





intracellular signaling





cascade; actin





cytoskeleton organization





and biogenesis


myelin basic protein
NM_002385
myelin basic protein
nerve ensheathment;
DNA binding; structural
nucleus





central nervous system
constituent of myelin





development; synaptic
sheath





transmission; regulation of





transcription, DNA-





dependent; immune





response



Homo sapiens cDNA FLJ12232 fis,

AK022294


clone MAMMA1001206.



Homo sapiens transcribed

CA503163


sequences



Homo sapiens cDNA clone

CA430188


IMAGE: 5294561, partial cds



Homo sapiens cDNA clone

CA430188


IMAGE: 5294561, partial cds



Homo sapiens cDNA FLJ39934 fis,

AL831930
hypothetical protein


clone SPLEN2021458, weakly


similar to Mus musculus mdgl-1


mRNA.


KIAA1093 protein
XM_039385
similar to KIAA1093




protein


secretory carrier membrane protein 1
NM_004866
secretory carrier
post-Golgi transport;
protein transporter
integral to membrane;




membrane protein 1
intracellular protein
activity
membrane fraction




isoform 1; secretory
transport




carrier membrane




protein 1 isoform 2


PEST-containing nuclear protein
NM_020357
PEST-containing




nuclear protein


splicing factor, arginine/serine-rich 6
NM_006275
arginine/serine-rich
mRNA splice site
pre-mRNA splicing
nucleus




splicing factor 6
selection; regulation of
factor activity; RNA





transcription, DNA-
binding; DNA binding





dependent; nuclear mRNA





splicing, via spliceosome


musashi homolog 2 (Drosophila)
NM_170721
musashi 2 isoform a;




musashi 2 isoform b



Homo sapiens cDNA FLJ34036 fis,

BQ575161


clone FCBBF2005069.



Homo sapiens cDNA FLJ39245 fis,

AK096564


clone OCBBF2008366.


F-box only protein 9
NM_033480
F-box only protein 9




isoform 1; F-box only




protein 9 isoform 2; F-




box only protein 9




isoform 3


eukaryotic translation initiation
NM_012154
eukaryotic translation
protein biosynthesis
translation initiation
cellular_component


factor 2C, 2

initiation factor 2C, 2

factor activity
unknown


hypothetical protein MGC40368
NM_152772
hypothetical protein




MGC40368


SH3-domain GRB2-like endophilin
NM_020145
SH3-containing protein


B2

SH3GLB2


DKFZp564J157 protein
NM_018457
DKFZp564J157 protein
mRNA metabolism
RNA binding activity;
cytoplasm; nucleus;






DNA binding activity
ribonucleoprotein complex


O-linked N-acetylglucosamine
NM_003605
O-linked GlcNAc
response to nutrients; O-
acetylglucosaminyltransferase
cytosol; nucleus


(GlcNAc) transferase (UDP-N-

transferase isoform 3;
linked glycosylation; signal
activity; protein


acetylglucosamine:polypeptide-N-

O-linked GlcNAc
transduction
binding activity;


acetylglucosaminyl transferase)

transferase isoform 1;

transferase activity,




O-linked GlcNAc

transferring glycosyl




transferase isoform 2

groups


stannin
NM_003498
Stannin
response to abiotic

integral to membrane





stimulus; response to





stress


tubulin, beta 1
NM_030773
beta tubulin 1, class VI
microtubule-based
GTP binding; structural
microtubule





movement
molecule activity


phosphoinositide-3-kinase,
NM_005026
phosphoinositide-3-

16303;


catalytic, delta polypeptide

kinase, catalytic, delta

phosphatidylinositol 3-




polypeptide

kinase;






extended:Unknown;






PI3K_p85B; 4e−26


egl nine homolog 2 (C. elegans)
NM_017555
EGL nine (C. elegans)




homolog 2 isoform 2;




EGL nine (C. elegans)




homolog 2 isoform 1;




EGL nine (C. elegans)




homolog 2 isoform 3


caspase 2, apoptosis-related
NM_032982
caspase 2 isoform 2
apoptotic program;
caspase-2 activity
GO: 4202; caspase-2;


cysteine protease (neural

precursor; caspase 2
proteolysis and

experimental evidence


precursor cell expressed,

isoform 1 preproprotein;
peptidolysis


developmentally down-regulated 2)

caspase 2 isoform 3;




caspase 2 isoform 4


TPA regulated locus
NM_018475
TPA regulated locus

molecular_function
membrane






unknown



Homo sapiens transcribed

AI807658


sequences


RAD23 homolog B (S. cerevisiae)
NM_002874
UV excision repair
nucleotide-excision repair
single-stranded DNA
nucleus




protein RAD23 homolog B

binding


IQ motif containing GTPase
NM_003870
IQ motif containing
small GTPase mediated
GTPase inhibitor
actin filament


activating protein 1

GTPase activating
signal transduction
activity; Ras GTPase




protein 1

activator activity;






calmodulin binding


transducin (beta)-like 1X-linked
NM_005647
transducin beta-like 1X
hearing; vision; signal
heterotrimeric G-protein
157; peripheral plasma





transduction

membrane protein;







predicted/computed


abhydrolase domain containing 2
NM_007011
alpha/beta hydrolase
biological_process
catalytic activity;
integral to membrane




domain containing
unknown
molecular_function




protein 2

unknown


sel-1 suppressor of lin-12-like (C. elegans)
NM_005065
sel-1 suppressor of lin-




12-like



Homo sapiens transcribed

BU899259


sequences


protein phosphatase 1, regulatory
NM_006242
protein phosphatase 1,
glycogen metabolism
protein phosphatase
GO: 163; protein


subunit 3D

regulatory subunit 3D

type 1 activity; hydrolase
phosphatase type 1;






activity
predicted/computed


trichorhinophalangeal syndrome I
NM_014112
zinc finger transcription
regulation of transcription,
transcription factor
nucleus




factor TRPS1
DNA-dependent
activity


cysteine sulfinic acid
NM_015989
cysteine sulfinic acid


GO: 4782; 4.1.1.29;


decarboxylase

decarboxylase-related


sulfinoalanine decarboxylase




protein 2


activity; 4.97e−161;







extended:inferred from







mutant phenotype







GO: 16831; pyridoxal_deC;







carboxy-lyase activity; 4.5e−122;







extended:Unknown


Cas-Br-M (murine) ecotropic
NM_005188
Cas-Br-M (murine)
cell growth and/or
signal transducer
nucleus


retroviral transforming sequence

ecotropic retroviral
maintenance; cell surface
activity; transcription




transforming sequence
receptor linked signal
factor activity; ligase





transduction
activity


ubiquitin-conjugating enzyme E2B
NM_003337
ubiquitin-conjugating
postreplication repair;
ubiquitin conjugating
nucleus


(RAD6 homolog)

enzyme E2B
ubiquitin cycle; ubiquitin-
enzyme activity;





dependent protein
ubiquitin-protein ligase





catabolism
activity


farnesyltransferase, CAAX box,
NM_002028
farnesyltransferase,
protein amino acid
protein
cytoplasm


beta

CAAX box, beta
farnesylation
farnesyltransferase






activity;






prenyltransferase activity


chromosome 6 open reading frame
NM_152734
hypothetical protein


89

FLJ25357



Homo sapiens cDNA: FLJ21037

AK024690


fis, clone CAE10055


CDC-like kinase 4
NM_020666
protein serine threonine
protein amino acid
protein-tyrosine kinase
nucleus




kinase Clk4
phosphorylation
activity; ATP binding;






protein serine/threonine






kinase activity;






transferase activity


protein kinase C-like 2
NM_006256
protein kinase C-like 2
protein amino acid
ATP binding; protein
intracellular





phosphorylation; signal
serine/threonine kinase





transduction
activity; transferase






activity



Homo sapiens mRNA activated in

AJ012498


tumor suppression, clone TSAP18.


ubiquitin protein ligase
NM_183414
ubiquitin protein ligase




isoform a; ubiquitin




protein ligase isoform b



Homo sapiens cDNA FLJ14111 fis,

AK024173


clone MAMMA1001630.



Homo sapiens transcribed

AI382001


sequences


striatin, calmodulin binding protein
NM_003162
striatin, calmodulin
biological_process
calmodulin binding
cellular_component




binding protein
unknown

unknown


choline phosphotransferase 1
NM_020244
choline
phospholipid biosynthesis;
oxidoreductase activity;
membrane




phosphotransferase 1
electron transport
transferase activity



Homo sapiens cDNA clone

AK125406


IMAGE: 5223469, partial cds



Homo sapiens cDNA FLJ26692 fis,

AK130202


clone MPG07890



Homo sapiens cDNA FLJ30303 fis,

AK054865


clone BRACE2003269.



Homo sapiens transcribed

AL532522


sequences


coagulation factor V (proaccelerin,
NM_000130
coagulation factor V
blood coagulation; cell
blood coagulation factor
GO: 3801; blood coagulation


labile factor)

precursor
adhesion
activity; copper ion
factor; experimental






binding
evidence



Homo sapiens cDNA: FLJ21377

AK025030


fis, clone COL03255.


hypothetical protein
NM_152588
hypothetical protein


DKFZp762A217

DKFZp762A217



Homo sapiens transcribed

BX114932


sequences



Homo sapiens transcribed

BG570010


sequence with moderate similarity


to protein sp: P39194 (H. sapiens)


ALU7_HUMAN Alu subfamily SQ


sequence contamination warning


entry



Homo sapiens transcribed

BX112864


sequence with weak similarity to


protein ref: NP_060190.1


(H. sapiens) hypothetical protein


FLJ20234 [Homo sapiens]


C-type (calcium dependent,
NM_197953
C-type lectin,


carbohydrate-recognition domain)

superfamily member 12


lectin, superfamily member 12

isoforms a-i


hemochromatosis
NM_000410
hemochromatosis
iron ion homeostasis;

integral to plasma




protein isoforms 1-10
receptor mediated

membrane; cytoplasm





endocytosis; iron ion





transport; protein complex





assembly



Homo sapiens cDNA FLJ41675 fis,

AK123669


clone HCASM2002148


hypothetical protein FLJ10998
NM_018294
hypothetical protein




FLJ10998


caspase 2, apoptosis-related
NM_032982
caspase 2 isoform 2
apoptotic program;
caspase-2 activity
GO: 4202; caspase-2;


cysteine protease (neural

precursor; caspase 2
proteolysis and

experimental evidence


precursor cell expressed,

isoform 1 preproprotein;
peptidolysis


developmentally down-regulated 2)

caspase 2 isoform 3;




caspase 2 isoform 4


Mdm4, transformed 3T3 cell
NM_002393
mouse double minute 4
negative regulation of cell
5515; protein binding;
nucleus


double minute 4, p53 binding

homolog
proliferation
extended:inferred from


protein (mouse)



electronic annotation;






MDM2; 9.5e−51


ATP-binding cassette, sub-family C
NM_000352
ATP-binding cassette,
potassium ion transport;
sulfonylurea receptor
integral to membrane


(CFTR/MRP), member 8

sub-family C, member 8
carbohydrate metabolism
activity; potassium ion






transporter activity;






nucleotide binding; ATP






binding; ATP-binding






cassette (ABC)






transporter activity


solute carrier family 30 (zinc
NM_017964
solute carrier family 30

8324; cation transporter;


transporter), member 6

(zinc transporter),

extended:traceable




member 6

author statement;






Cation_efflux; 1.4e−09


potassium voltage-gated channel,
NM_005472
potassium voltage-gated
potassium ion transport
voltage-gated potassium
voltage-gated potassium


Isk-related family, member 3

channel, Isk-related

channel activity
channel complex; integral to




family, member 3


membrane


elastin microfibril interfacer 2
NM_032048
elastin microfibril
biological_process
protein binding activity;
extracellular




interfacer 2
unknown
extracellular matrix






constituent conferring






elasticity activity


solute carrier family 6
NM_003043
solute carrier family 6
amino acid metabolism;
taurine:sodium
integral to plasma


(neurotransmitter transporter,

(neurotransmitter
neurotransmitter transport
symporter activity
membrane


taurine), member 6

transporter, taurine),




member 6


homeodomain interacting protein
NM_005734
homeodomain
protein amino acid
ATP binding; protein
cellular_component


kinase 3

interacting protein
phosphorylation
serine/threonine kinase
unknown




kinase 3

activity; transferase






activity


son of sevenless (Drosophilia)
NM_006939
son of sevenless
small GTPase mediated
guanyl-nucleotide
cellular component unknown


homolog 2; guanine nucleotide

homolog 2
signal transduction
exchange factor activity


exchange factor; guanine


nucleotide releasing factor; Homo



sapiens son of sevenless homolog



2 (Drosophila) (SOS2), mRNA.


active BCR-related gene
NM_021962
active breakpoint cluster
small GTPase mediated
GTPase activator
GO: 5096; GTPase activator;




region-related protein
signal transduction
activity; guanyl-
experimental evidence




isoform b; active

nucleotide exchange




breakpoint cluster

factor activity




region-related protein




isoform a


peptidyl arginine deiminase, type
NM_012387
peptidyl arginine
protein modification
protein-arginine


IV

deiminase, type IV

deiminase activity;






calcium ion binding;






hydrolase activity


Start codon is not identified.; Homo
XM_375926
FLJ00095 protein



sapiens mRNA for FLJ00095



protein.; DnaJ (Hsp40) homolog,


subfamily C, member 5


flotillin 2
NM_004475
flotillin 2
epidermal differentiation;
cell adhesion molecule
plasma membrane





cell adhesion
activity


alkaline phosphatase,
NM_000478
tissue non-specific
ossification; metabolism
magnesium ion binding;
integral to membrane


liver/bone/kidney

alkaline phosphatase

alkaline phosphatase




precursor

activity; hydrolase






activity


Ras and Rab interactor 3
NM_024832
Ras and Rab interactor 3
neuropeptide signaling
GTPase activator
cellular_component





pathway; endocytosis;
activity; Ras interactor
unknown





intracellular signaling
activity





cascade


chromosome 20 open reading frame 178
NM_176812
Snf7 homologue associated with Alix 1

molecular_function unknown


ATPase, H+ transporting,
NM_001690
ATPase, H+
transport; ATP
ATP-binding and
integral to plasma


lysosomal 70 kDa, V1 subunit A

transporting, lysosomal
biosynthesis; energy
phosphorylation-
membrane; cytoplasm;




70 kD, V1 subunit A, isoform 1
coupled proton transport,
dependent chloride
proton-transporting two-





against the
channel activity; ATP
sector ATPase complex





electrochemical gradient
binding; hydrolase






activity; hydrogen-






exporting ATPase






activity, phosphorylative






mechanism


potassium voltage-gated channel,
NM_005472
potassium voltage-gated
potassium ion transport
voltage-gated potassium
voltage-gated potassium


Isk-related family, member 3

channel, Isk-related

channel activity
channel complex; integral to




family, member 3


membrane


caspase recruitment domain
NM_021209
caspase recruitment
apoptosis
ATP binding; apoptosis
intracellular


family, member 12

domain protein 12

regulator activity


F11 receptor
NM_144503
F11 receptor isoform a
cell motility; inflammatory
cell adhesion molecule
intercellular junction




precursor; F11 receptor
response
activity




isoform b


oxysterol binding protein-like 8
NM_020841
oxysterol-binding




protein-like protein 8


pre-B-cell leukemia transcription
NM_002586
pre-B-cell leukemia
anterior compartment
transcription factor
nucleus; ribulose


factor 2

transcription factor 2
specification; posterior
activity; ribulose-
bisphosphate carboxylase





compartment
bisphosphate
complex





specification; regulation of
carboxylase activity





transcription, DNA-





dependent; carbon





utilization by fixation of





carbon dioxide


myeloid/lymphoid or mixed-lineage
NM_005933
myeloid/lymphoid or
cell growth and/or
RNA polymerase II
nucleus


leukemia (trithorax homolog,

mixed-lineage leukemia
maintenance; regulation of
transcription factor



Drosophila)


(trithorax homolog,
transcription, DNA-
activity; zinc ion binding





Drosophila)

dependent; transcription





from Pol II promoter


son of sevenless (Drosophilia)
NM_006939
son of sevenless
small GTPase mediated
guanyl-nucleotide
cellular_component


homolog 2; guanine nucleotide

homolog 2
signal transduction
exchange factor activity
unknown


exchange factor; guanine


nucleotide releasing factor; Homo



sapiens son of sevenless homolog



2 (Drosophila) (SOS2), mRNA.


abhydrolase domain containing 2
NM_007011
alpha/beta hydrolase
biological_process
catalytic activity;
integral to membrane




domain containing
unknown
molecular_function




protein 2

unknown


kringle containing transmembrane
NM_032045
kringle-containing
cell communication;
molecular_function
integral to membrane;


protein 1

transmembrane protein
biological_process
unknown
membrane fraction




1 isoforms 1 and 2
unknown


hypothetical protein FLJ10979
NM_018289
hypothetical protein




FLJ10979


tumor differentially expressed 1
NM_006811
tumor differentially

GO: 16021; integral
integral to membrane




expressed protein 1

membrane protein;






predicted/computed


tumor differentially expressed 1
NM_006811
tumor differentially

GO: 16021; integral
integral to membrane




expressed protein 1

membrane protein;






predicted/computed


homeodomain interacting protein
NM_198268
homeodomain-


GO: 4672; pkinase; protein


kinase 1

interacting protein


kinase activity; 2.7e−47;




kinase 1 isoforms 1-4


extended:inferred from







electronic annotation


hypothetical protein FLJ10613
NM_019067
hypothetical protein
proteolysis and
peptidase activity
membrane




FLJ10613
peptidolysis


hypothetical protein FLJ12666
NM_024595
hypothetical protein




FLJ12666


SEC14-like 1 (S. cerevisiae)
NM_003003
SEC14 (S. cerevisiae)-
transport; nonselective
binding; transporter
membrane; Golgi apparatus;




like 1
vesicle transport
activity
intracellular


MIx interactor
NM_014938
MondoA


coatomer protein complex, subunit
NM_004371
coatomer protein
ER to Golgi transport;
hormone activity; protein
membrane; Golgi apparatus;


alpha

complex, subunit alpha
intracellular protein
transporter activity
endoplasmic reticulum





transport


huntingtin interacting protein B
NM_012271
huntingtin interacting




protein B isoform 2;




huntingtin interacting




protein B isoform 1


Fc fragment of IgG, low affinity IIa,
NM_021642
Fc fragment of IgG, low
immune response
receptor activity;
integral to membrane;


receptor for (CD32)

affinity IIa, receptor for

receptor signaling
plasma membrane




(CD32)

protein activity; IgG






binding



Homo sapiens cDNA FLJ14186 fis,

XM_379273


clone NT2RP2005726.


RAB11B, member RAS oncogene
NM_004218
RAB11B, member RAS
small GTPase mediated
RAS small monomeric
GO: 3928; RAB small


family

oncogene family
signal transduction;
GTPase activity; Rho
monomeric GTPase;





intracellular protein
small monomeric
experimental evidence





transport
GTPase activity; GTP






binding; RAB small






monomeric GTPase






activity; protein






transporter activity


ubiquitination factor E4B (UFD2
NM_006048
ubiquitination factor E4B
response to UV; cell
ubiquitin conjugating
ubiquitin ligase complex;


homolog, yeast)


growth and/or
enzyme activity;
cytoplasm





maintenance; protein
chaperone activity;





folding; apoptosis; protein
enzyme binding





ubiquitination during





ubiquitin-dependent





protein catabolism


tubulin, gamma complex
NM_006322
spindle pole body protein
microtubule-based
5198; structural
5813; centrosome;


associated protein 3


process
molecule; not recorded
experimental evidence;







15630; microtubule







cytoskeleton; experimental







evidence; 5856;







cytoskeleton; not recorded


translocated promoter region (to
NM_003292
translocated promoter
protein-nucleus import;
GO: 5634; nucleus;
nuclear pore; cytoplasm;


activated MET oncogene)

region (to activated MET
transport
inferred from electronic
nucleus




oncogene)

annotation GO: 5737;






cytoplasm; traceable






author statement






GO: 5871; kinesin






complex; inferred from






electronic annotation






GO: 5643; nuclear pore;






traceable author






statement


hypothetical protein FLJ33215
NM_148894
hypothetical protein FLJ33215


translocated promoter region (to
NM_003292
translocated promoter
protein-nucleus import;

nuclear pore; cytoplasm;


activated MET oncogene)

region (to activated MET
transport

nucleus




oncogene)


hypothetical protein MGC15606
NM_145037
hypothetical protein




MGC15606



Homo sapiens mRNA; cDNA

BI857154


DKFZp566E0124 (from clone


DKFZp566E0124)


potassium channel tetramerisation
NM_018992
potassium channel
potassium ion transport
voltage-gated potassium
membrane; voltage-gated


domain containing 5

tetramerisation domain

channel activity; protein
potassium channel complex




containing 5

binding


zinc finger protein 238
NM_006352
zinc finger protein 238
transport; regulation of
protein binding; DNA
nucleus





transcription, DNA-
binding





dependent


retinoid X receptor, beta
NM_021976
retinoid X receptor, beta
regulation of transcription,
retinoid-X receptor
nucleus





DNA-dependent
activity; steroid hormone






receptor activity; steroid






binding; transcription co-






activator activity;






transcription factor






activity


amyloid beta (A4) precursor
NM_019043
amyloid beta (A4)
GO: 7218; RA;


protein-binding, family B, member

precursor protein-
neuropeptide signaling


1 interacting protein

binding, family B,
pathway; 0.025;




member 1 interacting
extended:Unknown




protein


adenomatosis polyposis coli
NM_000038
adenomatosis polyposis
cell adhesion; protein
beta-catenin binding
kinesin complex




coli
complex assembly; signal





transduction; negative





regulation of cell cycle


zinc finger protein 36 (KOX 18)
BX640646
hypothetical protein
regulation of transcription,
transcription factor
nucleus





DNA-dependent
activity


tousled-like kinase 1
NM_012290
tousled-like kinase 1
response to DNA damage
protein-tyrosine kinase
nucleus





stimulus; cell cycle;
activity; ATP binding;





intracellular protein
protein serine/threonine





transport; protein amino
kinase activity; DNA





acid phosphorylation;
binding; transferase





regulation of transcription,
activity





DNA-dependent;





intracellular signaling





cascade; chromatin





modification; regulation of





chromatin





assembly/disassembly



Homo sapiens cDNA FLJ14186 fis,

XM_379273
growth hormone 1,


clone NT2RP2005726.

isoform 5



Homo sapiens full length insert

AF086554


cDNA clone ZE14C04


solute carrier family 8
NM_021097
solute carrier family 8
sodium ion transport;
sodium ion transporter
integral to plasma


(sodium/calcium exchanger),

(sodium/calcium
calcium ion transport;
activity; calcium ion
membrane


member 1

exchanger), member 1
muscle contraction
transporter activity;






calmodulin binding;






calcium:sodium






antiporter activity


chromosome 13 open reading
NM_017905
chromosome 13 open


frame 11

reading frame 11


amyloid beta (A4) precursor-like
NM_001642
amyloid beta (A4)


16020; membrane;


protein 2

precursor-like protein 2


extended:Unknown;







A4_EXTRA; 5.4e−121


transketolase (Wernicke-Korsakoff
NM_001064
transketolase

transketolase activity;
GO: 4802; transketolase;


syndrome)



calcium ion binding;
predicted/computed






transferase activity


slingshot 2
NM_033389
slingshot 2


egf-like module containing, mucin-
NM_013447
egf-like module


like, hormone receptor-like 2

containing, mucin-like,




hormone receptor-like




sequence 2 isoforms a-g


hypothetical protein MGC4093
NM_030578
hypothetical protein




MGC4093


solute carrier family 11 (proton-
NM_000578
solute carrier family 11
response to bacteria;
transporter activity
integral to plasma


coupled divalent metal ion

(proton-coupled divalent
response to

membrane; membrane


transporters), member 1

metal ion transporters),
pest/pathogen/parasite;

fraction




member 1
transport; iron ion





transport; small molecule





transport



AF229163


solute carrier family 11 (proton-
NM_000578
solute carrier family 11
response to bacteria;
transporter activity
integral to plasma


coupled divalent metal ion

(proton-coupled divalent
response to

membrane; membrane


transporters), member 1

metal ion transporters),
pest/pathogen/parasite;

fraction




member 1
transport; iron ion





transport; small molecule





transport


N-acetylneuraminate pyruvate
NM_030769
N-acetylneuraminate


lyase (dihydrodipicolinate

pyruvate lyase


synthase)


ankyrin repeat and BTB (POZ)
NM_032548
ankyrin repeat and BTB

5515; protein binding;


domain containing 1

(POZ) domain

extended:inferred from




containing 1 isoforms 1-3

electronic annotation;






BTB; 7.1e−17; 5515;






protein binding;






extended:inferred from






electronic annotation;






BTB; 1.2e−16


ankyrin repeat and BTB (POZ)
NM_032548
ankyrin repeat and BTB

5515; protein binding;


domain containing 1

(POZ) domain

extended:inferred from




containing 1 isoforms 1-3;

electronic annotation;




ankyrin repeat

BTB; 7.1e−17; 5515;






protein binding;






extended:inferred from






electronic annotation;






BTB; 1.2e−16



Homo sapiens cDNA FLJ14186 fis,

XM_379273


clone NT2RP2005726.



Homo sapiens cDNA FLJ11942 fis,

AK022004


clone HEMBB1000652.


alanyl (membrane)
NM_001150
membrane alanine
proteolysis and
aminopeptidase activity;
integral to plasma


aminopeptidase (aminopeptidase

aminopeptidase
peptidolysis; angiogenesis
metallopeptidase
membrane


N, aminopeptidase M, microsomal

precursor

activity; zinc ion binding;


aminopeptidase, CD13, p150)



receptor activity;






membrane alanyl






aminopeptidase activity;






hydrolase activity


synonym: MGC50452; go_function:
NM_173462
papilin, proteoglycan-like


serine protease inhibitor activity

sulfated glycoprotein


[goid 0004867] [evidence IEA];



Homo sapiens papilin,



proteoglycan-like sulfated


glycoprotein (PAPLN), mRNA.


phosphorylase, glycogen; liver
NM_002863
phosphorylase,
glycogen metabolism;
glycogen phosphorylase


(Hers disease, glycogen storage

glycogen; liver (Hers
carbohydrate metabolism
activity; transferase


disease type VI)

disease, glycogen

activity, transferring




storage disease type VI)

glycosyl groups



Homo sapiens cDNA FLJ45384 fis,

AK127315


clone BRHIP3021987


hypothetical protein FLJ10298
NM_018050
hypothetical protein




FLJ10298



Homo sapiens mRNA for

AB028949
KIAA1026 protein
GO: 6470 protein

GO: 8181 tumor suppressor


KIAA1026 protein, partial cds.


dephosphorylation

(not recorded) GO: 163





(predicted/computed)

protein phosphatase type 1







(predicted/computed)







GO: 8598 protein







phosphatase type 1 catalyst







(not recorded)


transcript expressed during
NM_152914
transcript expressed


hematopoiesis 2

during hematopoiesis 2


hypothetical protein
NM_031305
hypothetical protein


DKFZp564B1162

DKFZp564B1162


taste receptor, type 2, member 40
NM_176882
taste receptor, type 2,
G-protein coupled receptor
G-protein coupled
integral to membrane




member 40
protein signaling pathway
receptor activity



Homo sapiens cDNA FLJ37694 fis,

AK095013


clone BRHIP2015224.


desmocollin 2
NM_004949
desmocollin 2 isoform
homophilic cell adhesion
calcium-dependent cell
cytoskeleton; intercellular




Dsc2b preproprotein;

adhesion molecule
junction; integral to




desmocollin 2 isoform

activity; calcium ion
membrane




Dsc2a preproprotein

binding


desmocollin 2
NM_004949
desmocollin 2 isoform
homophilic cell adhesion
calcium-dependent cell
cytoskeleton; intercellular




Dsc2b preproprotein;

adhesion molecule
junction; integral to




desmocollin 2 isoform

activity; calcium ion
membrane




Dsc2a preproprotein

binding



Homo sapiens full length insert

AI819863


cDNA clone YI40A07


KIAA1181 protein
NM_020462
KIAA1181 protein



Homo sapiens transcribed

BF510602


sequences


trinucleotide repeat containing 5
NM_006586
trinucleotide repeat




containing 5


ERO1-like (S. cerevisiae)
NM_014584
ERO1-like


hypothetical protein MGC45871
NM_182705
hypothetical protein




MGC45871


hypothetical protein MGC45871
NM_182705
hypothetical protein




MGC45871


RAB guanine nucleotide exchange
NM_014504
RAB guanine nucleotide

zinc ion binding; DNA


factor (GEF) 1

exchange factor (GEF) 1

binding


kinesin family member 3C
NM_002254
kinesin family member
nonselective vesicle
ATP binding; motor
kinesin complex




3C
transport
activity


hypothetical protein BC016153
NM_138788
hypothetical protein




BC016153


EF hand calcium binding protein 1
NM_022351
EF hand calcium binding

calcium ion binding




protein 1


tumor necrosis factor receptor
NM_001243
tumor necrosis factor
negative regulation of cell
transmembrane receptor
integral to membrane


superfamily, member 8

receptor superfamily,
proliferation; signal
activity




member 8 isoform 1
transduction




precursor; tumor




necrosis factor receptor




superfamily, member 8




isoform 2


hypothetical protein
NM_173078
slit and trk like 4 protein


DKFZp547M2010


chondroitin sulfate proteoglycan 2
NM_004385
chondroitin sulfate
cell recognition;
sugar binding;
extracellular matrix


(versican)

proteoglycan 2
development; heterophilic
hyaluronic acid binding;




(versican)
cell adhesion
calcium ion binding


ribonuclease, RNase A family, 4
NM_194430
ribonuclease, RNase A
mRNA cleavage
pancreatic ribonuclease
cellular_component




family, 4 precursor

activity; nucleic acid
unknown






binding; endonuclease






activity; hydrolase






activity



Homo sapiens transcribed

BM994473


sequence with weak similarity to


protein ref: NP_006620.1


(H. sapiens) zinc finger protein 271


[Homo sapiens]


hypothetical protein
NM_016613
hypothetical protein


DKFZp434L142

DKFZp434L142


chemokine (C-C motif) receptor 2
NM_000647
chemokine (C-C motif)
negative regulation of
C-C chemokine receptor
soluble fraction; integral to




receptor 2 isoform A;
adenylate cyclase activity;
activity; rhodopsin-like
plasma membrane




chemokine (C-C motif)
cytosolic calcium ion
receptor activity




receptor 2 isoform B
concentration elevation;





JAK-STAT cascade; G-





protein coupled receptor





protein signaling pathway;





chemotaxis; cellular





defense response;





invasive growth;





inflammatory response;





antimicrobial humoral





response (sensu





Vertebrata)


CGI-90 protein
NM_016033
CGI-90 protein
ubiquitin cycle; protein
ubiquitin-protein ligase
intracellular





modification
activity



Homo sapiens cDNA FLJ30798 fis,

BE044068


clone FEBRA2001161.



Homo sapiens transcribed

AV648418


sequence with moderate similarity


to protein pir: T02670 (H. sapiens)


T02670 probable thromboxane A2


receptor isoform beta - human


tumor-associated calcium signal
NM_002353
tumor-associated
vision; cell surface
receptor activity
cytosol; integral to plasma


transducer 2

calcium signal
receptor linked signal

membrane




transducer 2 precursor
transduction; cell





proliferation


homeo box A9
NM_152739
homeobox protein A9
development; oncogenesis
3700; transcription




isoform b; homeobox

factor; extended:inferred




protein A9 isoform a

from electronic






annotation; homeobox;






4.5e−30; 3700;






transcription factor;






extended:inferred from






electronic annotation;






homeobox; 7.7e−28



Homo sapiens transcribed

AW976321


sequence with weak similarity to


protein ref: NP_060190.1


(H. sapiens) hypothetical protein


FLJ20234 [Homo sapiens]



Homo sapiens mRNA; cDNA

AL117464


DKFZp586I2322 (from clone


DKFZp586I2322)


KIAA1036
NM_014909
KIAA1036



Homo sapiens cDNA FLJ30761 fis,

BC035116


clone FEBRA2000538.


palladin
NM_016081
palladin
amino acid metabolism


thymic stromal co-transporter
NM_033051
thymic stromal co-




transporter


carboxypeptidase, vitellogenic-like
NM_019029
serine carboxypeptidase
proteolysis and
serine carboxypeptidase




vitellogenic-like
peptidolysis
activity; hydrolase






activity


UI-H-FL1-bfx-k-20-0-UI.s1
BU620670


NCI_CGAP_FL1 Homo sapiens


cDNA clone UI-H-FL1-bfx-k-20-0-


UI 3′, mRNA sequence.


chemokine (C-C motif) receptor 2
NM_000647
chemokine (C-C motif)
negative regulation of
C-C chemokine receptor
soluble fraction; integral to




receptor 2 isoform A;
adenylate cyclase activity;
activity; rhodopsin-like
plasma membrane




chemokine (C-C motif)
cytosolic calcium ion
receptor activity




receptor 2 isoform B
concentration elevation;





JAK-STAT cascade; G-





protein coupled receptor





protein signaling pathway;





chemotaxis; cellular





defense response;





invasive growth;





inflammatory response;





antimicrobial humoral





response (sensu





Vertebrata)


GLI pathogenesis-related 1
NM_006851
glioma pathogenesis-
pathogenesis

extracellular


(glioma)

related protein


type I transmembrane C-type lectin
NM_014880
type I transmembrane
heterophilic cell adhesion
sugar binding; receptor
integral to membrane


receptor DCL-1

C-type lectin receptor

activity




DCL-1


hypothetical protein FLJ32115
NM_152321
hypothetical protein

oxidoreductase activity,




FLJ32115

acting on single donors






with incorporation of






molecular oxygen,






incorporation of two






atoms of oxygen


unnamed protein product; Homo
XM_370932



sapiens cDNA FLJ39639 fis, clone



SMINT2003340.; hypothetical


protein FLJ39639


HSPC063 protein
NM_014155
HSPC063 protein


CTD (carboxy-terminal domain,
NM_005730
nuclear LIM interactor-
oncogenesis
GO: 5625; soluble
soluble fraction


RNA polymerase II, polypeptide A)

interacting factor 2

fraction;


small phosphatase 2



predicted/computed


heat shock 70 kDa protein 1-like
NM_005527
heat shock 70 kDa

ATP binding; heat shock
GO: 3773; heat shock




protein 1-like

protein activity
protein; predicted/computed


karyopherin alpha 1 (importin alpha
NM_002264
karyopherin alpha 1
regulation of DNA
nuclear localization
nuclear pore; cytoplasm;


5)


recombination; NLS-
sequence binding;
nucleus





bearing substrate-nucleus
protein transporter





import; intracellular protein
activity; protein binding





transport


regulator of G-protein signalling 18
NM_130782
regulator of G-protein
signal transduction
signal transducer activity




signalling 18


regulator of G-protein signalling 2,
NM_002923
regulator of G-protein
regulation of G-protein
GTPase activator
157; peripheral plasma


24 kDa

signalling 2, 24 kDa
coupled receptor protein
activity; calmodulin
membrane protein;





signaling pathway; cell
binding; signal
predicted/computed





cycle; signal transduction
transducer activity


HIV-1 rev binding protein 2
NM_007043
HIV-1 rev binding




protein 2


HIV-1 rev binding protein 2
NM_007043
HIV-1 rev binding




protein 2



Homo sapiens mRNA; cDNA

AL137346


DKFZp761M0111 (from clone


DKFZp761M0111)


HIV-1 rev binding protein 2
NM_007043
HIV-1 rev binding




protein 2


GLI pathogenesis-related 1
NM_006851
glioma pathogenesis-
pathogenesis

extracellular


(glioma)

related protein


adaptor-related protein complex 1,
NM_003916
adaptor-related protein
endocytosis; intracellular
protein transporter
Golgi trans face; clathrin


sigma 2 subunit

complex 1 sigma 2
protein transport
activity
adaptor; coated pit; AP-1




subunit


adaptor complex; clathrin







vesicle coat


membrane-spanning 4-domains,
NM_021201
membrane-spanning 4-

receptor activity
integral to membrane


subfamily A, member 7

domains, subfamily A,




member 7


DKFZP586A0522 protein
NM_014033
DKFZP586A0522




protein



Homo sapiens cDNA FLJ39934 fis,

AL831930
hypothetical protein


clone SPLEN2021458, weakly


similar to Mus musculus mdgl-1


mRNA.



Homo sapiens transcribed

AI732570


sequences



Homo sapiens pp12719 mRNA,

AF318328


complete cds


ATP-binding cassette, sub-family C
NM_005688
ATP-binding cassette,
transport; small molecule
nucleotide binding
integral to plasma


(CFTR/MRP), member 5

sub-family C, member 5
transport
activity; organic anion
membrane; membrane






transporter activity; ATP
fraction






binding activity; ATP-






binding cassette (ABC)






transporter activity;






multidrug transporter






activity


retinoid binding protein 7
NM_052960
retinoid binding protein 7
transport
lipid binding activity;






transporter activity;






retinol binding activity


oxysterol binding protein-like 8
NM_020841
oxysterol-binding




protein-like protein 8


hypothetical protein FLJ37953
NM_152382
hypothetical protein




FLJ37953


RNA-binding region (RNP1, RRM)
NM_153020
hypothetical protein


containing 6

FLJ30829



Homo sapiens, clone

BC043219


IMAGE: 5295326, mRNA



Homo sapiens mRNA; cDNA

BX648714


DKFZp686D21117 (from clone


DKFZp686D21117)



Homo sapiens mRNA for

AB028949
KIAA1026 protein
GO: 6470 protein

GO: 8181 tumor suppressor


KIAA1026 protein, partial cds.


dephosphorylation

(not recorded) GO: 163





(predicted/computed)

protein phosphatase type 1







(predicted/computed)







GO: 8598 protein







phosphatase type 1 catalyst







(not recorded)


protein kinase, AMP-activated,
NM_017431
protein kinase, AMP-
protein kinase cascade;
SNF1A/AMP-activated
GO: 4679; SNF1A/AMP-


gamma 3 non-catalytic subunit

activated, gamma 3
energy pathways; fatty
protein kinase activity
activated protein kinase




non-catalytic subunit
acid biosynthesis

activity traceable author







statement


pleckstrin homology domain
NM_017934
pleckstrin homology


interacting protein

domain interacting




protein


hypothetical protein
NM_017566
hypothetical protein


DKFZp434G0522

DKFZp434G0522



Homo sapiens clone FLB2543

AF113675
CCR4-NOT transcription




complex, subunit 2


deoxythymidylate kinase
NM_012145
deoxythymidylate kinase
cell cycle; DNA
thymidylate kinase
GO: 16301; kinase activity;


(thymidylate kinase)

(thymidylate kinase)
metabolism; dTDP
activity; ATP binding;
inferred from electronic





biosynthesis; dTTP
transferase activity
annotation GO: 16740





biosynthesis; nucleotide

transferase activity; inferred





biosynthesis

from electronic annotation







GO: 4798; thymidylate kinase







activity; traceable author







statement GO: 5524; ATP







binding; inferred from







electronic annotation


transient receptor potential cation
NM_017662
transient receptor

5216; ion channel;


channel, subfamily M, member 6

potential cation channel,

extended:inferred from




subfamily M, member 6

sequence similarity;






ion_trans; 0.018


Rho guanine nucleotide exchange
NM_145735
Rho guanine nucleotide
signal transduction
guanyl-nucleotide


factor (GEF) 7

exchange factor 7

exchange factor activity




isoform a; Rho guanine




nucleotide exchange




factor 7 isoform b


keratin 4
NM_002272
keratin 4
cytoskeleton organization
structural molecule
intermediate filament





and biogenesis
activity



Homo sapiens mRNA; cDNA

AL833240


DKFZp761P2319 (from clone


DKFZp761P2319)



Homo sapiens transcribed

BM676479


sequences


proprotein convertase
NM_006200
proprotein convertase


subtilisin/kexin type 5

subtilisin/kexin type 5




preproprotein


reticulon 1
NM_021136
reticulon 1
signal transduction
molecular_function
endoplasmic reticulum;





neuron differentiation
unknown; signal
integral to endoplasmic






transducer activity
reticulum membrane


tubulin, beta 1
NM_030773
beta tubulin 1, class VI
microtubule-based
GTP binding; structural
microtubule





movement
molecule activity



Homo sapiens cDNA FLJ32207 fis,

AK056769


clone PLACE6003204.


similar to junction-mediating and
AK126887
KIAA1971 protein
electron transport
electron transporter


regulatory protein p300 JMY



activity



Homo sapiens cDNA FLJ37963 fis,

AK095282


clone CTONG2009689.


likely ortholog of mouse IRA1
NM_024665
nuclear receptor co-


protein

repressor/HDAC3




complex subunit


chromosome 9 open reading frame
NM_030814
chromosome 9 open


45

reading frame 45


natural killer cell group 7 sequence
NM_005601
natural killer cell group 7

GO: 5887; integral
integral to plasma




sequence

plasma membrane
membrane






protein;






predicted/computed


granzyme B (granzyme 2, cytotoxic
NM_004131
granzyme B precursor
proteolysis and
trypsin activity;
cytoplasm


T-lymphocyte-associated serine


peptidolysis; apoptosis;
granzyme B activity;


esterase 1)


cytolysis
chymotrypsin activity;






hydrolase activity


SH2 domain protein 2A
NM_003975
SH2 domain protein 2A
intracellular signaling
5070; SH3/SH2 adaptor
5737; cytoplasm;





cascade; angiogenesis
protein;
experimental evidence;






predicted/computed
5625; soluble fraction;







experimental evidence


dual specificity phosphatase 2
NM_004418
dual specificity
inactivation of MAPK;
protein
nucleus




phosphatase 2
protein amino acid
tyrosine/threonine





dephosphorylation
phosphatase activity;






protein tyrosine






phosphatase activity


chemokine (C-C motif) ligand 4
NM_002984
chemokine (C-C motif)
response to virus;
receptor signaling
extracellular space




ligand 4 precursor
establishment and/or
protein tyrosine kinase





maintenance of cell
activity; chemokine





polarity; cell growth and/or
activity





maintenance; chemotaxis;





cell adhesion; immune





response; cell motility;





signal transduction; cell-





cell signaling;





inflammatory response;





viral genome replication



Homo sapiens cDNA FLJ38531 fis,

AK095850
Unknown (protein for


clone HCHON2001050.

IMAGE: 2822295)



Homo sapiens partial mRNA; ID

R01220


YG31-1, YG81-3B, LG43-4B2


hypothetical protein MGC29671
NM_182538
hypothetical protein




MGC29671



Homo sapiens, clone

BC043400


IMAGE: 6016214, mRNA


hypothetical protein LOC90637
NM_182491
hypothetical protein
electron transport
electron transporter




LOC90637

activity;






molecular_function






unknown


cell division cycle associated 7
NM_031942
cell division cycle




associated protein 7




isoform 1; cell division




cycle associated protein




7 isoform 2


hypothetical protein MGC24665
NM_152308
hypothetical protein




MGC24665


interferon, gamma
NM_000619
interferon, gamma
cell surface receptor
interferon-gamma
extracellular





linked signal transduction;
receptor binding;





immune response; cell
cytokine activity





motility; cell-cell signaling;





regulation of cell growth


regulator of G-protein signalling 1
NM_002922
regulator of G-protein
G-protein signaling,
GTPase activator
plasma membrane




signalling 1
adenylate cyclase
activity; calmodulin





inhibiting pathway;
binding; signal





immune response; signal
transducer activity





transduction; B-cell





activation


hypothetical protein FLJ12150
NM_024736
hypothetical protein




FLJ12150


methylene tetrahydrofolate
NM_006636
methylene
one-carbon compound
methenyltetrahydrofolate
mitochondrion


dehydrogenase (NAD+

tetrahydrofolate
metabolism; folic acid and
cyclohydrolase activity;


dependent),

dehydrogenase 2
derivative biosynthesis
electron transporter


methenyltetrahydrofolate

precursor

activity; magnesium ion


cyclohydrolase



binding;






methylenetetrahydrofolate






dehydrogenase (NAD)






activity; oxidoreductase






activity


F-box only protein 6
NM_018438
F-box only protein 6
proteolysis and
ubiquitin conjugating
GO: 4842; ubiquitin - protein





peptidolysis
enzyme activity;
ligase; not recorded






ubiquitin-protein ligase
GO: 4840; ubiquitin






activity
conjugating enzyme;







predicted/computed


bone marrow stromal cell antigen 2
NM_004335
bone marrow stromal
humoral immune
GO: 5887; integral
integral to plasma




cell antigen 2
response; development;
plasma membrane
membrane





cell proliferation; cell-cell
protein;





signaling
predicted/computed


hypothetical protein FLJ12770
NM_032174
hypothetical protein
anion transport
voltage-dependent ion-
mitochondrial outer




FLJ12770

selective channel activity
membrane


neuritin 1
NM_016588
neuritin precursor


metallothionein 1H
NM_005951
metallothionein 1H

metal ion binding
GO: 5505; heavy metal







binding; not recorded


metallothionein 1G
NM_005950
metallothionein 1G

metal ion binding
GO: 5505; heavy metal







binding; not recorded


metallothionein 1H
NM_005951
metallothionein 1H

metal ion binding


metallothionein 2A
NM_175617
metallothionein 1E
heavy metal ion transport
heavy metal ion






transporter activity



AL031602


metallothionein 1X
NM_005952
metallothionein 1X
response to metal ion
metal ion binding
cytoplasm


metallothionein 1X
NM_005952
metallothionein 1X
response to metal ion
metal ion binding
GO: 5505; heavy metal







binding; not recorded


metallothionein 1F (functional)
NM_005949
metallothionein 1F
biological_process
copper ion binding; zinc
cytoplasm





unknown
ion binding; metal ion






binding; cadmium ion






binding


brain acyl-CoA hydrolase
NM_181862
brain acyl-CoA
lipid metabolism
serine esterase activity;
cytoplasm




hydrolase isoform

acyl-CoA binding;




hBACHa; brain acyl-CoA

hydrolase activity;




hydrolase isoform

palmitoyl-CoA hydrolase




hBACHa/X; brain acyl-

activity




CoA hydrolase isoform




hBACHa/Xi; brain acyl-




CoA hydrolase isoform




hBACHb; brain acyl-CoA




hydrolase isoform




hBACHc; brain acyl-CoA




hydrolase isoform




hBACHd


argininosuccinate synthetase
NM_054012
argininosuccinate
urea cycle; arginine
ATP binding activity;
cytoplasm




synthetase
biosynthesis
argininosuccinate






synthase activity; ligase






activity


RAD51 homolog (RecA homolog,
NM_002875
RAD51 homolog protein
mitotic recombination;
DNA dependent ATPase
nucleus



E. coli) (S. cerevisiae)


isoform 1; RAD51
meiotic recombination;
activity; damaged DNA




homolog protein isoform 2
DNA repair
binding; nucleotide






binding; ATP binding


v-jun sarcoma virus 17 oncogene
NM_002228
v-jun avian sarcoma
cell growth and/or
RNA polymerase II
nuclear chromosome


homolog (avian)

virus 17 oncogene
maintenance; regulation of
transcription factor




homolog
transcription, DNA-
activity





dependent


chromosome 14 open reading
NM_031427
chromosome 14 open


frame 168

reading frame 168


ets variant gene 5 (ets-related
NM_004454
ets variant gene 5 (ets-
regulation of transcription,
transcription factor
nucleus


molecule)

related molecule)
DNA-dependent
activity


metallothionein 1K
NM_176870
metallothionein 1K


Jun dimerization protein p21SNFT
NM_018664
Jun dimerization protein
response to
transcription co-
nucleus




p21SNFT
pest/pathogen/parasite;
repressor activity;





regulation of transcription,
transcription factor





DNA-dependent;
activity





transcription from Pol II





promoter


potassium channel tetramerisation
NM_023930
hypothetical protein
potassium ion transport
voltage-gated potassium
membrane; voltage-gated


domain containing 14

MGC2376

channel activity; protein
potassium channel complex






binding


chemokine (C-C motif) ligand 2
NM_002982
small inducible cytokine
response to pathogenic
chemokine activity;
membrane; extracellular




A2 precursor
bacteria; JAK-STAT
protein kinase activity
space





cascade; G-protein





signaling, coupled to cyclic





nucleotide second





messenger; chemotaxis;





protein amino acid





phosphorylation; calcium





ion homeostasis; humoral





immune response; cell





adhesion; cell-cell





signaling; inflammatory





response; organogenesis;





viral genome replication


IQ motif containing GTPase
NM_178229
IQ motif containing
small GTPase mediated
Ras GTPase activator


activating protein 3

GTPase activating
signal transduction
activity




protein 3


tight junction protein 1 (zona
NM_003257
tight junction protein 1
intercellular junction
protein binding
septate junction; tight


occludens 1)

isoform a; tight junction
assembly

junction; membrane fraction;




protein 1 isoform b


plasma membrane


proteoglycan 2, bone marrow
NM_002728
proteoglycan 2
xenobiotic metabolism;
sugar binding; heparin
extracellular; cytoplasm


(natural killer cell activator,


immune response;
binding; toxin activity


eosinophil granule major basic


inflammatory response;


protein)


heterophilic cell adhesion


early growth response 1
NM_001964
early growth response 1
regulation of transcription,
transcription factor
nucleus





DNA-dependent
activity


Human cathepsin-L-like (CTSLL3)
L25629


mRNA.


chemokine (C-C motif) ligand 3
NM_002983
chemokine (C-C motif)
G-protein coupled receptor
chemokine activity;
soluble fraction; extracellular




ligand 3
protein signaling pathway;
antiviral response





cytoskeleton organization
protein activity; signal





and biogenesis;
transducer activity





chemotaxis; calcium ion





homeostasis; exocytosis;





immune response; cell





motility; signal





transduction; cell-cell





signaling; inflammatory





response; antimicrobial





humoral response (sensu





Vertebrata); regulation of





viral genome replication


cAMP responsive element
NM_183013
cAMP responsive
signal transduction
5515; protein binding;
nucleus


modulator

element modulator

extended:inferred from




isoforms a-b, d-m

electronic annotation;






pKID; 4.6e−24


J domain containing protein 1
NM_021800
J domain containing
protein folding
chaperone activity




protein 1


apolipoprotein C-I
NM_001645
apolipoprotein C-I
lipid transport; lipid
lipid transporter activity
extracellular




precursor
metabolism; lipoprotein





metabolism


olfactory receptor, family 2,
NM_012368
olfactory receptor, family
olfaction; G-protein
olfactory receptor activity
integral to membrane


subfamily C, member 1

2, subfamily C, member 1
coupled receptor protein





signaling pathway


apolipoprotein C-I
NM_001645
apolipoprotein C-I
lipid transport; lipid
lipid transporter activity
extracellular




precursor
metabolism; lipoprotein





metabolism


gb: BC020700.1
BC020700

GO: 5978; glycogen
GO: 5792; microsome;
GO: 16787; hydrolase


/DB_XREF = gi: 18088393


biosynthesis; inferred from
not recorded GO: 5783;
activity; inferred from


/TID = Hs2Affx.1.389 /CNT = 1


electronic annotation
endoplasmic reticulum;
electronic annotation


/FEA = FLmRNA /TIER = FL /STK = 1



inferred from electronic
GO: 4346; glucose-6-


/NOTE = sequence(s) not in



annotation GO: 16021;
phosphatase activity;


UniGene /DEF = Homo sapiens,



integral to membrane;
traceable author statement


clone MGC: 22459



inferred from electronic


IMAGE: 4722671, mRNA, complete



annotation


cds. /PROD = Unknown (protein for


MGC: 22459) /FL = gb: BC020700.1



Homo sapiens, clone

BC039329


IMAGE: 5267606, mRNA


v-jun sarcoma virus 17 oncogene
NM_002228
v-jun avian sarcoma
cell growth and/or
RNA polymerase II
nuclear chromosome


homolog (avian)

virus 17 oncogene
maintenance; regulation of
transcription factor




homolog
transcription, DNA-
activity





dependent


v-maf musculoaponeurotic
NM_012323
transcription factor
regulation of transcription,
DNA binding;
nucleus


fibrosarcoma oncogene homolog F

MAFF
DNA-dependent
transcription co-activator


(avian)



activity


chemokine (C-C motif) receptor-
NM_003965
chemokine (C-C motif)
G-protein coupled receptor
chemokine receptor
integral to plasma


like 2

receptor-like 2
protein signaling pathway;
activity
membrane





chemotaxis; antimicrobial





humoral response (sensu





Invertebrata)


H factor (complement)-like 1
NM_002113
H factor (complement)-




like 1


suppressor of cytokine signaling 1
NM_003745
suppressor of cytokine
JAK-STAT cascade;
protein kinase inhibitor
cytoplasm




signaling 1
intracellular signaling
activity





cascade; regulation of cell





growth


H factor 1 (complement)
NM_000186
H factor 1 (complement)
complement activation,
complement activity
extracellular space





alternative pathway


zinc finger protein, subfamily 1A, 4
NM_022465
zinc finger protein,


(Eos)

subfamily 1A, 4


synaptopodin 2
AL833547


Siah-interacting protein
NM_014412
calcyclin binding protein


KIAA0478 gene product
NM_014870
KIAA0478 gene product
regulation of transcription,
protein binding; DNA
nucleus





DNA-dependent
binding


microtubule-associated protein 1B
NM_005909
microtubule-associated
microtubule-based
structural molecule
microtubule associated




protein 1B isoform 1;
process
activity
complex




microtubule-associated




protein 1B isoform 2


ectonucleoside triphosphate
NM_001248
ectonucleoside

apyrase activity;
integral to membrane


diphosphohydrolase 3

triphosphate

magnesium ion binding;




diphosphohydrolase 3

hydrolase activity


ym42f03.s1 Soares infant brain
H17132


1NIB Homo sapiens cDNA clone


IMAGE: 50973 3′, mRNA


sequence.


hypothetical protein LOC339807
XM_379099


hypothetical protein BC008988
NM_138379
hypothetical protein




BC008988



Homo sapiens cDNA FLJ14061 fis,

AK024123


clone HEMBB1000749.


FERM, RhoGEF (ARHGEF) and
NM_005766
FERM, RhoGEF, and

Rho guanyl-nucleotide
cytoskeleton


pleckstrin domain protein 1

pleckstrin domain

exchange factor activity


(chondrocyte-derived)

protein 1


ankyrin repeat domain 1 (cardiac
NM_014391
cardiac ankyrin repeat
defense response; signal
DNA binding activity
nucleus


muscle)

protein
transduction



Homo sapiens cDNA FLJ35233 fis,

AK092552


clone PROST2001540.


RNA terminal phosphate cyclase-
NM_005772
RNA cyclase homolog
biological_process
RNA-3′-phosphate
nucleolus


like 1


unknown
cyclase activity


2′-5′-oligoadenylate synthetase 3,
NM_006187
2′-5′oligoadenylate
nucleobase, nucleoside,
ATP binding; antiviral
microsome


100 kDa

synthetase 3
nucleotide and nucleic
response protein





acid metabolism; immune
activity; RNA binding;





response
transferase activity;






nucleotidyltransferase






activity


cyclin-E binding protein 1
NM_016323
cyclin-E binding protein 1
ubiquitin cycle; regulation
ubiquitin-protein ligase
intracellular





of CDK activity
activity


chromosome 1 open reading frame
NM_006820
histocompatibility 28


29


interferon, alpha-inducible protein
NM_005101
interferon, alpha-
immune response; cell-cell
protein binding
extracellular space;


(clone IFI-15K)

inducible protein (clone
signaling

cytoplasm




IFI-15K)


XIAP associated factor-1
NM_017523
XIAP associated factor-

zinc ion binding




1 isoform 1; XIAP




associated factor-1




isoform 2


hypothetical protein FLJ22693
NM_022750
zinc finger CCCH type

nucleic acid binding




domain containing 1


2′-5′-oligoadenylate synthetase 2,
NM_002535
2′-5′oligoadenylate
nucleobase, nucleoside,
ATP binding activity;
membrane; microsome


69/71 kDa

synthetase 2 isoform
nucleotide and nucleic
antiviral response




p69; 2′-5′oligoadenylate
acid metabolism; immune
protein activity; RNA




synthetase 2 isoform
response
binding activity;




p71

transferase activity;






nucleotidyltransferase






activity


lymphocyte antigen 6 complex,
NM_002346
lymphocyte antigen 6
defense response; cell
GO: 5887; integral
membrane; integral to


locus E

complex, locus E
surface receptor linked
plasma membrane
plasma membrane





signal transduction
protein;






predicted/computed


2′-5′-oligoadenylate synthetase 2,
NM_002535
2′-5′oligoadenylate
nucleobase, nucleoside,
ATP binding activity;
membrane; microsome


69/71 kDa

synthetase 2 isoform
nucleotide and nucleic
antiviral response




p69; 2′-5′oligoadenylate
acid metabolism; immune
protein activity; RNA




synthetase 2 isoform
response
binding activity;




p71

transferase activity;






nucleotidyltransferase






activity


DNA polymerase-transactivated
NM_015535
DNA polymerase-


protein 6

transactivated protein 6


ubiquitin specific protease 18
NM_017414
ubiquitin specific
ubiquitin-dependent
ubiquitin-specific
nucleus




protease 18
protein catabolism
protease activity;






cysteine-type






endopeptidase activity;






ubiquitin thiolesterase






activity; hydrolase






activity


Mov10, Moloney leukemia virus 10,
NM_020963
Mov10, Moloney


homolog (mouse)

leukemia virus 10,




homolog


synonyms: LAMP, DCLAMP,
NM_014398
lysosomal-associated
cell proliferation
GO: 5765; lysosomal
lysosomal membrane


TSC403, DC-LAMP; Homo

membrane protein 3

membrane;



sapiens lysosomal-associated




predicted/computed


membrane protein 3 (LAMP3),


mRNA.


viperin
NM_080657
viperin



Homo sapiens transcribed

BG205162


sequences


hypothetical protein BC009980
NM_138433
hypothetical protein




BC009980


transmembrane 6 superfamily
NM_023003
transmembrane 6


member 1

superfamily member 1


hemoglobin, zeta
NM_005332
zeta globin
oxygen transport
oxygen transporter
hemoglobin complex






activity


carbohydrate sulfotransferase 10
NM_004854
HNK-1 sulfotransferase
cell adhesion
sulfotransferase activity
Golgi apparatus; membrane







fraction


zinc finger, CW-type with PWWP
NM_017984
zinc finger, CW-type


domain 1

with PWWP domain 1


alpha-2-macroglobulin
NM_000014
alpha 2 macroglobulin
intracellular protein
protein carrier activity;
GO: 4866; proteinase




precursor
transport
serine protease inhibitor
inhibitor; not recorded






activity; wide-spectrum
GO: 8320; protein carrier; not






protease inhibitor activity
recorded


phospholipase C, delta 3
NM_133373
phospholipase C delta 3
lipid metabolism;
calcium ion binding;
GO: 4629; PI-PLC-X;





intracellular signaling
phosphoinositide
phospholipase C activity;





cascade
phospholipase C activity
1.9e−76; extended:inferred







from sequence similarity



Homo sapiens cDNA: FLJ22620

AK026273


fis, clone HSI05629



Homo sapiens transcribed

BM543270


sequence with weak similarity to


protein ref: NP_055301.1


(H. sapiens) neuronal thread


protein [Homo sapiens]



Homo sapiens, clone

BE791720


IMAGE: 6454649, mRNA


myosin light chain kinase (MLCK)
NM_182493
myosin light chain
protein amino acid
ATP binding; protein
GO: 4672; pkinase; protein




kinase (MLCK)
phosphorylation
serine/threonine kinase
kinase activity; 6.3e−88;






activity; transferase
extended:inferred from






activity
electronic annotation



Homo sapiens, clone

BI827840


IMAGE: 5166083, mRNA









Table 2 below, lists the accession numbers, nucleic acid sequences, and protein sequences of several of the upregulated metallothionein family members.









TABLE 2







Selected Metallothionein genes upregulated in high risk septic shock















PROTEIN




GENE SEQ
CDS SEQ
SEQ ID


Name
CDS ACC#
ID NO:
ID NO:
NO:














metallothionein 1E
NM_175617
1
2
3


metallothionein 1F
NM_005949
4
5
6


metallothionein 1H
NM_005951
7
8
9


metallothionein 1G
NM_005950
10
11
12


metallothionein 1X
NM_005952
13
14
15


metallothionein 1K
NM_176870
16
17
18









Principle component analysis was used to compare the expression of the 400 differentially expressed genes, as shown in FIG. 2. This analysis was based on the relative strength of different expression patterns that are activated or repressed in a given patient. These relative strengths were quantified for each patient and are graphed according to the strength of three principal components for each patient in the 3-dimensional graph. The pattern of expression of the 400 predictor genes in the septic shock patients that succumbed is different than in those who survived. The data for the patients that succumbed (shown in red) clusters in a region of the graph that reflects the altered expression pattern of many genes.


The 400 genes that were found in the analysis serve as very strong markers for predicting high risk patients, although there are also other genes that were found to be capable of predicting a high risk outcome.


The separation of the patients that would later succumb is based on the induction of the metallothionein genes and on the failure to activate the expression of the genes that are much more strongly induced in the surviving septic shock patients. Thus, the genes that are strongly induced in patients who were able to recover are part of the body's protective response.


In addition to being a predictor of death, the MT genes were also an early predictor of death. Samples that were obtained on the first day of septic shock were already positive for metallothionein gene expression. Children with septic shock who progressed to death had high expression levels of the MT gene family members, whereas control patients and patients that survived septic shock did not. These data show that MT, in particular, is a biomarker for early prediction of death in pediatric septic shock.


Metallothionein family proteins are ubiquitous in eukaryotes. Four metallothionein genes, MT-1, MT-2, MT-3, and MT-4, have been extensively characterized. MT-1 and MT-2 have been found to be induced by a variety of metals, drugs, and inflammatory mediators. The MT family members are low molecular weight, cysteine-rich proteins that are localized in the cytosol. These proteins are capable of binding to metals, and also exhibit redox capabilities. One role of the MT proteins is the protection from metal toxicity, possibly by binding and sequestration of excess metal ions. Other roles for metallothionein are also indicated. FIG. 3 is a diagram showing a summary of motifs in the promoter region of the genes encoding various MT family members.


The consequences of metallothionein gene and protein induction can be anticipated to lead to changes in zinc levels (as shown in FIG. 5), the levels of other proteins, and changes in the activation of many other genes and alterations in the cell and outside of the cell. Any of these serve to indicate that the patient is in extreme risk and needs urgent treatment.


In addition to the metallothionein family, many other genes were found to be upregulated in the high risk group of septic shock individuals. A partial list of these upregulated genes is listed below in Table 3. Thus, in some embodiments of the invention, a set of signature genes that is upregulated in individuals at high risk of death is provided. Some of these signature genes can be useful as early predictors of the high risk of death from septic shock.









TABLE 3







Additional selected genes highly activated in non-survivors













GENE
CDS
PROTEIN


NAME
ACC #
SEQ ID
SEQ ID
SEQ ID





granzyme B (granzyme 2,
NM_004131
19
20
21


cytotoxic T-lymphocyte-


associated


serine esterase 1)


dual specificity phosphatase
NM_004418
22
23
24


2


regulator of G-protein
NM_002922
25
26
27


signalling 1


V-Jun
NM_002228
28
29
30


Jun dimerization protein
NM_018664
31
32
33


chemokine ligand 2
NM_002982
34
35
36


chemokine ligand 3
NM_002983
37
38
39


chemokine (C-C motif)
NM_003965
40
41
42


receptor-like 2


cAMP responsive element
NM_183013
43
44
45


modulator


complement factor H
NM_000186
46
47
48


SOCS 1
NM_003745
49
50
51


Interferon-gamma
NM_000619
52
53
54


interferon regulatory factor
NM_004031
55
56
57


7









Several genes were also found to be repressed or not activated in the non-survivors in comparison to the survivors. Table 4, below, lists a summary of these genes. A knowledge of genes that are downregulated in the non-survivors can also be useful for diagnosis of the severity of a case of septic shock.









TABLE 4







Selected genes repressed or not activated in non-survivors













GENE
CDS
PROTEIN


NAME
ACC #
SEQ ID
SEQ ID
SEQ ID














Retinoid X receptor
NM_021976
58
59
60


Caspase recruitment domain family,
NM_021209
61
62
63


(member 12)


Caspase 2
NM_032982
64
65
66


AtP binding cassette
NM_000352
67
68
69


Factor V Leiden
NM_000130
70
71
72


Protein phosphatase 1 (3D)
NM_006242
73
74
75


Protein kinase C
NM_002738
76
77
78


Zinc finger protein 36
BX640646
79
80
81


Zinc finger protein 238
NM_006352
82
83
84


Solute carrier family 30 (zinc
NM_017964
85
86
87


transporter)


Zinc finger protein ZNF-U69274
NM_014415
88
89
90


Hypothetical protein FLJ39485 (zinc
NM_175920
91
92
93


ion binding)


Ret finger protein 2 (zinc ion binding)
NM_052811
94
95
96


RAB guanine nucleotide exchange
NM_014504
97
98
99


factor 1 (zinc ion binding)


NP220 nuclear protein (zinc finger)
NM_014497
100
101
102


Heat shock protein 70
NM_005527
103
104
105


Retinoid binding protein 7
NM_052960
106
107
108


Regulator of G-protein signaling 2
NM_002923
109
110
111


Chemokine receptor 2
NM_000647
112
113
114


Tumor necrosis factor receptor
NM_001243
115
116
117


superfamily, member 8


Solute carrier family 11 (divalent
NM_000578
118
119
120


metal ion transporter)









In some embodiments of the invention, measurement of the upregulation of MT genes or other high risk septic shock genes can be used to separate those patients that are in need of drastic treatment from those patients who are likely to get better with less invasive treatments, such as antibiotic treatment. Many of the currently used septic shock therapies are suitable for high risk patients, but would be unsuitable for lower risk patients who are more likely to improve without drastic measures. For example, pediatric patients with severe septic shock are candidates for cardiopulmonary bypass, but this treatment can be too risky for many patients unless the threat of death is severe.


In some embodiments of the invention, a method of determining whether an individual is at high risk of death due to septic shock is provided, where at least one of the high risk septic shock genes is upregulated. The upregulation can be measured by any suitable means. Examples of measurement techniques include but are not limited to measurement of the presence or level of mRNA, protein, level of post translational modification of a protein, real time PCR, and the like. Preferably, the outcome of the measurement is obtained rapidly, within 24 hours or less, most preferably within about 3 hours, so that suitable therapies can be given immediately. Relatively rapid test measurements, such as dipsticks, test strips, chip technologies, tissue blots, or other methods can be used. The results of these rapid measurements can then be confirmed using additional testing, if desired. An example of the use of a test strip to rapidly detect high risk septic shock in a patient is shown in Example 9.


DNA arrays or gene chips that include one or more of the differentially expressed genes can be used to measure the gene upregulation. An array can also contain a specific subset of the differentially expressed genes that can represent, for example, genes that are only up-regulated in late disease, genes that are only upregulated early in the disease, genes that are only up-regulated in pediatric patients, or genes that are only up-regulated in the presence of certain co-diseases. Protein assays to determine the presence of MT or other signature genes can be performed. An exemplary method of preparing a metallothionein protein assay is shown in Example 6.


Further embodiments of the present invention relate to methods for the diagnosis and analysis of high risk septic shock in a patient. The methods can include, for example, obtaining a patient sample containing mRNA; analyzing gene expression using the mRNA that results in a gene expression signature of that mRNA, wherein the gene expression signature includes the identification and quantification of gene expression from genes that have been identified as being differentially expressed in patients with high risk septic shock; and using that gene expression signature to diagnose or analyze the status of septic shock in the patient, wherein expression of at least about 60% of the signature genes correlates with high risk septic shock. In other embodiments, high risk septic shock is indicated by expression of about 30%, 40%, or 50% or the signature genes, or about 70%, 80%, or 90% of the signature genes.


In additional embodiments of the present invention, a set of genes that is typically downregulated in individuals at high risk of death due to septic shock is provided. Table 3 displays a list of several of these genes. In some embodiments, at least one of the genes that is downregulated in high risk individuals is measured to help in the prediction of risk of death in an individual with septic shock. The expression level of at least about 1, 2, 4, 6, 8, 10, 25, 50, or 100 or more of the set of genes typically downregulated in high risk individuals can be measured, for example, using microarray analysis. The downregulation can be measured by any means known in the art. Examples of measurement techniques include but are not limited to measurement of the presence or level of mRNA, protein, level of post translational modification of a protein, and the like.


The individual to be tested for high risk of death due to septic shock can be of any age. For example, a newborn child, an infant, a toddler, a youth, a teenager, an adult, or an elderly person can be tested. In some embodiments of the invention, any mammal can be tested for high risk of septic shock. Preferably, the mammal is a human.


The individual can be tested, for example, on a one-time bases, then treated accordingly. The individual can be tested periodically, for example to determine whether treatment is progressing. Samples can be taken, for example, about every 30 minutes, every hour, every two hours, every four hours, every 6 hours, every 12 hours, or daily.


The sample to be measured can be taken from various body sources. In some embodiments, the sample is a blood sample. Preferably, a blood sample is taken, the RBCs are separated from the serum, the cells are lysed, and the contents are subjected to the chosen test method. In additional embodiments, a suitable sample can be taken from other cell types or tissues of the body. Additional exemplary sample sources include but are not limited to a tissue, amniotic fluid, urine, bronchoalveolar lavage, and the like.


MT (or other septic shock signature genes of interest) levels can be measured using any suitable method, as known by those of skill in the art. For example, a test for activated MT promoters can be performed, using, for example, PCR methods. A lack of activation of the MT promoters can indicate protection from high risk septic shock.


In additional embodiments, mRNA can be measured. The mRNA can be extracted from a blood sample of the patient, using, for example, a quick prep kit. Procedures such as rtPCR can then be used, in addition to advanced technologies in high density or low density chip format, to quickly and accurately predict whether the patient is at normal risk or high risk of death due to septic shock.


In a further embodiment, MT protein can be measured. MT protein (or other septic shock signature genes of interest) can be measured, for example, using an ELISA or dipstick method. Accordingly, in some embodiments of the invention, kits, assays, dipsticks, and other systems and methods for diagnosing high risk septic shock are provided, by determining the level and variabilities (genetic or protein levels) of high risk septic shock upregulated and downregulated proteins or genes in a patient.


400 Signature Genes for High Risk Septic Shock

The microarray analysis used to examine the septic shock signature is described in Examples 4 and 5. The analysis of high risk septic shock patients revealed a set of about 400 differentially expressed genes. These genes, their protein name, accession numbers, cellular information, and other information are listed in Table 1. These septic shock genes can be used for a variety of purposes individually or in various combinations. This set of differentially expressed genes can be thought of as a “signature” or a “fingerprint” of high risk septic shock. The signature can be used, for example, to diagnose high risk septic shock in a patient and to analyze the severity of the disease. In some embodiments of the present invention, the pattern of specifically up- and down-regulated genes is compared to a control, a patient who does not have septic shock, or a patient who has a less severe form of septic shock.


A patient's risk for septic shock-related death can be examined by comparing the patient's expression level of at least one of the signature genes to levels of the signature genes shown in Tables 2-4. However, an exact correlation is not required to be within the scope of the invention. For example, a determination that a patient only exhibits increased expression of some of the signature genes can still be indicative of a patient's risk for death due to septic shock. Thus, a biological sample that is taken from a patient and is determined to have increased expression of, for example, about 1, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, or 95 percent of the signature genes may still be determined to be at risk of death from septic shock.


The gene expression pattern in combination with the expression level of the gene can be used to indicate an individual's risk for septic shock death. Accordingly, the scope of the invention is not limited to determining whether a patient is at risk for death from septic shock by matching expression levels of all high risk septic shock signature genes. Similarly, it is not required to match the expression levels of all of the signature genes in order to determine that a patient is at risk for death from septic shock. For similar reasons, it is not necessary for a patient's gene expression profile to match exactly the high risk septic shock upregulated and downregulated signature genes in order to determine an individual's prognosis or likely responses to treatment regimes.


In some embodiments of the invention, analysis methods can involve the identification of the signature of differential expression of one or more of the identified genes for a specific patient. In some embodiments, the method includes isolation of mRNA from a diseased tissue, blood sample, or other sample from a patient suspected of having septic shock or exhibiting active septic shock. The expression of the genes that are specifically identified as differentially regulated during high risk septic shock can be analyzed, in comparison to the set of high risk septic shock upregulated and downregulated genes as listed herein. The “signature” is produced as the pattern of up- and down-regulated genes within that patient's sample. The signature can be used for diagnostic methods, for prognostic methods, for analysis of the most efficacious treatment for the patient, and for analysis of the efficacy of the treatment or the progression of the disease.


The gene expression analysis can involve, for example, about 10 genes or more that are identified as differentially expressed in high risk septic shock, preferably at least about 50 genes that are identified as differentially expressed in high risk septic shock, more preferably at least about 100, 200, 300, 400, or 500 genes that are identified as differentially expressed in high risk septic shock, and the like. The genes identified can be expressed at least about 1.1, 1.5, 2, 5, 10, 50, or 100 or more fold higher or lower than normal. Further, in some embodiments, the gene expression of at least about 70% of the genes correlates with that of the gene signature, preferably, the gene expression of at least about 80% of the genes correlates with that of the gene signature, more preferably, the gene expression of at least about 90% of the genes correlates with that of the gene signature, still more preferably, the gene expression of at least about 95% of the genes correlates with that of the gene signature, and the like.


Method of Diagnosis, Prognosis, and Treatment Analysis of a Patient with a High Risk Form of Septic Shock


The genes that are correlated with high risk forms of septic shock can be analyzed as to differential expression in a specific patient by any means known to one of skill in the art. Some embodiments involve isolation of the mRNA from a patient sample.


The isolated mRNA can then be used to analyze gene expression by any method known to one of skill in the art. In one embodiment, the mRNA is used to analyze a “high risk septic shock genechip” or array. From this analysis, a specific patient profile or signature of the genes and amount of differential expression is produced. The amount of differential expression is compared to a normal patient or other control. In some embodiments, the ranges and values of expression for a normal patient are derived using at least 2 normal patients or more, including at least 3, at least 4, at least 5, at least about 10, at least about 20, and at least about 50. In a further embodiment, the ranges and values of expression for a normal patient are derived using a statistical sampling of the population, or a statistical sampling of the area, ethnic group, age group, social group, or sex. In a further embodiment, the range and values of gene expression for a normal patient are derived from the patient before disease or during remission.


The results of the signature can be used in any one or more of the methods disclosed herein. Alternatively, one or more of the analyses can be included in one chip or array. The specific signature can include the results of the expression levels of one or more genes in that specific patient. In one embodiment, the signature is the results of the expression levels of at least about 10 genes, preferably at least about 40 genes, however, the signature can include the results of 50, 60, 70, 80, 90, 100, 150, 200, 250, 500, 750, 1,000, or 2,000 genes that have been identified as being differentially expressed in high risk septic shock. Some genes, such as those in the MT family, are more important or more involved in the manifestation or activation of high risk septic shock. Thus, the signature can require fewer genes when those that are more important have been identified and included.


In one embodiment, the results of the signature are used in a method of diagnosis. The method of diagnosis can include, for example, a method of diagnosis of high risk of death due to septic shock, a method of diagnosis of severity of the disease, a method of diagnosis of a manifestation of the disease and can include any or all of the above.


In another embodiment of the present invention, the results of the high risk septic shock signature can be used for prognosis of the outcome of the disease. The prognosis in various patients can vary tremendously. Some patients can progress to death very rapidly and may need a very aggressive treatment plan. Other patients can have a different reaction and may progress very slowly, requiring a more measured and less aggressive treatment plan. This can be important when considering side effects, quality of life, and patient needs.


In a further embodiment, the results of the septic shock signature are used in methods of identification of the most efficacious treatment for a specific patient. The patient response to a drug or protocol can depend on which genes are being expressed. However, the choice of a treatment method can also involve a number of factors besides the gene expression of specific genes, including, the form of septic shock, the severity of septic shock, the presence of co-diseases, and other patient circumstances. Many of these factors can be identified using one or more of the methods included herein.


Diagnostic Kits

Additional embodiments of the present invention encompass diagnostic kits to test for high risk septic shock. A kit can be provided, for example, that contains the components for testing an individual for high risk septic shock. The kit can contain, for example, a dipstick assay for measuring the presence of a metallothionein protein, a positive and negative control, instructions, and other materials. The kit can be designed, for example, for use by paramedics, in an emergency room, a hospital room or unit, homecare nursing staff, or home use. In some embodiments, the kits can utilize antibodies that have specific binding affinity to at least one of the proteins produced during high risk septic shock. By “specific binding affinity” is meant that the antibody binds to the target polypeptides with greater affinity than it binds to other polypeptides under specified conditions. Antibodies having specific binding affinity to a septic shock polypeptide can be used in methods for detecting the presence and/or amount of a polypeptide in a sample by contacting the sample with the antibody under conditions such that an immunocomplex forms and detecting the presence and/or amount of the antibody conjugated to the polypeptide. Diagnostic kits for performing such methods can be constructed to include a first container containing the antibody and a second container having a conjugate of a binding partner of the antibody and a label, such as, for example, a radioisotope. The diagnostic kit can also include, for example, notification of an FDA-approved use and instructions.


Preparation of a Microarray for Diagnosis of High Risk of Death from Septic Shock


A microarray device and method to detect high risk septic shock in an individual can be prepared by those of skill in the art. In some embodiments, “array” or “microarray” refers to a predetermined spatial arrangement of capture nucleotide sequences present on a surface of a solid support. The capture nucleotide sequences can be directly attached to the surface, or can be attached to a solid support that is associated with the surface. The array can include one or more “addressable locations,” that is, physical locations that include a known capture nucleotide sequence.


An array can include any number of addressable locations, e.g., 1 to about 100, 100 to about 1000, or more. In addition, the density of the addressable locations on the array can be varied. For example, the density of the addressable locations on a surface can be increased to reduce the necessary surface size. Typically, the array format is a geometrically regular shape, which can facilitate, for example, fabrication, handling, stacking, reagent and sample introduction, detection, and storage. The array can be configured in a row and column format, with regular spacing between each location. Alternatively, the locations can be arranged in groups, randomly, or in any other pattern. In some embodiments an array includes a plurality of addressable locations configured so that each location is spatially addressable for high-throughput handling. Examples of arrays that can be used in the invention have been described in, for example, U.S. Pat. No. 5,837,832, which is hereby incorporated by reference in its entirety.


In a two-dimensional array the addressable location is determined by location on the surface. However, in some embodiments the array includes a number of particles, such as beads, in solution. Each particle includes a specific type or types of capture nucleotide sequence(s). In this case the identity of the capture nucleotide sequence(s) can be determined by the characteristics of the particle. For example, the particle can have an identifying characteristic, such as shape, pattern, chromophore, or fluorophore.


Depending upon the type of array used in various embodiments according to the present invention, the methods of detecting hybridization between a capture nucleotide sequence and a target nucleic acid sequence can vary. For example, target nucleotide sequences can be labeled before application to the microarray. Through hybridization of the target sequence to the capture probe of complementary sequence on the array, the label is bound to the array at a specific location, revealing its identity. Use of glass substrates for microarray design has permitted the use of fluorescent labels for tagging target sequences. Fluorescent labels are particularly useful in microarray designs that employ glass beads as a solid support for the array; these beads can be interrogated using fiber optics and the measurement of the presence and strength of a signal can be automated (Ferguson, J A et al. (1996) Nat Biotechnol 14:1681-1684, which is hereby incorporated by reference in its entirety). Labeling of target DNA with biotin and detection of the hybridized target on the array with antibodies to biotin is an alternative approach that is within the level of skill in the art (Cutler, D J), which is incorporated herein by reference in its entirety.)


The terms “polynucleotide” and “oligonucleotide” are used in some contexts interchangeably to describe single-stranded and double-stranded polymers of nucleotide monomers, including 2′-deoxyribonucleotides (DNA) and ribonucleotides (RNA). A polynucleotide can be composed entirely of deoxyribonucleotides, entirely of ribonucleotides, or chimeric mixtures thereof. Likewise polynucleotides can be composed of, for example, internucleotide, nucleobase and sugar analogs, including unnatural bases, sugars, L-DNA and modified internucleotide linkages. The capture nucleotide sequencers) of the invention fall within this scope and in preferred embodiments the term “primer(s)” is used interchangeably with capture nucleotide sequence(s). “Target nucleotide sequence” refers in preferred embodiments to a specific candidate gene, the presence or absence of which is to be detected, and that is capable of interacting with a capture nucleotide sequence.


The term “capture” generally refers to the specific association of two or more molecules, objects or substances which have affinity for each other. In specific embodiments of the present invention, “capture” refers to a nucleotide sequence that is present for its ability to associate with another nucleotide sequence, typically from a sample, in order to detect or assay for the sample nucleotide sequence.


Typically, the capture nucleotide sequence has sufficient complementarity to a target nucleotide sequence to enable it to hybridize under selected stringent hybridization conditions, and the Tm is generally about 10° to 20° C. above room temperature (e.g., in many cases about 37° C.). In general, a capture nucleotide sequence can range from about 8 to about 50 nucleotides in length, preferably about 15, 20, 25 or 30 nucleotides. As used herein, “high stringent hybridization conditions” means any conditions in which hybridization will occur when there is at least 95%, preferably about 97 to 100%, nucleotide complementarity (identity) between the nucleic acids. In some embodiments, modifications can be made in the hybridization conditions in order to provide for less complementarity, e.g., about 90%, 85%, 75%, 50%, etc.


The choice of hybridization reaction parameters to be used will be within the scope of those in their art. The parameters, such as salt concentration, buffer, pH, temperature, time of incubation, amount and type of denaturant such as formamide, etc. can be varied as desired (See, e.g., Sambrook et al. (1989) Molecular Cloning: A Laboratory Manual (2d ed.) Vols. 1-3, Cold Spring Harbor Press, New York; Hames et al (1985) Nucleic Acid Hybridization IL Press; Davis et al. (1986) Basic Methods in Molecular Biology, Elsevier Sciences Publishing, Inc., New York; each one of which is hereby incorporated by reference in its entirety.) For example, nucleic acid (e.g., linker oligonucleotides) can be added to a test region (e.g., a well of a multiwell plate—in a preferred embodiment, a 96 or 384 or greater well plate), in a volume ranging from about 0.1 to about 100 or more μl (in a preferred embodiment, about 1 to about 50 μl, most preferably about 40 μl), at a concentration ranging from about 0.01 to about 5 μM (in a preferred embodiment, about 0.1 μM), in a buffer such as, for example, 6×SSPE-T (0.9 M NaCl, 60 mM NaH2 PO4, 6 mM EDTA and 0.05% Triton X-100), and hybridized to a binding partner (e.g., a capture nucleotide sequence on the surface) for between about 10 minutes and about at least 3 hours. In a preferred embodiment, the hybridization takes place for at least about 15 minutes. The temperature for hybridization can range, for example from about 4° C. to about 37° C. In a preferred embodiment, the temperature is about room temperature.


In general, the term “solid support” can refer to any solid phase material upon which a capture nucleotide sequence can be attached or immobilized. For example, a solid support can include glass, metal, silicon, germanium, GaAs, plastic, or the like. In some embodiments, a solid support can refer to a “resin,” “solid phase,” or “support.” A solid support can be composed, for example, of organic polymers such as polystyrene, polyethylene, polypropylene, polyfluoroethylene, polyethyleneoxy, and polyacrylamide, as well as co-polymers and grafts thereof, and the like. A solid support can also be inorganic, such as glass, silica, controlled-pore-glass (CPG), reverse-phase silica, and the like. The configuration of a solid support can be in the form of beads, spheres, particles, granules, a gel, a fiber or a surface. Surfaces can be, for example, planar, substantially planar, or non-planar. Solid supports can be porous or non-porous, and can have swelling or non-swelling characteristics. A solid support can be configured in the form of a well, depression or other container, slide, plate, vessel, feature or location. In some embodiments, a plurality of solid supports can be configured in an array.


Capture nucleotide sequences can be synthesized by any suitable means. The synthesis can occur, for example, by conventional technology, e.g., with a commercial oligonucleotide synthesizer and/or by ligating together subfragments that have been so synthesized. For example, preformed capture nucleotide sequences, can be situated on or within the surface of a test region by any of a variety of conventional techniques, including photolithographic or silkscreen chemical attachment, disposition by ink jet technology, electrochemical patterning using electrode arrays, or denaturation followed by baking or UV-irradiating onto filters (see, e.g., Rava et al. (1996) U.S. Pat. No. 5,545,531; Fodor et al. (1996) U.S. Pat. No. 5,510,270; Zanzucchi et al. (1997) U.S. Pat. No. 5,643,738; Brennan (1995) U.S. Pat. No. 5,474,796; PCT WO 92/10092; PCT WO 90115070; each one of which is hereby incorporated by reference in its entirety).


Treatment of Septic Shock

In further embodiments of the invention, methods of treatment of an individual at high risk for death from septic shock are provided. For example, some embodiments of the invention provide a treatment for high risk septic shock by administration of a compound that modulates MT expression, protein production, or protein function. Such treatments can include, for example, administering molecules that downregulate MT expression, or administering molecules that downregulate the expression of other high risk septic shock-related genes. Other treatments can include, for example, administering compositions that are capable of upregulating at least one of the beneficial genes that is typically downregulated in high risk septic shock individuals.


As used herein, the term “treat” or “treatment” can refer to both therapeutic treatment and prophylactic or preventative measures, wherein the object is to prevent or reduce or reverse the progression of septic shock in an individual. In some embodiments, the treatment can prevent septic shock-induced death of the individual. The term “treat” can also refer to the characterization of the type or severity of disease which can have ramifications for future prognosis, or need for specific treatments. For purposes of this invention, beneficial or desired clinical results can include, but are not limited to, alleviation of septic shock symptoms, diminution of extent of septic shock, reduced risk of death from septic shock, stabilized (such as being characterized by not worsening) state of septic shock, delay or slowing of septic shock progression, amelioration or palliation of a septic shock-induced state, and remission (whether partial or total), whether detectable or undetectable. The term “treatment” can also encompass prolonging survival as compared to expected survival if not receiving treatment. Those in need of treatment include, for example, those already diagnosed with septic shock, as well as those prone to have septic shock, those of high risk of death due to septic shock, and those in which septic shock is to be prevented.


Zinc and MT

Many of the genes found to be downregulated in the high risk septic shock group are zinc-dependent factors. For example, many MT genes are activated by zinc-requiring transcription factors. Once zinc is available, the transcription factor can bind to the MT promoters, thus allowing MT expression. Because MT binds to Zn and other metals, the MT proteins, once produced, can bind to and even sequester zinc, often causing a zinc-starved state. This Zn starvation in an individual can lead to many types of diseases. Thus, in some embodiments of the present invention, providing zinc to a patient can allow the expression of many of these “beneficial” genes and can ameliorate other effects of Zn starvation, permitting the individual to better respond to the septic shock episode.


Accordingly, in some embodiments of the present invention, zinc supplementation or zinc replacement can be used to treat septic shock, by inducing the upregulation of several genes that are typically downregulated during severe septic shock. The zinc to be administered can take any suitable form, and can be administered, for example, orally, intravenously, by injection, or by other suitable methods. The zinc can be combined with other compounds, such as other metals, vitamins, solubilizing agents, salt forms, and the like. Intravenous administration is generally preferred. Example 11 demonstrates the use of intravenous zinc administration to treat high risk septic shock.


Accordingly, individuals with high risk septic shock have been found to have lower levels of zinc in serum samples, as shown in FIG. 5. In additional embodiments of the invention, screening individuals for zinc levels in the blood can be used to determine individuals at higher risk for death from septic shock. Thus, in some embodiments, a diagnosis can involve a simple test for free or bound zinc in a blood or tissue sample. Zinc quantitation is typically measured by atomic absorption. An example of testing a patient for serum zinc levels is shown in Example 10.


Identification of Drug Targets for Septic Shock Treatment

The high risk septic shock signature genes can also be utilized to identify septic shock drug targets. Any or all of the genes identified herein and included in the signature or on a septic shock array can be used to further identify drugs or treatments that can target a desired gene or gene product. Preferred drugs and treatments include those that can downregulate deleterious genes and/or their products such as, for example, the MT genes and MT proteins; likewise, drugs and treatments that can activate or enhance expression of protective genes and/or their products are also among preferred embodiments of the invention. Methods of identifying targets can include any method known to those of skill in the art, including, but not limited to: producing and testing small molecules, oligonucleotides (including antisense, RNAi, molecular decoy methods, and triplex formers), antibodies, and drugs that target any of the genes or gene products identified herein. Gene therapy approaches can also be used to down-regulate, up-regulate, or express proteins or gene products identified herein.


Administration of a Vector Having an Antisense MT Sequence

In additional embodiments of the invention, an antisense MT nucleic acid is provided that can be delivered to a host cell via any suitable method, such as injection into a tissue, electroporation to an in vitro cell culture, or other methods. This approach can be used, for example, to develop in vitro or animal models of molecular, cellular, or physiological events associated with high risk septic shock. Example 12 demonstrates the use of this method to treat septic shock. Nucleic acids can be delivered, for example, as naked DNA or within vectors, the vectors including, but not limited to viral, plasmid, cosmid, liposome, and microparticles. The individual or host cell can then be tested to determine if the antisense MT sequence causes downregulation of one or more MT genes, and if the severity of septic shock decreases over time. A similar method can be used for other septic shock upregulated genes.


EXAMPLES

The following examples are offered to illustrate, but not to limit, the claimed invention.


Example 1
Database of Septic Shock Pediatric Patients

To determine whether molecular differences can predict those patients that survived septic shock conditions versus those that would succumb, a database of normal and critically ill pediatric patients was assembled and examined. The database contained 60 different samples from 13 normal individuals and 32 critically ill patients, 15 of whom contributed two samples. A first sample was taken on the first day of admission to the critical care or intensive care unit. A second sample was taken on the third day of the patient's stay. The databases included data relating to blood counts, infecting organisms, patient survival, and other diagnostic factors. Details of the condition of each patient are shown below in Table 5.









TABLE 5A







Patient and Clinical Information



















Sample



Total




Patient


Collection
Sample


WBC


ID
Diagnosis
survival
Day
Number
steroid
PRISM
(X100)
% Segs
% Bands



















01_0013
SepticShock
nonsurvivor
1
0

n/a
n/a
n/a
n/a


11_0017
SepticShock
nonsurvivor
1
36
+
n/a
7.2
30
19


11_0017
SepticShock
nonsurvivor
3
37
+
n/a
3.4
n/a
n/a


26_260611
SepticShock
nonsurvivor
1
54
+
59
1
10
12


04_0005
SepticShock
nonsurvivor
1
4
+
20
19.4
86.4
0


10_0017
SepticShock
nonsurvivor
1
23

9
11.1
82
3


10_0017
SepticShock
nonsurvivor
3
24

9
18.1
76
16


06_0003
SepticShock
survivor
1
12

n/a
n/a
n/a
n/a


06_0003
SepticShock
survivor
3
13

n/a
n/a
n/a
n/a


01_0022
SepticShock
survivor
3
50

n/a
7.1
22
33


10_0012
SepticShock
survivor
1
19

25
15.3
48
23


09_0001
SepticShock
survivor
1
16

22
4.5
61
0


10_0001
SepticShock
survivor
1
18

22
26
72
5


05_0007
SepticShock
survivor
1
58
+
22
3.1
69
12


05_0007
SepticShock
survivor
3
59
+
22
22.6
82
8


01_0014
SepticShock
survivor
1
1

20
13.4
41
5


06_0001
SepticShock
survivor
1
9
+
18
7
71
20


04_0002
SepticShock
survivor
3
3
+
16
13.6
n/a
n/a


27_70603
SepticShock
survivor
1
55

15
18.4
n/a
n/a


05_0006
SepticShock
survivor
1
7
+
12
9
54
2


12_0001
SepticShock
survivor
1
60

6
44.1
51
36


01_0021
SepticShock
survivor
1
2

5
28.5
76
0


06_0002
SIRS
survivor
1
11

n/a
n/a
n/a
n/a


11_0004
SIRS
survivor
1
25

n/a
13.4
n/a
n/a


11_0015
SIRS
survivor
1
32

n/a
12.3
n/a
n/a


11_0015
SIRS
survivor
3
33

n/a
8.4
n/a
n/a


11_0016
SIRS
survivor
1
34

n/a
n/a
n/a
n/a


11_0021
SIRS
survivor
1
41

n/a
n/a
n/a
n/a


11_0006
SIRS
survivor
1
44
+
n/a
19.2
79
0


25_70603
SIRS
survivor
3
53

n/a
n/a
n/a
n/a


10_0002
SIRS
survivor
1
56

28
7.4
53
3


10_0002
SIRS
survivor
3
57

28
3.9
33.2
0


10_0012
SIRS
survivor
3
20

25
10.1
64
19


09_0001
SIRS
survivor
3
17

22
7.2
63
17


10_0013
SIRS
survivor
3
21

11
8.7
82
7


04_0004
SIRS
survivor
1
51
+
11
22.8
76
0


04_0004
SIRS
survivor
3
52
+
11
11.8
n/a
n/a


10_0015
SIRS
survivor
1
22

6
9.2
92
0


07_0005
SIRS
survivor
1
14

4
15.2
52
11


07_0005
SIRS
survivor
3
15

4
13.3
67
0


05_0002
SIRS
survivor
1
5
+
2
13.2
91
0


11_0016
SIRS_resolved
survivor
3
35

n/a
10.1
n/a
n/a


11_0021
SIRS_resolved
survivor
3
42

n/a
n/a
n/a
n/a


11_0006
SIRS_resolved
survivor
3
45
+
n/a
18.5
35
35


10_0001
SIRS_resolved
survivor
3
43

22
26
72
5


06_0001
SIRS_resolved
survivor
3
10
+
18
11.1
68
11


05_0006
SIRS_resolved
survivor
3
8
+
12
9.3
76
0


11_0008
Control
survivor
1
26
ctl
n/a
n/a
n/a
n/a


11_0009
Control
survivor
1
27
ctl
n/a
n/a
n/a
n/a


11_0011
Control
survivor
1
28
ctl
n/a
n/a
n/a
n/a


11_0012
Control
survivor
1
29
ctl
n/a
n/a
n/a
n/a


11_0013
Control
survivor
1
30
ctl
n/a
n/a
n/a
n/a


11_0014
Control
survivor
1
31
ctl
n/a
n/a
n/a
n/a


11_0018
Control
survivor
1
38
ctl
n/a
n/a
n/a
n/a


11_0019
Control
survivor
1
39
ctl
n/a
n/a
n/a
n/a


11_0020
Control
survivor
1
40
ctl
n/a
n/a
n/a
n/a


15_0001
Control
survivor
1
46
ctl
n/a
n/a
n/a
n/a


15_0002
Control
survivor
1
47
ctl
n/a
n/a
n/a
n/a


15_0003
Control
survivor
1
48
ctl
n/a
n/a
n/a
n/a


15_0005
Control
survivor
1
49
ctl
n/a
n/a
n/a
n/a
















TABLE 5B







Patient and Clinical Information














Patient

%



Organism
Infect.


ID
% Lymphocytes
Monocytes
Sample #
Steroid
Organism
Class
Site

















01_0013
n/a
n/a
0

none
none
none


11_0017
45
6
36
+
none
none
none


11_0017
n/a
n/a
37
+
none
none
none


26_260611
70
0
54
+

N. meningitidis

gram neg
Blood


04_0005
10.1
3
4
+
Group A Strep
gram pos
Blood


10_0017
11
2
23


Staph Epi

gram pos
wound infect w









blood


10_0017
5
1
24


Staph Epi

gram pos
wound infect w









blood


06_0003
n/a
n/a
12

none
none
none


06_0003
n/a
n/a
13

none
none
none


01_0022
29
12
50

none
none
none


10_0012
10
10
19


E coli

gram neg
Blood


09_0001
25
14
16

none
none
none


10_0001
15
8
18

mult gram neg
gram neg
Blood


05_0007
16
3
58
+
Group A Strep
gram pos
Blood


05_0007
5
0
59
+
Group A Strep
gram pos
Blood


01_0014
40
10
1


Candida albicans

fungal
Lung


06_0001
4
5
9
+
mult gram neg
gram neg
Blood


04_0002
n/a
n/a
3
+

E. coli (HUS)

gram neg
Blood


27_70603
n/a
n/a
55

none
none
none


05_0006
33
11
7
+
none
none
none


12_0001
7
6
60


Strep Pneum

gram pos
Blood


01_0021
16
8
2

none
none
none


06_0002
n/a
n/a
11

none
none
none


11_0004
n/a
n/a
25

none
none
none


11_0015
n/a
n/a
32

none
none
none


11_0015
n/a
n/a
33

none
none
none


11_0016
n/a
n/a
34

none
none
none


11_0021
n/a
n/a
41

none
none
none


11_0006
11
10
44
+
none
none
none


25_70603
n/a
n/a
53

none
none
none


10_0002
30
14
56

none
none
none


10_0002
51
15.4
57

none
none
none


10_0012
5
12
20


E coli

gram neg
Blood


09_0001
13
4
17

none
none
none


10_0013
4
4
21

none
none
none


04_0004
11
13
51
+
none
none
none


04_0004
n/a
n/a
52
+
none
none
none


10_0015
7
0
22

none
none
none


07_0005
25
10
14

none
none
none


07_0005
26
5
15

none
none
none


05_0002
6
3
5
+
none
none
none


11_0016
n/a
n/a
35

none
none
none


11_0021
n/a
n/a
42

none
none
none


11_0006
11
14
45
+
none
none
none


10_0001
15
8
43

none
none
none


06_0001
13
8
10
+
mult gram neg
gram neg
Blood


05_0006
18
6
8
+
none
none
none


11_0008
n/a
n/a
26
ctl
none
none
none


11_0009
n/a
n/a
27
ctl
none
none
none


11_0011
n/a
n/a
28
ctl
none
none
none


11_0012
n/a
n/a
29
ctl
none
none
none


11_0013
n/a
n/a
30
ctl
none
none
none


11_0014
n/a
n/a
31
ctl
none
none
none


11_0018
n/a
n/a
38
ctl
none
none
none


11_0019
n/a
n/a
39
ctl
none
none
none


11_0020
n/a
n/a
40
ctl
none
none
none


15_0001
n/a
n/a
46
ctl
none
none
none


15_0002
n/a
n/a
47
ctl
none
none
none


15_0003
n/a
n/a
48
ctl
none
none
none


15_0005
n/a
n/a
49
ctl
none
none
none









Example 2
Preparation of Samples for Microrarray Analysis

Patient blood samples taken from the individuals described in Example 1 were used to measure gene expression using the following microarray diagnostic procedure. Whole blood was collected into PaxGene blood RNA system preparation tubes and RNA was prepared according to manufacturer's directions (Qiagen Inc., Valencia, Calif.). The purified RNA quality was validated using an Agilent 2100 Bioanalyzer (Agilent, Palo Alto, Calif.). Labeling was performed using standard protocols from Affymetrix. The labeled material was hybridized to an Affymetrix GeneChip 133plus2 (Affymetrix, Santa Clara, Calif.). The results of the GeneChip read-out were analyzed and subjected to data analysis procedures.


Example 3
Additional Analysis of Septic Shock Patients

Additional analyses of septic shock patient samples can be performed, if desired, in addition to the microarray analysis procedure. Examples include blood cultures, complete blood count, invading organism determination, serum zinc levels, and cellular MT levels. Additional assays can be performed, for example, to determine the degree of organ failure, or the presence of other diseases in the patient. The additional assays can also be performed to confirm the septic shock diagnosis and to provide other information on the patient health status. Additional materials that can be characterized for this predictive diagnostic procedure include DNA isolated from whole blood, serum and plasma isolated from whole blood, other non-blood tissue samples, saliva, urine, and respiratory exhalation.


Example 4
Microarray Analysis Method for Determination of Expression Profiles

The initial microarray data (Affymetrix CEL files) was subjected to an RMA normalization procedure. This procedure decreases processing related variation in expression to normalize each chip to its median value, then to each probe set to differences that occur across all chips in the group. Each measurement was divided by the 50.0th percentile of all measurements in that sample. Specific samples were normalized to one another: sample(s) 1-60 were normalized against the median of the control sample(s). Each measurement for each gene in those specific samples was divided by the median of that gene's measurements in the corresponding control samples. Gene expression values were thus depicted relative to the level of expression in the control sample.


Example 5
Results of Microarray Analysis of Septic Shock Patients

In order to evaluate the relative statistical strength of various genes to predict those children at risk for death, statistical tests were performed. Genes were identified that were overexpressed or underexpressed in the nonsurviving children as compared to children that did survive. The comparison group of nonsurvivors can be chosen from either all children with a similar presenting condition, or from similar plus dissimilar presenting illness children that do not die. In this case a pool of genes was derived from two procedures as described below. The two procedures are identical, except that different statistical tests were performed. The gene lists generated by each of these tests were then pooled to generate the final list of 400 genes.


Procedure 1:

Several key genes were identified from among all genes with statistically significant differences between the following groups based on values of ‘survival’ and ‘SepsSirsDx’: survivor, SepSir, versus nonsurvivor, SepSir using a parametric test with variances assumed equal (Student's t-test). The p-value cutoff was 0.05, and multiple testing correction used the Benjamini and Hochberg False Discovery Rate. This restriction tested 54,681 genes; 6 genes had insufficient data for a comparison. About 5.0% of the identified genes would be expected to pass the restriction by chance. This led to the detection of 133 genes, of which 9 of the 30 genes with the lowest p-value are metallothionein genes.


Procedure 2:

Key genes were identified from among all genes with statistically significant differences between the following groups based on values of ‘survival’ and ‘SepsSirsDx’: survivor, SepSir, versus nonsurvivor, SepSir using a parametric test with variances not assumed to be equal (Welch t-test). The p-value cutoff was 0.05, and multiple testing correction used the Benjamini and Hochberg False Discovery Rate. This restriction tested 54,681 genes; 6 genes had insufficient data for a comparison. About 5.0% of the identified genes would be expected to pass the restriction by chance. This led to the detection of 278 genes, of which the majority were overexpressed in the children that did not die, and were underexpressed in children that did die.


The combination of the two above-described gene lists led to a list of 400 genes (only 11 genes in common). The relative power of the two lists to strongly separate the patients that die from those that did not die was unexpectedly high.


Two methods enabled the ability to use this pool of 400 genes to distinguish, and thus to form a prediction of the children that would die from those that would survive. The first method was a hierarchical clustering method that used Euclidean distance and the Standard correlation as the distance metrics to arrange genes and patients in groups or clusters in which patients are essentially categorized and genes are categorized that shared similar expression across the group of all patients. Two principle patterns were evident in this analysis: genes that were overexpressed in the children that would die and those that were induced in children that would not die, but are not as induced in the children that would die. This model suggests an advantage for children to induce those “protective” genes and that experimental therapies that decreased the induction or effects of the protective genes would fail to have a positive impact. Conversely, the effects of genes that are induced in the most significant fashion in the patients that die can be harmful and therapies that diminish the extent of the induction or the effects of this induction can be helpful.


The 400 genes found to be predictors of non-survival is shown in FIG. 1. Tables 1-3 list selected genes that are either upregulated or repressed/downregulated in the non-survivors. FIG. 4 shows the gene expression signature of six of the metallothionein family members that were activated during septic shock in the non-survivors.


Example 6
Preparation of a Metallothionein Protein Assay

The following method can be used to prepare an assay for the presence and quantitation of metallothionein in a patient sample. A metallothionein protein of interest is isolated and purified. The isolated protein is injected into rabbits to produce polyclonal antibodies using methods well known by those of skill in the art. The antibodies are collected, purified, and tested. The antibodies are used to prepare an assay to determine the presence of metallothionein in a blood sample. The sample is prepared by collecting blood from the patient, separating the cells from the serum, and lysing the cells. The assay is used to determine, qualitatively or quantitatively, the presence or absence of the metallothionein protein. Positive and negative controls are used to confirm the accuracy of the test method.


Example 7
Metallothionein as a Biomarker for High-Risk Septic Shock

A blood sample is taken from a one year old hospitalized child exhibiting symptoms of septic shock. The blood sample is assayed for the presence of the metallothionein protein. Within two hours, the test results are available, showing that the individual tests positive for the high risk metallothionein marker protein. Using this information, the pediatrician immediately puts in place emergency life-saving procedures such as for example, zinc treatment and/or cardiopulmonary bypass, in addition to the usual septic shock treatment procedures.


Example 8
High Risk Septic Shock Markers are Used to Confirm the Diagnosis of High-Risk Septic Shock in a Pediatric Patient

A blood sample is taken from the one year old hospitalized child discussed in Example 7. To confirm the metallothionein marker test of high risk probability, a microarray assay is performed. A commercially prepared gene chip having a set of 25 high risk septic shock upregulated genes, and a set of 20 high risk septic shock down-regulated genes, is obtained. mRNA is isolated from the blood sample using methods well known in the art, and the sample is tested for the presence of the indicated genes. Using this method, the individual described in Example 7 above is confirmed as having a high risk of death from septic shock. With this knowledge, treatment of high risk septic shock by extracorporeal membrane oxygenation and plasmapheresis is initiated. Additional therapies directed toward shutting down MT genes and replacing zinc are administered. By use of the fast diagnosis and treatment program, the patient survives.


Example 9
Test Strip Kit for Early and Fast Detection of Septic Shock in a Clinical Environment

A commercial test kit for septic shock is prepared, using antibodies to the human metallothionein protein. The antibodies are used to prepare a commercial dipstick assay kit for determining the presence of a metallothionein family protein in a blood sample of a patient, using assay preparation methods well known by those of skill in the art. The assay also includes positive and negative controls. Using this assay, the practitioner can quickly determine whether an individual is at high risk for death due to septic shock.


Example 10
Measurement of Serum Zinc Levels in Survivors vs. Non-Survivors

To determine the relationship between zinc levels and survivorship, levels of zinc in the patient serum samples was determined. The non-survivors had about 500 μg/liter of zinc, which was less than half of the serum zinc level (about 1.1 mg/liter) found to be present in the septic shock survivor group (FIG. 5). This result demonstrates that zinc levels may be low in the non-surviving group of septic shock individuals.


Example 11
Administration of an Intravenous Zinc Formulation to Treat High Risk Septic Shock

A severely ill patient with a high risk of developing septic shock due to illness complications is identified. The patient is administered a daily mineral supplement containing zinc in an intravenous form. By use of this method, the patient's health improves, and the likelihood that the patient will develop high risk septic shock is reduced.


Example 12
Treatment of High Risk Septic Shock with Nucleic Acids that Downregulate MT Expression

An individual with septic shock tests positive for several septic shock high risk markers. The individual is treated by intravenous injection with a vector having an MT antisense nucleic acid. Using this method, MT protein level decreases within approximately eight hours, and the patient's health improves.


All references cited herein, including patents, patent applications, papers, text books, and the like, and the references cited therein, to the extent that they are not already, are hereby incorporated herein by reference in their entirety.


The foregoing description and examples detail certain preferred embodiments of the invention and describes the best mode contemplated by the inventors. It will be appreciated, however, that no matter how detailed the foregoing may appear in text, the invention may be practiced in many ways and the invention should be construed in accordance with the appended claims and any equivalents thereof.

Claims
  • 1. An assay to determine the potential of high risk septic shock in an individual, comprising: obtaining a biological sample from the individual; anddetermining a level of expression of at least one septic shock signature gene;where an increased level of expression of the at least one septic shock signature gene indicates an elevated risk of death from septic shock.
  • 2. The assay of claim 1, wherein said signature gene encodes a protein chosen from the group consisting of: a metallothionein protein, Metallothionein 1E, Metallothionein 1F, Metallothionein 1G, Metallothionein 1H, Metallothionein 1K, Metallothionein 1X, Granzyme B (cytotoxic serine protease), Dual specific phosphatase 2 (inactivation of MAPK), Regulator of G-protein signaling 1, v-Jun & Jun dimerization protein, Chemokine ligand 2 (MCP-1), Chemokine ligand 3 (MIP-1α), Chemokine (C—C motif) receptor-like 2, cAMP responsive element modulator, Complement factor H, SOCS1, Interferon-γ, and Interferon regulatory factor 7.
  • 3. The assay of claims 1 or 2, wherein said individual is a mammal.
  • 4. The assay of claim 3, wherein said mammal is a human.
  • 5. The assay of claim 4, wherein said human is selected from the group consisting of: an elderly person, an adult, a child, an infant, a newborn, and an unborn child.
  • 6. The assay of claims 1 or 2, wherein said sample is selected from the group consisting of: a blood sample, a tissue sample, an amniotic fluid sample, a urine sample, and a bronchoalveolar lavage sample.
  • 7. A test kit for the early identification of high risk septic shock, comprising two or more nucleic acid sequences adapted for indicating presence of absence of at least one septic shock signature gene in a biological sample.
  • 8. The test kit of claim 7, wherein said kit comprises a probe that determines the presence of metallothionein mRNA or protein in a sample.
  • 9. The test kit of claim 8, further comprising at least one component selected from the group consisting of: an instruction sheet, a sample collection device, a sample preparation device, positive controls, and negative controls.
  • 10. A method of treating an individual having septic shock, comprising administering a metallothionein-reducing agent.
  • 11. A method of treating an individual having septic shock, comprising administering an agent that downregulates at least one gene listed in tables 2 and 3.
  • 12. A method of treating septic shock in an individual, comprising administering an agent that upregulates at least one of the genes listed in table 4.
  • 13. A method of treating septic shock in an individual, comprising administering zinc.
  • 14. The method of claim 13, wherein said zinc is in at least one form selected from the group consisting of: zinc sulfate, zinc gluconate, and zinc chloride.
  • 15. The method of claim 13, wherein said zinc is administered intravenously.
  • 16. A method of identifying an individual at high risk of death from septic shock, comprising: identifying an individual that may have septic shock;obtaining a blood or other bodily sample from said individual;testing said sample for at least one of septic shock signature genes; anddetermining an altered signature gene profile as compared to control samples, thereby determining that an elevated risk of death from septic shock exists in said individual.
  • 17. The method of claim 16, wherein at least 5 septic shock signature genes are tested.
  • 18. The method of claims 16 or 17, wherein said control samples are obtained from individuals with septic shock who were able to survive the episode.
  • 19. The method of claims 16, 17 or 18, wherein said testing is performed by microarray analysis or a dipstick assay.
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/US06/14800 4/19/2006 WO 00 7/21/2008
Provisional Applications (1)
Number Date Country
60673656 Apr 2005 US