USE OF GENE INVOLVED IN PASSAGE THROUGH BRAIN-BLOOD BARRIER AND SURVIVAL INSIDE BRAIN OF CAUSATIVE FUNGI OF MENINGOENCEPHALITIS

Information

  • Patent Application
  • 20230296613
  • Publication Number
    20230296613
  • Date Filed
    September 18, 2020
    4 years ago
  • Date Published
    September 21, 2023
    a year ago
Abstract
The present invention relates to: a method for screening an antifungal agent, the method measuring the amount or activity of proteins involved in passage through the brain-blood barrier; a biomarker composition for diagnosing meningoencephalitis or cryptococcosis; a diagnostic kit including said composition; and a therapeutic pharmaceutical composition including an inhibitor for the protein.
Description
STATEMENT REGARDING SEQUENCE LISTING

The present application contains a Sequence Listing which has been submitted in ASCII format and is hereby incorporated by reference in its entirety. Said ASCII copy, created on Apr. 15, 2023, is named “AMT-U30002-ST25.txt” and is 15,662 bytes in size.


TECHNICAL FIELD

The present invention relates to a method for screening an antifungal agent, in which the method includes measuring the amount or activity of proteins involved in passage through the brain-blood barrier (hereinafter referred to as BBB). In addition, the present invention relates to a biomarker composition for diagnosing meningoencephalitis or cryptococcosis, a diagnostic kit including the composition, and a therapeutic pharmaceutical composition including an inhibitor for the protein.


RELATED ART


Cryptococcus neoformans is a fungal pathogen that is distributed in a variety of natural environments, including soil, wood, and algal feces, has a variety of sources of infection, and uses a variety of hosts from lower eukaryotes to aquatic and terrestrial animals. Cryptococcus neoformans is the leading cause of death due to fungal meningoencephalitis, which is known to cause approximately one million new infections and approximately 600,000 deaths worldwide each year. However, only limited treatments are being used to treat meningoencephalitis or cryptococcosis.


In the meantime, in order to understand the pathogenic mechanisms of Cryptococcus neoformans, extensive research has been conducted over the past decades. In addition to efforts to analyze the function of individual genes/proteins, many additional pathogenic-associated signaling elements have recently been discovered through systematic analysis of large-scale gene deletion mutant libraries. In the pathogenic mechanism of Cryptococcus neoformans, passage and proliferation of the BBB is one of the important factors in which Cryptococcus neoformans causes lethal damage to mammalian brain tissue.


Nevertheless, factors known to regulate BBB passage and brain infection in Cryptococcus neoformans and the complex signaling pathways controlling the same have not yet been elucidated. Accordingly, in relation to the BBB passage of Cryptococcus neoformans and regulation of brain infection, it is necessary to fully understand the network of signals and metabolism controlling the pathogenicity of Cryptococcus neoformans, and to develop new antifungal targets and drugs.


SUMMARY
Technical Problem

An aspect of the present invention is directed to providing a method for screening an antifungal agent.


Another aspect of the present invention is directed to providing a method for screening an antifungal agent for co-administration.


Yet another aspect of the present invention is directed to providing a biomarker composition for diagnosing meningoencephalitis or cryptococcosis.


Yet another aspect of the present invention is directed to providing a kit for diagnosing meningoencephalitis or cryptococcosis.


Yet another aspect of the present invention is directed to providing a pharmaceutical composition for treating meningoencephalitis or cryptococcosis.


Technical Solution

An embodiment of the present invention provides a method for screening an antifungal agent, in which the method includes: (a) contacting a sample to be analyzed with Cryptococcus neoformans cells containing an antifungal agent target protein; (b) measuring an amount or activity of the target protein; and (c) discriminating that the sample is an antifungal agent when it is measured that the amount or activity of the antifungal agent target protein is down-regulated in the prior stage, in which the target protein is a protein involved in passage through the BBB. In a related example, the antifungal agent may be an antifungal agent for treating, preventing, or treating and preventing meningoencephalitis or cryptococcosis. In another related embodiment, stages (a) and (b) may be preferably performed at 30° C. to 40° C. In another related example, the protein involved in passage through the BBB may be any one or more proteins selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Ga183, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1. In yet another related example, any one protein selected from the group consisting of Cex1, Alk1, Pbs2, Pkh201, Met3, Hsl101, Snf1, Vrk1, Ga183, Irk2, Hap2, Sre1, Fzc1, Pdr802, Fzc9, and Hob1 among the proteins involved in passage through the BBB is a protein involved in the BBB adhesion; and any one protein selected from the group consisting of Alk1, Pkh201, Met3, Hsl101, Snf1, Ga183, Urk1, Irk2, Vrk1, Ada2, Hap2, Sre1, Pdr802, and Hob1 among the proteins involved in passage through the BBB is a protein involved in survival inside the brain.


Yet another example of the present invention provides a method for screening an antifungal agent for co-administration, in which the method includes: (a) a first measurement stage of contacting an antifungal agent with Cryptococcus neoformans cells containing an antifungal agent target protein, and measuring an amount or activity of the protein; (b) a second measurement stage of contacting a sample to be analyzed and the antifungal agent with Cryptococcus neoformans cells containing an antifungal agent target protein, and measuring an amount or activity of the protein; and (c) comparing measured values of the first and second measurement stages, and when the measured value of the second measurement stage is down-regulated from the measured value of the first measurement stage, discriminating that the sample is an antifungal agent for co-administration. In a related example, the antifungal agent in stage (a) may be, for example, one or more antifungal agents selected from the group consisting of fluconazole, itraconazole, voriconazole, and ketoconazole. In another related example, the non-azole-based antifungal agent may be, for example, amphotericin B or fludioxonil. In another related example, the protein involved in passage through the BBB may be any one protein selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1. In yet another related example, any one protein selected from the group consisting of Cex1, Alk1, Pbs2, Pkh201, Met3, Hsl101, Snf1, Vrk1, Gal83, Irk2, Hap2, Sre1, Fzc1, Pdr802, Fzc9, and Hob1 among the proteins involved in passage through the BBB is a protein involved in the BBB adhesion; and any one protein selected from the group consisting of Alk1, Pkh201, Met3, Hsl101, Snf1, Gal83, Urk1, Irk2, Vrk1, Ada2, Hap2, Sre1, Pdr802, and Hob1 among the proteins involved in passage through the BBB is a protein involved in survival inside the brain. In another example within the scope of this embodiment, the antifungal agent for co-administration may be for preventing, treating or preventing and treating meningoencephalitis or cryptococcosis.


Yet another example of the present invention provides a biomarker composition for diagnosing meningoencephalitis or cryptococcosis, in which the composition includes any one or more proteins involved in passage through the brain-blood barrier selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1. One related example of the present invention provides a biomarker composition for diagnosing meningoencephalitis or cryptococcosis, in which when an amount or activity of any one or more proteins among the proteins involved in passage through the brain-blood barrier is down-regulated, it is diagnosed with meningoencephalitis or cryptococcosis. Another related example of the present invention provides a kit for diagnosing meningoencephalitis or cryptococcosis, in which the kit includes a biomarker composition for diagnosing meningoencephalitis or cryptococcosis.


Yet another example of the present invention provides an antifungal pharmaceutical composition including an inhibitor for one or more proteins involved in passage through the BBB selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1 of Cryptococcus neoformans. In a related example, the inhibitor may be any one or more of an antibody, a dominant-negative mutation, and a ribozyme against the protein involved in passage through the BBB, In another related example, the inhibitor may be an antisense oligonucleotide, siRNA, shRNA, miRNA, or a vector containing the same for a gene encoding the protein involved in passage through the BBB. One related example of the present invention includes the pharmaceutical composition and provides a pharmaceutical composition for treating, preventing, or treating and preventing meningoencephalitis or cryptococcosis.


Yet another example of the present invention provides a method for screening a fungal BBB passage inhibitor, in which the method includes: (a) contacting a sample to be analyzed with Cryptococcus neoformans cells containing any one or more proteins selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1; (b) measuring an amount or activity of the protein and/or a gene encoding the protein; and (c) discriminating that the sample is a fungal BBB passage inhibitor when it is measured that the amount or activity of the protein and/or the gene is down-regulated in stage (b). In a related example, stages (a) and (b) may be performed at 30° C. to 40° C. Yet another related embodiment of the present invention provides an antifungal composition including an inhibitor screened according to the method, in which the inhibitor may be any one or more of an antibody, a dominant-negative mutation, and a ribozyme against the protein involved in passage through the BBB. In addition, the inhibitor may be an antisense oligonucleotide, siRNA, shRNA, miRNA, or a vector containing the same for a gene encoding the protein involved in passage through the BBB. Yet another related example of the present invention provides an antifungal pharmaceutical composition for treating, preventing, or treating and preventing meningoencephalitis or cryptococcosis, in which the antifungal composition is included as a pharmacologically active ingredient. Yet another related example of the present invention provides a cosmetic composition including the antifungal composition.


Yet another example of the present invention provides a method for screening a bacterial or fungal brain-blood barrier passage inhibitor, in which the method includes: treating a sample to be analyzed with any one or more proteins involved in passage through a brain-blood barrier selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1 or a gene encoding the protein; and analyzing an amount or activity of any one or more of the proteins or analyzing an amount or activity of any one or more of the genes. Another related example of the present invention provides an antifungal composition including an inhibitor screened according to the method. In this connection, the inhibitor may be any one or more of an antibody, a dominant-negative mutation, and a ribozyme against the protein involved in passage through the BBB. In addition, the inhibitor may be an antisense oligonucleotide, siRNA, shRNA, miRNA, or a vector containing the same for a gene encoding the protein involved in passage through the BBB. Yet another related example of the present invention provides a pharmaceutical composition for preventing, treating, or preventing and treating meningoencephalitis or cryptococcosis, in which the antifungal composition is included as a pharmacologically active ingredient. Yet another related example of the present invention provides a cosmetic composition including the antifungal composition.


Advantageous Effects

The protein of the present invention involved in passage through the brain-blood barrier can be utilized as a new target for alleviation and treatment of meningoencephalitis or cryptococcosis caused by Cryptococcus neoformans infection, and can be effectively utilized for screening antifungal agents or drugs capable of inhibiting the protein. It should be understood that the effects of the present invention are not particularly limited to those described above, and the present invention includes all effects that can be deduced from the detailed description of the invention or the configurations of the invention described in the claims.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 shows a schematic diagram for comparison of lung and brain-STM analysis.



FIG. 2 shows lung-STM scores using mice inhaled nasally and brain-STM scores using mice injected intravenously.



FIG. 3 shows a schematic diagram for NanoString analysis.



FIGS. 4A and 4B show a fold-change heatmap of gene expression of virulence-related genes, lung-virulence genes, brain-virulence genes and core virulence genes.



FIG. 5 shows the analysis results of passage through in vitro BBB using a transwell.



FIG. 6 shows the analysis results of whether the protein involved in passage through the brain-blood barrier adheres to endothelial cells and passes through the brain-blood barrier.



FIG. 7 shows NanoString clustering of proteins involved in passage through the brain-blood barrier.



FIG. 8 shows a schematic diagram in relation to ICV (intracerebroventricular) administration.



FIG. 9 shows the analysis results of proteins related to survival in the brain through ICV-STM scores.



FIG. 10 shows a schematic diagram illustrating a brain infection-related signaling network.





DETAILED DESCRIPTION

An aspect of the present invention relates to a method for screening an antifungal agent, in which the method includes: (a) contacting a sample to be analyzed with Cryptococcus neoformans cells containing an antifungal agent target protein; (b) measuring an amount or activity of the target protein; and (c) discriminating that the sample is an antifungal agent when it is measured that the amount or activity of the antifungal agent target protein is down-regulated in the prior stage, in which the target protein is a protein involved in passage through the BBB.


As used herein, the term “antifungal agent” is meant to include inorganic antifungal agents, organic natural extract-based antifungal agents, organic aliphatic compound-based antifungal agents, and organic aromatic compound-based antifungal agents, which serve to inhibit the propagation of eumycetes (fungi, yeast, and mushrooms). Examples of the inorganic antifungal agents include, but are not limited to, chlorine compounds (especially sodium hypochlorite), peroxides (especially hydrogen peroxide), boric acid compounds (especially boric acid and sodium borate), copper compounds (especially copper sulfate), zinc compounds (especially zinc sulfate and zinc chloride), sulfur-based compounds (especially sulfur, calcium polysulfate, and hydrated sulfur), calcium compounds (especially calcium oxide), silver compounds (especially thiosulfite silver complexes, and silver nitrate), in addition, iodine, sodium silicon fluoride, and the like. Examples of the organic natural extract-based antifungal agents include, but are not limited to, hinokitiol, Phyllostachys pubescens extracts, creosote oil, and the like.


The antifungal agent may be for treating or preventing meningoencephalitis or cryptococcosis, but is not limited thereto.


As used herein, the term “meningoencephalitis” refers to a disease including meningitis and/or encephalitis, which refers to an inflammatory disease of the brain parenchyma that occurs between the thin membrane surrounding the tissue and the brain or in the brain tissue.


The meningitis includes fungal meningoencephalitis, viral meningoencephalitis, tuberculous meningoencephalitis, and the like. In the case of fungal meningoencephalitis, it is infected through the respiratory tract and invades the central nervous system. Since eumycetes and mammals have evolutionarily similar cellular structures, it is difficult to discover targets for eumycetes only. Hence, fungal meningoencephalitis is one of the diseases that make it difficult to develop effective antifungal agents.


Based on cause, the encephalitis may be classified into infectious, vasculitis, neoplastic, chemical, idiopathic, etc., and may be classified into infectious encephalitis, tuberculous encephalitis, etc. with respect to the etiology. Encephalitis is one of the diseases with a high mortality rate of 70% to 80% if not treated according to early diagnosis.


“Cryptococcosis” of the present invention is an infectious disease caused by a yeast-type fungus called Cryptococcus neoformans. It mainly occurs in people with weakened immunity, and lung infections with respiratory symptoms may occur or the infection may spread to the central nervous system, leading to central nervous system infections such as meningitis or cryptococcosis.


As used herein, the team “sample” refers to an unknown candidate substance that is used in screening to examine whether it influences the expression level of a gene or the amount or activity of a protein. Examples of the sample include, but are not limited to, nucleic acids, peptides, polypeptides, chemical substances, and natural extracts.


In the present invention, the change in the amount or activity of a protein may be measured using two-dimensional electrophoresis, a biochip or an antibody that specifically binds to the protein. The biochip includes a protein chip, a nucleic acid array, or the like. In addition, the measurement method using the antibody that specifically binds to the protein may include a method selected from the group consisting of western blot, ELISA (enzyme-Linked Immunosorbent assay), colorimetric method, electrochemical method, fluorimetric method, luminometry, particle counting method, visual assessment and scintillation counting method, but is not limited thereto. It may be performed through a variety of known analytical methods.


As used herein, the term “brain-blood barrier (BBB)” refers to a barrier that separates cerebrospinal fluid from blood. Endothelial cells of brain capillaries form a tight junction to obstruct the movement of solutes between cells, thereby blocking the passage of polymers and hydrophilic substances.


As used herein, the term “protein involved in passage through the brain-blood barrier (BBB)” refers to all proteins such as kinases and transcription factors directly or indirectly involved in the passage of fungi such as eumycetes and/or bacteria through the brain-blood barrier.


In the present invention, a protein involved in passage and proliferation through the brain-blood barrier, which has not been revealed so far, among a series of infections caused by Cryptococcus neoformans, which causes meningoencephalitis, was investigated. In this regard, the present inventors identified a total of 23 proteins, including 14 kinases Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, and Irk2, and nine transcription factors Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1, involved in adhesion and passage through the brain-blood barrier, and intended to provide a method for screening an antifungal agent using these proteins involved in passage through meninges.


Specifically, the protein involved in passage through the brain-blood barrier may be any one protein selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1.


In one example of the present invention, as a result of identifying whether the brain-infection-related mutant transcription factors and kinases migrate through the brain-blood barrier through the in vitro BBB system, it was identified that 14 kinases Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, and Irk2, and nine transcription factors Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1 were proteins required for passage through the brain-blood barrier (FIG. 5).


Specifically, any one protein selected from the group consisting of Cex1, Alk1, Pbs2, Pkh201, Met3, Hsl101, Snf1, Vrk1, Gal83, Irk2, Hap2, Sre1, Fzc1, Pdr802, Fzc9 and Hob1 among the proteins involved in passage through the brain-blood barrier may be involved in adhesion through the brain-blood barrier.


In an example of the present invention, Cryptococcus neoformans first includes adhesion to the surface of endothelial cells in passage through the brain-blood barrier, and it was identified whether the protein involved in passage through the brain-blood barrier is also involved in the single molecule adhesion ability of endothelial cells, identifying that most proteins are also involved in the adhesion of endothelial cells. This suggests that adhesion to endothelial cells is one of the important pre-requisites for efficient passage of Cryptococcus neoformans through brain-blood barrier (FIG. 6).


In addition, specifically, any one protein selected from the group consisting of Alk1, Pkh201, Met3, Hsl101, Snf1, Gal83, Urk1, Irk2, Vrk1, Ada2, Hap2, Sre1, Pdr802, and Hob1, which are proteins involved in passage through the brain-blood barrier, may also be a protein involved in survival inside the brain.


The “protein involved in survival inside the brain” includes all proteins that have proliferated Cryptococcus neoformans in the brain or that are necessary for and functionally related to the proliferation thereof.


In one example of the present invention, in order to identify the protein involved in survival inside the brain, the mice were infected with the Cryptococcus neoformans strain, and then the infected brains were harvested and identified. As a result, 14 proteins of Alk1, Pkh201, Met3, Hsl101, Snf1, Ga183, Vrk1, Urk1, Irk2, Ada2, Hap2, Sre1, Pdr802, and Hob1 were identified as proteins involved in both passage through the brain-blood barrier and survival inside the brain. In addition, it was identified that a total of 24 proteins, including 20 kinases (Tlk1, Trm7, Crk1, Mak3201, Yck2, Arg5/6, Kin1, Mpk1, Mps1, Kic1, Yak1, Bud32, Bck1, Utr1, Fpb26, Pos5, Mecl, Ipk1, Hog1, Swe102) and 4 transcription factors (Bzp2, Zfc3, Gat201, Nrg1), were not involved in passage through the brain-blood barrier, but were involved in proliferation of the Cryptococcus neoformans strain inside the brain (FIG. 9).


From the above results, it was identified that the Cryptococcus neoformans strain uses overlapping and distinct signaling pathways to be passed through the brain-blood barrier and proliferated inside the brain.


The proteins involved in passage through the brain-blood barrier and/or survival inside the brain may be involved in cell cycle regulation, tRNA migration, cell wall and membrane integrity, stress response and adaptation, lipid and sterol metabolism, vacuole transport, heme-mediated respiration control, ribosome biosynthesis, carbon utilization and gluconeogenesis, capsule biosynthesis, phosphate sensing and metabolism, and biological processes and signaling pathways such as Tor signaling.


For example, the biological functions and signaling pathways of proteins involved in passage through the brain-blood barrier include: Alk1 involved in cell cycle regulation; Cex1 involved in tRNA migration; Yfh701 involved in cell wall and membrane integrity; Pbs2 involved in stress response and adaptation; Pkh201, Sre1 and Hob1 involved in lipid and sterol metabolism; Hap2 involved in heme-mediated respiration control; Vrk1, Sch9 and Jjj1 involved in ribosome biosynthesis; Pho4 involved in phosphate sensing and metabolism; and Sch9 involved in Tor signaling.


In addition, for example, the biological functions and signaling pathways of proteins involved in survival inside the brain include: Snf1, Ga183, Yck1, and Fpb26 involved in glucose sensing and metabolism; Kin1 involved in polarized exocytosis; Urk1 involved in pyrimidine ribonucleotide salvage pathway; Pos5 involved in mitochondrial function; Trm7 involved in tRNA modification; Mak3201 involved in replication or maintenance of double stranded RNA-containing particles; Crk1 involved in meiosis activation (yeast Ime2 orthologous protein); Alk1, Swe102, Hsl101, and Ssn3 involved in cell cycle and morphology regulation; Pkh201 (yeast Pkh2 orthologous protein); Ada2 involved in histone acetyltransferase activity; Hap2 involved in heme-mediated respiration control; and Vrk1 involved in ribosome biogenesis.


Among these, two kinases including Pkh201 and Alk1 and four transcription factors including Hap2, Sre1, Hob1, and Pdr802 were required for both passage and adhesion through the brain-blood barrier and survival inside the brain, indicating that lipid metabolism, cell cycle regulation, and heme-mediated respiration control are critical for both passage and adhesion through the brain-blood barrier and survival inside the brain.


In addition, specifically, stages (a) and (b) in the method for screening an antifungal agent may be performed between 30° C. and 40° C.


Another aspect of the present invention relates to a method for screening an antifungal agent for co-administration, in which the method includes: (a) a first measurement stage of contacting an antifungal agent with Cryptococcus neoformans cells containing an antifungal agent target protein, and measuring an amount or activity of the protein; (b) a second measurement stage of contacting a sample to be analyzed and the antifungal agent with Cryptococcus neoformans cells containing an antifungal agent target protein, and measuring an amount or activity of the protein; and (c) comparing measured values of the first and second measurement stages, and when the measured value of the second measurement stage is down-regulated from the measured value of the first measurement stage, discriminating that the sample is an antifungal agent for co-administration, in which the target protein is a protein involved in passage through the brain-blood barrier.


As used herein, the term “co-administration” refers to a case in which the effect is increased when several drugs are administered together, compared to when administered alone. In the present invention, the term refers to a case in which the antifungal effect is increased when the screened antifungal agent is administered together than when the conventional known antifungal agent is administered alone.


The protein involved in passage through the brain-blood barrier may be any one selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1.


Specifically, any one protein selected from the group consisting of Cex1, Alk1, Pbs2, Pkh201, Met3, Hsl101, Snf1, Vrk1, Gal83, Irk2, Hap2, Sre1, Fzc1, Pdr802, Fzc9 and Hob1 among the proteins involved in passage through the brain-blood barrier may be involved in adhesion through the brain-blood barrier.


In addition, specifically, any one protein selected from the group consisting of 14 proteins of Alk1, Pkh201, Met3, Hsl101, Snf1, Gal83, Urk1, Irk2, Vrk1, Ada2, Hap2, Sre1, Pdr802 and Hob1 among the proteins involved in passage through the brain-blood barrier may also be a protein involved in survival inside the brain.


In addition, specifically, the antifungal agent in stage (a) may be an azole-based or non-azole-based antifungal agent.


More specifically, the azole-based antifungal agent may be any one or more of fluconazole, itraconazole, voriconazole, and ketoconazole.


In addition, the non-azole-based antifungal agent may be amphotericin B or fludioxonil.


The antifungal agent for co-administration may be for treating meningoencephalitis or cryptococcosis.


Yet another aspect of the present invention relates to a biomarker composition for diagnosing meningoencephalitis or cryptococcosis, in which the composition includes any one or more proteins involved in passage through the brain-blood barrier selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1.


The descriptions of “meningoencephalitis” or “cryptococcosis” are the same as described above.


As used herein, the term “biomarker for diagnosing meningoencephalitis or cryptococcosis” is designed to diagnose whether it is meningoencephalitis or cryptococcosis using a difference in the amount or activity level of proteins involved in passage through the brain-blood barrier.


As used herein, the term “diagnosis” means determining meningoencephalitis or cryptococcosis, and specifically, it may be determined by comparing whether the level of the amount or activity of proteins involved in passage through the brain-blood barrier is high or low.


Specifically, when an amount or activity of any one or more proteins among the proteins involved in passage through the brain-blood barrier is down-regulated, it may be diagnosed with meningoencephalitis or cryptococcosis.


For example, when an amount or activity level of any one or more proteins selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Ga183, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1, which are proteins involved in passage through the brain-blood barrier is measured and down-regulated, it may be diagnosed with meningoencephalitis or cryptococcosis.


The biomarker composition may include an agent capable of measuring the level of a protein involved in passage through the brain-blood barrier, and the agent may measure the protein amount or activity of each of the 23 proteins involved in passage through the brain-blood barrier.


Another aspect of the present invention relates to a kit for diagnosing meningoencephalitis or cryptococcosis, in which the kit includes a biomarker composition for diagnosing meningoencephalitis or cryptococcosis.


The kit may include, without limitation, an agent capable of measuring the amount or activity of a protein involved in passage through the brain-blood barrier, other components, solutions or devices used for measurement, and the like, and instructions for use of the kit may be added.


The kit may include a conventional well-shaped microtiter plate capable of holding a sample. The well may include a porous support capable of adsorbing the sample and one or more biomarkers, which are known in the conventional technical field and are commercially available.


Yet another aspect of the present invention relates to an antifungal pharmaceutical composition including an inhibitor for one or more proteins involved in passage through the brain-blood barrier selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Irk5, Vrk1, Gal83, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1 of Cryptococcus neoformans.


The descriptions of “meningoencephalitis” or “cryptococcosis” are the same as described above.


As used herein, the term “inhibitor” refers to a nucleic acid, a peptide, a polypeptide, a chemical or natural substance that degrades or inhibits the expression or activity of kinases or transcription factors directly or indirectly involved in endothelial cell adhesion when passing through the brain-blood barrier or prior to passing the brain-blood barrier.


Specifically, the inhibitor may be any one or more of an antibody, a dominant-negative mutation, and a ribozyme against the protein involved in passage through the brain-blood barrier (BBB).


In addition, specifically, the inhibitor may be an antisense oligonucleotide, siRNA, shRNA, miRNA, or a vector containing the same for a gene encoding the protein involved in passage through the brain-blood barrier (BBB), but is not limited thereto. All inhibitors capable of inhibiting expression of the gene are included.


Yet another aspect of the present invention relates to a pharmaceutical composition for treating or preventing meningoencephalitis or cryptococcosis, in which the pharmaceutical composition includes the antifungal pharmaceutical composition.


The descriptions of “antifungal pharmaceutical composition,” “meningoencephalitis” or “cryptococcosis” are the same as described above.


The pharmaceutical composition according to the present invention may be prepared into a pharmaceutical formulation using methods well known in the pertinent field to provide rapid, sustained or delayed release of an active ingredient after administration to a mammal. In the preparation of the formulation, the pharmaceutical composition according to the present invention may additionally include a pharmaceutically acceptable carrier within a range that does not inhibit an activity of a compound of the present invention.


The pharmaceutically acceptable carrier includes, but is not limited thereto, conventionally used ones, for example, lactose, dextrose, sucrose, sorbitol, mannitol, xylitol, erythritol, maltitol, starch, acacia rubber, alginate, gelatin, calcium phosphate, calcium silicate, cellulose, methyl cellulose, microcrystalline cellulose, polyvinyl pyrrolidone, water, methyl hydroxybenzoate, propylhydroxybenzoate, talc, magnesium stearate, mineral oil, and the like. In addition, the pharmaceutical composition of the present invention may include a diluent or an excipient such as filler, extender, binder, humectant, disintegrant, and surfactant, and other pharmaceutically acceptable additives.


An administration of the pharmaceutical composition according to the present invention needs to be a pharmaceutically effective amount. The “pharmaceutically effective amount” means an amount enough to prevent or treat diseases at a reasonable benefit/risk ratio applicable to medical treatment. An effective dose level may be variously selected by those skilled in the art according to such factors as a formulation method, a patient's condition and weight, the patient's gender, age and degree of disease, a drug form, an administration route and period, an excretion rate, reaction sensitivity, etc. The effective amount may vary depending on a route of treatment, a use of excipient and a possibility of being used with other drugs, as recognized by those skilled in the art. However, in case of a preparation for oral administration to achieve a preferable effect, the composition according to the present invention may be generally administered to an adult in an amount of 0.0001 to 100 mg/kg a day, preferably 0.001 to 100 mg/kg a day based on 1 kg of body weight. However, the dosage does not limit the scope of the present invention in any aspect.


The pharmaceutical composition of the present invention may be administered to mammals such as mice, livestock, and humans, through various routes. Specifically, the pharmaceutical composition according to the present invention may be orally or parenterally administered (for example, applied or injected intravenously, subcutaneously or intraperitoneally), but may be preferably orally administered. For the prevention and treatment of vaginitis, it may be administered intravaginally. A solid preparation for oral administration may include powder, granule, tablet, capsule, soft capsule, pill, etc. A liquid preparation for oral administration may include a suspending agent, liquid for internal use, emulsion, syrup, aerosol, etc., but may also include various excipients, for example, humectant, a sweetening agent, a flavoring agent, preservative, etc. in addition to water and liquid paraffin, which are frequently used simple diluents. A preparation for parenteral administration may be used by being formulated into a dosage form of external preparation and sterilized injectable preparation such as sterilized aqueous solution, liquid, non-aqueous solvent, a suspending agent, emulsion, eye drop, eye ointment, syrup, suppository, and aerosol, according to respective conventional methods, and preferably may be used by preparing a pharmaceutical composition of cream, gel, patch, spray, ointment, plaster, lotion, liniment, eye ointment, eye drop, paste or cataplasma, but not limited thereto. A preparation for local administration may be an anhydrous or aqueous form depending on a clinical prescription. As the non-aqueous solvent and the suspending agent above, propylene glycol, polyethylene glycol, vegetable oil like olive oil, injectable ester like ethyl oleate, etc. may be used. As a base of the suppository above, witepsol, macrogol, tween 61, cacao butter, laurin oil, glycerogelatin, etc. may be used.


Yet another aspect of the present invention provides a method for treating meningoencephalitis or cryptococcosis, in which the method includes administering to a subject the pharmaceutical composition for treating or preventing meningoencephalitis or cryptococcosis.


The terms “meningoencephalitis” and “cryptococcosis” according to the present invention are the same as described above.


The subject refers to an animal, and may be typically a mammal, on which treatment using the compound of the present invention may show a beneficial effect. A preferable example of such subject may include primates like a human being. In addition, such subjects may include all the subjects having a symptom of diabetes, or having a risk of having such symptom.


EXAMPLES

Hereinafter, the present invention will be described in detail by way of the examples. However, the following examples are provided only for the purpose of illustrating the present invention, and thus the present invention is not limited thereto.


Example 1. Strain and Culture Conditions

In the present invention, strains used to analyze transcription factors and kinases related to meningoencephalitis induction are shown in Table 1 below. Cryptococcus neoformans was cultured in a yeast extract-peptone dextrose (YPD) medium unless otherwise indicated.













TABLE 1









Accession


No.
Strain
Genotype
Parent
No./Source



















1
H99
MATα

208821/ATCC


2
YSB3741
MATα ste50Δ:: NAT-STM#234
H99
51297/KCCM


3
YSB2344
MATα ste50Δ:: NAT-STM#282
H99
51291/KCCM


4
YSB2492
MATα ire1Δ:: NAT-STM#169
H99
51297/KCCM


5
XL280
MATα

those possessed






by Duke University/






Duke University


6
R265
MATα

MYA-4093/ATCC


7
BY4742

Saccharomyces cerevisiae MATα


201389/ATCC


8
YSB5492
MATα mpr1Δ:: NAT-STM#116
H99
those possessed






by Yonsei University/






Yonsei University


9
YSB4211
MATα adk1Δ:: NAT-STM#43
H99
51297/KCCM


10
YSB4212
MATα adk1Δ:: NAT-STM#43
H99
51297/KCCM


11
YSB1503
MATα arg2Δ:: NAT-STM#125
H99
51297/KCCM


12
YSB1504
MATα arg2Δ:: NAT-STM#125
H99
51297/KCCM


13
YSB2408
MATα arg5,6Δ:: NAT-STM#220
H99
51297/KCCM


14
YSB2409
MATα arg5,6Δ:: NAT-STM#220
H99
51297/KCCM


15
YSB1725
MATα ark1Δ:: NAT-STM#43
H99
51297/KCCM


16
YSB1726
MATα ark1Δ:: NAT-STM#43
H99
51297/KCCM


17
YSB1935
MATα atg1Δ:: NAT-STM#288
H99
51297/KCCM


18
YSB1936
MATα atg1Δ:: NAT-STM#288
H99
51297/KCCM


19
YSB273
MATα bck1Δ:: NAT-STM#43
H99
51297/KCCM


20
YSB274
MATα bck1Δ:: NAT-STM#43
H99
51297/KCCM


21
YSB4190
MATα bub1Δ:: NAT-STM#201
H99
51297/KCCM


22
YSB4191
MATα bub1Δ:: NAT-STM#201
H99
51297/KCCM


23
YSB4336
MATα bud16Δ:: NAT-STM#232
H99
51297/KCCM


24
YSB4337
MATα bud16Δ:: NAT-STM#232
H99
51297/KCCM


25
YSB1968
MATα bud32Δ:: NAT-STM#295
H99
51297/KCCM


26
YSB1969
MATα bud32Δ:: NAT-STM#295
H99
51297/KCCM


27
YSB2941
MATα cbk1Δ:: NAT-STM#232
H99
51297/KCCM


28
YSB2942
MATα cbk1Δ:: NAT-STM#232
H99
51297/KCCM


29
YSB2370
MATα cdc2801Δ:: NAT-STM#191
H99
51297/KCCM


30
YSB3699
MATα cdc2801Δ:: NAT-STM#191
H99
51297/KCCM


31
YSB2911
MATα cdc7Δ:: NAT-STM#213
H99
51297/KCCM


32
YSB2912
MATα cdc7Δ:: NAT-STM#213
H99
51297/KCCM


33
YSB1825
MATα chk1Δ:: NAT-STM#205
H99
51297/KCCM


34
YSB1828
MATα chk1Δ:: NAT-STM#205
H99
51297/KCCM


35
YSB3051
MATα cka1Δ:: NAT-STM#6
H99
51297/KCCM


36
YSB3052
MATα cka1Δ:: NAT-STM#6
H99
51297/KCCM


37
YSB1804
MATα cki1Δ:: NAT-STM#218
H99
51297/KCCM


38
YSB1805
MATα cki1Δ:: NAT-STM#218
H99
51297/KCCM


39
YSB1245
MATα cky1Δ:: NAT-STM#282
H99
51297/KCCM


40
YSB1246
MATα cky1Δ:: NAT-STM#282
H99
51297/KCCM


41
YSB1883
MATα cmk1Δ:: NAT-STM#227
H99
51297/KCCM


42
YSB1901
MATα cmk1Δ:: NAT-STM#227
H99
51297/KCCM


43
YSB4256
MATα cmk2Δ:: NAT-STM#220
H99
51297/KCCM


44
YSB4257
MATα cmk2Δ:: NAT-STM#220
H99
51297/KCCM


45
YSB127
MATα cpk1Δ:: NAT-STM#184
H99
51297/KCCM


46
YSB128
MATα cpk1Δ:: NAT-STM#184
H99
51297/KCCM


47
YSB373
MATα cpk2Δ:: NAT-STM#122
H99
51297/KCCM


48
YSB374
MATα cpk2Δ:: NAT-STM#122
H99
51297/KCCM


49
YSB1940
MATα dak102Δ:: NAT-STM#295
H99
51297/KCCM


50
YSB1941
MATα dak102Δ:: NAT-STM#295
H99
51297/KCCM


51
YSB2487
MATα dak202aΔ:: NAT-STM#119
H99
51297/KCCM


52
YSB2489
MATα dak202aΔ:: NAT-STM#119
H99
51297/KCCM


53
YSB4252
MATα env7Δ:: NAT-STM#227
H99
51297/KCCM


54
YSB4253
MATα env7Δ:: NAT-STM#227
H99
51297/KCCM


55
YSB3172
MATα fab1Δ:: NAT-STM#169
H99
51297/KCCM


56
YSB4281
MATα fab1Δ:: NAT-STM#169
H99
51297/KCCM


57
YSB4341
MATα fbp26Δ:: NAT-STM#146
H99
51297/KCCM


58
YSB4342
MATα fbp26Δ:: NAT-STM#146
H99
51297/KCCM


59
YSB2948
MATα fpk1Δ:: NAT-STM#211
H99
51297/KCCM


60
YSB2949
MATα fpk1Δ:: NAT-STM#211
H99
51297/KCCM


61
YSB4228
MATα frk101Δ:: NAT-STM#282
H99
51297/KCCM


62
YSB4230
MATα frk101Δ:: NAT-STM#282
H99
51297/KCCM


63
YSB4324
MATα frk102Δ:: NAT-STM#231
H99
51297/KCCM


64
YSB4325
MATα frk102Δ:: NAT-STM#231
H99
51297/KCCM


65
YSB2829
MATα gal1Δ:: NAT-STM#224
H99
51297/KCCM


66
YSB2830
MATα gal1Δ:: NAT-STM#224
H99
51297/KCCM


67
YSB2852
MATα gal302Δ:: NAT-STM#218
H99
51297/KCCM


68
YSB2853
MATα gal302Δ:: NAT-STM#218
H99
51297/KCCM


69
YSB2038
MATα gsk3Δ:: NAT-STM#123
H99
51297/KCCM


70
YSB2039
MATα gsk3Δ:: NAT-STM#123
H99
51297/KCCM


71
YSB1241
MATα gut1Δ:: NAT-STM#242
H99
51297/KCCM


72
YSB2761
MATα gut1Δ:: NAT-STM#242
H99
51297/KCCM


73
YSB1438
MATα hrk1/mph1Δ:: NAT-STM#210
H99
51297/KCCM


74
YSB1439
MATα hrk1/mph1Δ:: NAT-STM#210
H99
51297/KCCM


75
YSB270
MATα hrk1Δ:: NAT-STM#58
H99
51297/KCCM


76
YSB271
MATα hrk1Δ:: NAT-STM#58
H99
51297/KCCM


77
YSB4174
MATα hrr2502Δ:: NAT-STM#125
H99
51297/KCCM


78
YSB4176
MATα hrr2502Δ:: NAT-STM#125
H99
51297/KCCM


79
YSB1514
MATα igi1Δ:: NAT-STM#230
H99
51297/KCCM


80
YSB1515
MATα igi1Δ:: NAT-STM#230
H99
51297/KCCM


81
YSB1310
MATα iks1Δ:: NAT-STM#116
H99
51297/KCCM


82
YSB2119
MATα iks1Δ:: NAT-STM#116
H99
51297/KCCM


83
YSB2157
MATα ipk1Δ:: NAT-STM#184
H99
51297/KCCM


84
YSB2158
MATα ipk1Δ:: NAT-STM#184
H99
51297/KCCM


85
YSB552
MATα ire1Δ:: NAT-STM#224
H99
51297/KCCM


86
YSB554
MATα ire1Δ:: NAT-STM#224
H99
51297/KCCM


87
YSB1950
MATα irk1Δ:: NAT-STM#5
H99
51297/KCCM


88
YSB1951
MATα irk1Δ:: NAT-STM#5
H99
51297/KCCM


89
YSB1486
MATα irk3Δ:: NAT-STM#273
H99
51297/KCCM


90
YSB1487
MATα irk3Δ:: NAT-STM#273
H99
51297/KCCM


91
YSB2806
MATα irk4Δ:: NAT-STM#211
H99
51297/KCCM


92
YSB2808
MATα irk4Δ:: NAT-STM#211
H99
51297/KCCM


93
YSB3830
MATα irk6Δ:: NAT-STM#5
H99
51297/KCCM


94
YSB3831
MATα irk6Δ:: NAT-STM#5
H99
51297/KCCM


95
YSB2136
MATα irk7Δ:: NAT-STM#208
H99
51297/KCCM


96
YSB2137
MATα irk7Δ:: NAT-STM#208
H99
51297/KCCM


97
YSB3211
MATα kic102Δ:: NAT-STM#201
H99
51297/KCCM


98
YSB3212
MATα kic102Δ:: NAT-STM#201
H99
51297/KCCM


99
YSB2915
MATα kic1Δ:: NAT-STM#201
H99
51297/KCCM


100
YSB2916
MATα kic1Δ:: NAT-STM#201
H99
51297/KCCM


101
YSB2955
MATα kin4Δ:: NAT-STM#225
H99
51297/KCCM


102
YSB4156
MATα kin4Δ:: NAT-STM#225
H99
51297/KCCM


103
YSB1807
MATα ksp1Δ:: NAT-STM#159
H99
51297/KCCM


104
YSB1808
MATα ksp1Δ:: NAT-STM#159
H99
51297/KCCM


105
YSB3789
MATα lcb5Δ:: NAT-STM#213
H99
51297/KCCM


106
YSB3790
MATα lcb5Δ:: NAT-STM#213
H99
51297/KCCM


107
YSB3240
MATα mak3202Δ:: NAT-STM#169
H99
51297/KCCM


108
YSB3241
MATα mak3202Δ:: NAT-STM#169
H99
51297/KCCM


109
YSB3063
MATα mec1Δ:: NAT-STM#204
H99
51297/KCCM


110
YSB3611
MATα mec1Δ:: NAT-STM#204
H99
51297/KCCM


111
YSB330
MATα mkk2Δ:: NAT-STM#224
H99
51297/KCCM


112
YSB331
MATα mkk2Δ:: NAT-STM#224
H99
51297/KCCM


113
YSB3814
MATα mpk1Δ:: NAT-STM#240
H99
51297/KCCM


114
YSB3816
MATα mpk1Δ:: NAT-STM#240
H99
51297/KCCM


115
YSB3236
MATα mpk2Δ:: NAT-STM#102
H99
51297/KCCM


116
YSB3238
MATα mpk2Δ:: NAT-STM#102
H99
51297/KCCM


117
YSB3632
MATα mps1Δ:: NAT-STM#116
H99
51297/KCCM


118
YSB3633
MATα mps1Δ:: NAT-STM#116
H99
51297/KCCM


119
YSB4288
MATα oxk1Δ:: NAT-STM#122
H99
51297/KCCM


120
YSB4289
MATα oxk1Δ:: NAT-STM#122
H99
51297/KCCM


121
YSB2809
MATα pan3Δ:: NAT-STM#204
H99
51297/KCCM


122
YSB2810
MATα pan3Δ:: NAT-STM#204
H99
51297/KCCM


123
YSB4338
MATα pho8501Δ:: NAT-STM#273
H99
51297/KCCM


124
YSB4339
MATα pho8501Δ:: NAT-STM#273
H99
51297/KCCM


125
YSB3702
MATα pho85Δ:: NAT-STM#218
H99
51297/KCCM


126
YSB3703
MATα pho85Δ:: NAT-STM#218
H99
51297/KCCM


127
YSB1493
MATα pik1Δ:: NAT-STM#227
H99
51297/KCCM


128
YSB1494
MATα pik1Δ:: NAT-STM#227
H99
51297/KCCM


129
YSB194
MATα pka2Δ:: NAT-STM#205
H99
51297/KCCM


130
YSB195
MATα pka2Δ:: NAT-STM#205
H99
51297/KCCM


131
YSB4268
MATα pkh202Δ:: NAT-STM#218
H99
51297/KCCM


132
YSB4309
MATα pkh202Δ:: NAT-STM#218
H99
51297/KCCM


133
YSB558
MATα pkp1Δ:: NAT-STM#224
H99
51297/KCCM


134
YSB608
MATα pkp1Δ:: NAT-STM#224
H99
51297/KCCM


135
YSB2439
MATα pkp2Δ:: NAT-STM#295
H99
51297/KCCM


136
YSB2440
MATα pkp2Δ:: NAT-STM#295
H99
51297/KCCM


137
YSB3714
MATα pos5Δ:: NAT-STM#58
H99
51297/KCCM


138
YSB3715
MATα pos5Δ:: NAT-STM#58
H99
51297/KCCM


139
YSB4269
MATα pro1Δ:: NAT-STM#5
H99
51297/KCCM


140
YSB4270
MATα pro1Δ:: NAT-STM#5
H99
51297/KCCM


141
YSB1989
MATα psk201Δ:: NAT-STM#191
H99
51297/KCCM


142
YSB1990
MATα psk201Δ:: NAT-STM#191
H99
51297/KCCM


143
YSB2443
MATα psk202Δ:: NAT-STM#208
H99
51297/KCCM


144
YSB2444
MATα psk202Δ:: NAT-STM#208
H99
51297/KCCM


145
YSB3785
MATα rad53Δ:: NAT-STM#184
H99
51297/KCCM


146
YSB3786
MATα rad53Δ:: NAT-STM#184
H99
51297/KCCM


147
YSB1510
MATα rbk1Δ:: NAT-STM#219
H99
51297/KCCM


148
YSB1511
MATα rbk1Δ:: NAT-STM#219
H99
51297/KCCM


149
YSB1579
MATα rik1Δ:: NAT-STM#150
H99
51297/KCCM


150
YSB1580
MATα rik1Δ:: NAT-STM#150
H99
51297/KCCM


151
YSB1216
MATα rim15Δ:: NAT-STM#191
H99
51297/KCCM


152
YSB1217
MATα rim15Δ:: NAT-STM#191
H99
51297/KCCM


153
YSB4347
MATα sat4Δ:: NAT-STM#212
H99
51297/KCCM


154
YSB4348
MATα sat4Δ:: NAT-STM#212
H99
51297/KCCM


155
YSB2793
MATα scy1Δ:: NAT-STM#150
H99
51297/KCCM


156
YSB2794
MATα scy1Δ:: NAT-STM#150
H99
51297/KCCM


157
YSB1410
MATα sks1Δ:: NAT-STM#211
H99
51297/KCCM


158
YSB1411
MATα sks1Δ:: NAT-STM#211
H99
51297/KCCM


159
YSB1575
MATα snf101Δ:: NAT-STM#146
H99
51297/KCCM


160
YSB1576
MATα snf101Δ:: NAT-STM#146
H99
51297/KCCM


161
YSB4321
MATα snf102Δ:: NAT-STM#116
H99
51297/KCCM


162
YSB4323
MATα snf102Δ:: NAT-STM#116
H99
51297/KCCM


163
YSB3229
MATα sps1Δ:: NAT-STM#288
H99
51297/KCCM


164
YSB3325
MATα sps1Δ:: NAT-STM#288
H99
51297/KCCM


165
YSB3038
MATα ssn3Δ:: NAT-STM#219
H99
51297/KCCM


166
YSB3039
MATα ssn3Δ:: NAT-STM#219
H99
51297/KCCM


167
YSB313
MATα ste11Δ:: NAT-STM#242
H99
51297/KCCM


168
YSB314
MATα ste11Δ:: NAT-STM#242
H99
51297/KCCM


169
YSB342
MATα ste7Δ:: NAT-STM#225
H99
51297/KCCM


170
YSB343
MATα ste7Δ:: NAT-STM#225
H99
51297/KCCM


171
YSB1564
MATα swe102Δ:: NAT-STM#169
H99
51297/KCCM


172
YSB1565
MATα swe102Δ:: NAT-STM#169
H99
51297/KCCM


173
YSB278
MATα tco1Δ:: NAT-STM#102
H99
51297/KCCM


174
YSB279
MATα tco1Δ:: NAT-STM#102
H99
51297/KCCM


175
YSB281
MATα tco2Δ:: NAT-STM#116
H99
51297/KCCM


176
YSB282
MATα tco2Δ:: NAT-STM#116
H99
51297/KCCM


177
YSB284
MATα tco3Δ:: NAT-STM#119
H99
51297/KCCM


178
YSB285
MATα tco3Δ:: NAT-STM#119
H99
51297/KCCM


179
YSB417
MATα tco4Δ:: NAT-STM#123
H99
51297/KCCM


180
YSB418
MATα tco4Δ:: NAT-STM#123
H99
51297/KCCM


181
YSB286
MATα tco5Δ:: NAT-STM#125
H99
51297/KCCM


182
YSB287
MATα tco5Δ:: NAT-STM#125
H99
51297/KCCM


183
YSB2469
MATα tco6Δ:: NAT-STM#58
H99
51297/KCCM


184
YSB2554
MATα tco6Δ:: NAT-STM#58
H99
51297/KCCM


185
YSB4186
MATα tco7Δ:: NAT-STM#208
H99
51297/KCCM


186
YSB4187
MATα tco7Δ:: NAT-STM#208
H99
51297/KCCM


187
YSB2663
MATα tda10Δ:: NAT-STM#102
H99
51297/KCCM


188
YSB3223
MATα tda10Δ:: NAT-STM#102
H99
51297/KCCM


189
YSB3844
MATα tel1Δ:: NAT-STM#225
H99
51297/KCCM


190
YSB3845
MATα tel1Δ:: NAT-STM#225
H99
51297/KCCM


191
YSB3219
MATα thi20Δ:: NAT-STM#231
H99
51297/KCCM


192
YSB3220
MATα thi20Δ:: NAT-STM#231
H99
51297/KCCM


193
YSB1468
MATα thi6Δ:: NAT-STM#290
H99
51297/KCCM


194
YSB1469
MATα thi6Δ:: NAT-STM#290
H99
51297/KCCM


195
YSB2443
MATα tpk202aΔ:: NAT-STM#208
H99
51297/KCCM


196
YSB2444
MATα tpk202aΔ:: NAT-STM#208
H99
51297/KCCM


197
YSB2892
MATα utr1Δ:: NAT-STM#5
H99
51297/KCCM


198
YSB2893
MATα utr1Δ:: NAT-STM#5
H99
51297/KCCM


199
YSB1500
MATα vps15Δ:: NAT-STM#123
H99
51297/KCCM


200
YSB1501
MATα vps15Δ:: NAT-STM#123
H99
51297/KCCM


201
YSB4180
MATα xks1Δ:: NAT-STM#123
H99
51297/KCCM


202
YSB4181
MATα xks1Δ:: NAT-STM#123
H99
51297/KCCM


203
YSB3736
MATα yak103Δ:: NAT-STM#231
H99
51297/KCCM


204
YSB3737
MATα yak103Δ:: NAT-STM#231
H99
51297/KCCM


205
YSB4275
MATα yck2Δ:: NAT-STM#58
H99
51297/KCCM


206
YSB4278
MATα yck2Δ:: NAT-STM#58
H99
51297/KCCM


207
YSB4332
MATα yef1Δ:: NAT-STM#224
H99
51297/KCCM


208
YSB4333
MATα yef1Δ:: NAT-STM#224
H99
51297/KCCM


209
YSB4294
MATα yfh7Δ:: NAT-STM#295
H99
51297/KCCM


210
YSB4295
MATα yfh7Δ:: NAT-STM#295
H99
51297/KCCM


211
YSB3926
MATα ykl1Δ:: NAT-STM#122
H99
51297/KCCM


212
YSB3927
MATα ykl1Δ:: NAT-STM#122
H99
51297/KCCM


213
YSB1885
MATα ypk101Δ:: NAT-STM#242
H99
51297/KCCM


214
YSB1886
MATα ypk101Δ:: NAT-STM#242
H99
51297/KCCM


215
YSB1736
MATα ypk1Δ:: NAT-STM#58
H99
51297/KCCM


216
YSB1737
MATα ypk1Δ:: NAT-STM#58
H99
51297/KCCM


217
YSB1429
MATα apn2Δ:: NAT-STM#102
H99
51291/KCCM


218
YSB1430
MATα apn2Δ:: NAT-STM#102
H99
51291/KCCM


219
YSB714
MATα aro80Δ:: NAT-STM#225
H99
51291/KCCM


220
YSB715
MATα aro80Δ:: NAT-STM#225
H99
51291/KCCM


221
YSB661
MATα aro8001Δ:: NAT-STM#225
H99
51291/KCCM


222
YSB662
MATα aro8001Δ:: NAT-STM#225
H99
51291/KCCM


223
YSB3013
MATα asg1Δ:: NAT-STM#6
H99
51291/KCCM


224
YSB3014
MATα asg1Δ:: NAT-STM#6
H99
51291/KCCM


225
YSB2697
MATα asg101Δ:: NAT-STM#150
H99
51291/KCCM


226
YSB2698
MATα asg101Δ:: NAT-STM#150
H99
51291/KCCM


227
YSB1839
MATα bwc2Δ:: NAT-STM#184
H99
51291/KCCM


228
YSB1840
MATα bwc2Δ:: NAT-STM#184
H99
51291/KCCM


229
YSB723
MATα bzp1(hxl1)Δ:: NAT-STM#295
H99
51291/KCCM


230
YSB724
MATα bzp1(hxl1)Δ:: NAT-STM#295
H99
51291/KCCM


231
YSB2702
MATα bzp2Δ:: NAT-STM#205
H99
51291/KCCM


232
YSB2703
MATα bzp2Δ:: NAT-STM#205
H99
51291/KCCM


233
YSB1099
MATα bzp3Δ:: NAT-STM#146
H99
51291/KCCM


234
YSB1100
MATα bzp3Δ:: NAT-STM#146
H99
51291/KCCM


235
YSB1894
MATα bzp4Δ:: NAT-STM#295
H99
51291/KCCM


236
YSB1895
MATα bzp4Δ:: NAT-STM#295
H99
51291/KCCM


237
YSB1474
MATα bzp5Δ:: NAT-STM#191
H99
51291/KCCM


238
YSB1475
MATα bzp5Δ:: NAT-STM#191
H99
51291/KCCM


239
YSB706
MATα ccd4Δ:: NAT-STM#122
H99
51291/KCCM


240
YSB707
MATα ccd4Δ:: NAT-STM#122
H99
51291/KCCM


241
YSB847
MATα cep3Δ:: NAT-STM#292
H99
51291/KCCM


242
YSB848
MATα cep3Δ:: NAT-STM#292
H99
51291/KCCM


243
YSB1396
MATα clr1Δ:: NAT-STM#242
H99
51291/KCCM


244
YSB1397
MATα clr1Δ:: NAT-STM#242
H99
51291/KCCM


245
YSB1834
MATα clr3Δ:: NAT-STM#102
H99
51291/KCCM


246
YSB1836
MATα clr3Δ:: NAT-STM#102
H99
51291/KCCM


247
YSB3282
MATα clr4Δ:: NAT-STM#242
H99
51291/KCCM


248
YSB3283
MATα clr4Δ:: NAT-STM#242
H99
51291/KCCM


249
YSB1106
MATα clr6Δ:: NAT-STM#231
H99
51291/KCCM


250
YSB1107
MATα clr6Δ:: NAT-STM#231
H99
51291/KCCM


251
YSB2665
MATα cuf1Δ:: NAT-STM#205
H99
51291/KCCM


252
YSB2666
MATα cuf1Δ:: NAT-STM#205
H99
51291/KCCM


253
YSB3150
MATα ddt1Δ:: NAT-STM#102
H99
51291/KCCM


254
YSB3151
MATα ddt1Δ:: NAT-STM#102
H99
51291/KCCM


255
YSB476
MATα ecm22Δ:: NAT-STM#219
H99
51291/KCCM


256
YSB478
MATα ecm22Δ:: NAT-STM#219
H99
51291/KCCM


257
YSB693
MATα ert1Δ:: NAT-STM#225
H99
51291/KCCM


258
YSB694
MATα ert1Δ:: NAT-STM#225
H99
51291/KCCM


259
YSB813
MATα fap1Δ:: NAT-STM#296
H99
51291/KCCM


260
YSB817
MATα fap1Δ:: NAT-STM#296
H99
51291/KCCM


261
YSB1856
MATα fkh101Δ:: NAT-STM#184
H99
51291/KCCM


262
YSB1857
MATα fkh101Δ:: NAT-STM#184
H99
51291/KCCM


263
YSB1339
MATα fkh2Δ:: NAT-STM#219
H99
51291/KCCM


264
YSB1340
MATα fkh2Δ:: NAT-STM#219
H99
51291/KCCM


265
YSB1050
MATα fzc2Δ:: NAT-STM#288
H99
51291/KCCM


266
YSB1051
MATα fzc2Δ:: NAT-STM#288
H99
51291/KCCM


267
YSB2611
MATα fzc3Δ:: NAT-STM#204
H99
51291/KCCM


268
YSB2664
MATα fzc3Δ:: NAT-STM#204
H99
51291/KCCM


269
YSB2724
MATα fzc4Δ:: NAT-STM#166
H99
51291/KCCM


270
YSB2725
MATα fzc4Δ:: NAT-STM#166
H99
51291/KCCM


271
YSB1400
MATα fzc5Δ:: NAT-STM#5
H99
51291/KCCM


272
YSB1401
MATα fzc5Δ:: NAT-STM#5
H99
51291/KCCM


273
YSB1980
MATα fzc6Δ:: NAT-STM#211
H99
51291/KCCM


274
YSB1981
MATα fzc6Δ:: NAT-STM#211
H99
51291/KCCM


275
YSB2704
MATα fzc7Δ:: NAT-STM#119
H99
51291/KCCM


276
YSB2705
MATα fzc7Δ:: NAT-STM#119
H99
51291/KCCM


277
YSB2112
MATα fzc8Δ:: NAT-STM#177
H99
51291/KCCM


278
YSB2113
MATα fzc8Δ:: NAT-STM#177
H99
51291/KCCM


279
YSB3083
MATα fzc10Δ:: NAT-STM#123
H99
51291/KCCM


280
YSB3368
MATα fzc10Δ:: NAT-STM#123
H99
51291/KCCM


281
YSB845
MATα fzc11Δ:: NAT-STM#292
H99
51291/KCCM


282
YSB846
MATα fzc11Δ:: NAT-STM#292
H99
51291/KCCM


283
YSB467
MATα fzc12Δ:: NAT-STM#224
H99
51291/KCCM


284
YSB468
MATα fzc12Δ:: NAT-STM#224
H99
51291/KCCM


285
YSB2517
MATα fzc13Δ:: NAT-STM#191
H99
51291/KCCM


286
YSB2518
MATα fzc13Δ:: NAT-STM#191
H99
51291/KCCM


287
YSB1846
MATα fzc14Δ:: NAT-STM#43
H99
51291/KCCM


288
YSB1847
MATα fzc14Δ:: NAT-STM#43
H99
51291/KCCM


289
YSB646
MATα fzc15Δ:: NAT-STM#122
H99
51291/KCCM


290
YSB647
MATα fzc15Δ:: NAT-STM#122
H99
51291/KCCM


291
YSB2326
MATα fzc16Δ:: NAT-STM#212
H99
51291/KCCM


292
YSB2327
MATα fzc16Δ:: NAT-STM#212
H99
51291/KCCM


293
YSB2250
MATα fzc17Δ:: NAT-STM#240
H99
51291/KCCM


294
YSB2251
MATα fzc17Δ:: NAT-STM#240
H99
51291/KCCM


295
YSB2320
MATα fzc18Δ:: NAT-STM#212
H99
51291/KCCM


296
YSB2321
MATα fzc18Δ:: NAT-STM#212
H99
51291/KCCM


297
YSB2115
MATα fzc19Δ:: NAT-STM#184
H99
51291/KCCM


298
YSB2116
MATα fzc19Δ:: NAT-STM#184
H99
51291/KCCM


299
YSB3128
MATα fzc20Δ:: NAT-STM#191
H99
51291/KCCM


300
YSB3129
MATα fzc20Δ:: NAT-STM#191
H99
51291/KCCM


301
YSB1252
MATα fzc21Δ:: NAT-STM#150
H99
51291/KCCM


302
YSB1253
MATα fzc21Δ:: NAT-STM#150
H99
51291/KCCM


303
YSB1688
MATα fzc22Δ:: NAT-STM#273
H99
51291/KCCM


304
YSB2974
MATα fzc22Δ:: NAT-STM#273
H99
51291/KCCM


305
YSB3105
MATα fzc23Δ:: NAT-STM#201
H99
51291/KCCM


306
YSB3106
MATα fzc23Δ:: NAT-STM#201
H99
51291/KCCM


307
YSB774
MATα fzc24Δ:: NAT-STM#292
H99
51291/KCCM


308
YSB775
MATα fzc24Δ:: NAT-STM#292
H99
51291/KCCM


309
YSB518
MATα fzc25Δ:: NAT-STM#227
H99
51291/KCCM


310
YSB1822
MATα fzc25Δ:: NAT-STM#227
H99
51291/KCCM


311
YSB3084
MATα fzc26Δ:: NAT-STM#146
H99
51291/KCCM


312
YSB3085
MATα fzc26Δ:: NAT-STM#146
H99
51291/KCCM


313
YSB582
MATα fzc27Δ:: NAT-STM#220
H99
51291/KCCM


314
YSB583
MATα fzc27Δ:: NAT-STM#220
H99
51291/KCCM


315
YSB2337
MATα fzc28Δ:: NAT-STM#125
H99
51291/KCCM


316
YSB2338
MATα fzc28Δ:: NAT-STM#125
H99
51291/KCCM


317
YSB718
MATα fzc29Δ:: NAT-STM#225
H99
51291/KCCM


318
YSB719
MATα fzc29Δ:: NAT-STM#225
H99
51291/KCCM


319
YSB2447
MATα fzc30Δ:: NAT-STM#230
H99
51291/KCCM


320
YSB2448
MATα fzc30Δ:: NAT-STM#230
H99
51291/KCCM


321
YSB2385
MATα fzc32Δ:: NAT-STM#234
H99
51291/KCCM


322
YSB2526
MATα fzc32Δ:: NAT-STM#234
H99
51291/KCCM


323
YSB1074
MATα fzc33Δ:: NAT-STM#43
H99
51291/KCCM


324
YSB1075
MATα fzc33Δ:: NAT-STM#43
H99
51291/KCCM


325
YSB501
MATα fzc34Δ:: NAT-STM#231
H99
51291/KCCM


326
YSB2979
MATα fzc34Δ:: NAT-STM#231
H99
51291/KCCM


327
YSB1341
MATα fzc35Δ:: NAT-STM#213
H99
51291/KCCM


328
YSB1342
MATα fzc35Δ:: NAT-STM#213
H99
51291/KCCM


329
YSB2335
MATα fzc36Δ:: NAT-STM#119
H99
51291/KCCM


330
YSB2523
MATα fzc36Δ:: NAT-STM#119
H99
51291/KCCM


331
YSB1329
MATα fzc37Δ:: NAT-STM#210
H99
51291/KCCM


332
YSB1330
MATα fzc37Δ:: NAT-STM#210
H99
51291/KCCM


333
YSB777
MATα fzc38Δ:: NAT-STM#292
H99
51291/KCCM


334
YSB1330
MATα fzc38Δ:: NAT-STM#292
H99
51291/KCCM


335
YSB1820
MATα fzc39Δ:: NAT-STM#231
H99
51291/KCCM


336
YSB2621
MATα fzc39Δ:: NAT-STM#231
H99
51291/KCCM


337
YSB3088
MATα fzc40Δ:: NAT-STM#205
H99
51291/KCCM


338
YSB3758
MATα fzc40Δ:: NAT-STM#205
H99
51291/KCCM


339
YSB1334
MATα fzc41Δ:: NAT-STM#295
H99
51291/KCCM


340
YSB1335
MATα fzc41Δ:: NAT-STM#295
H99
51291/KCCM


341
YSB687
MATα fzc42Δ:: NAT-STM#122
H99
51291/KCCM


342
YSB690
MATα fzc42Δ:: NAT-STM#122
H99
51291/KCCM


343
YSB517
MATα fzc43Δ:: NAT-STM#191
H99
51291/KCCM


344
YSB2334
MATα fzc43Δ:: NAT-STM#191
H99
51291/KCCM


345
YSB2182
MATα fzc44Δ:: NAT-STM#5
H99
51291/KCCM


346
YSB2183
MATα fzc44Δ:: NAT-STM#5
H99
51291/KCCM


347
YSB2221
MATα fzc45Δ:: NAT-STM#58
H99
51291/KCCM


348
YSB2222
MATα fzc45Δ:: NAT-STM#58
H99
51291/KCCM


349
YSB1209
MATα fzc46Δ:: NAT-STM#177
H99
51291/KCCM


350
YSB1210
MATα fzc46Δ:: NAT-STM#177
H99
51291/KCCM


351
YSB1406
MATα fzc47Δ:: NAT-STM#102
H99
51291/KCCM


352
YSB1407
MATα fzc47Δ:: NAT-STM#102
H99
51291/KCCM


353
YSB2646
MATα fzc48Δ:: NAT-STM#290
H99
51291/KCCM


354
YSB2647
MATα fzc48Δ:: NAT-STM#290
H99
51291/KCCM


355
YSB2171
MATα fzc49Δ:: NAT-STM#5
H99
51291/KCCM


356
YSB2173
MATα fzc49Δ:: NAT-STM#5
H99
51291/KCCM


357
YSB3131
MATα fzc50Δ:: NAT-STM#204
H99
51291/KCCM


358
YSB3132
MATα fzc50Δ:: NAT-STM#204
H99
51291/KCCM


359
YSB1842
MATα fzc51Δ:: NAT-STM#159
H99
51291/KCCM


360
YSB1843
MATα fzc51Δ:: NAT-STM#159
H99
51291/KCCM


361
YSB2972
MATα gat1Δ:: NAT-STM#227
H99
51291/KCCM


362
YSB2973
MATα gat1Δ:: NAT-STM#227
H99
51291/KCCM


363
YSB569
MATα gat203Δ:: NAT-STM#220
H99
51291/KCCM


364
YSB570
MATα gat203Δ:: NAT-STM#220
H99
51291/KCCM


365
YSB1311
MATα gat204Δ:: NAT-STM#218
H99
51291/KCCM


366
YSB1312
MATα gat204Δ:: NAT-STM#218
H99
51291/KCCM


367
YSB3033
MATα gat5Δ:: NAT-STM#290
H99
51291/KCCM


368
YSB3034
MATα gat5Δ:: NAT-STM#290
H99
51291/KCCM


369
YSB1385
MATα gat6Δ:: NAT-STM#201
H99
51291/KCCM


370
YSB1386
MATα gat6Δ:: NAT-STM#201
H99
51291/KCCM


371
YSB2699
MATα gat7Δ:: NAT-STM#159
H99
51291/KCCM


372
YSB2700
MATα gat7Δ:: NAT-STM#159
H99
51291/KCCM


373
YSB471
MATα gat8Δ:: NAT-STM#125
H99
51291/KCCM


374
YSB472
MATα gat8Δ:: NAT-STM#125
H99
51291/KCCM


375
YSB3154
MATα gln3Δ:: NAT-STM#230
H99
51291/KCCM


376
YSB3155
MATα gln3Δ:: NAT-STM#230
H99
51291/KCCM


377
YSB796
MATα grf1Δ:: NAT-STM#296
H99
51291/KCCM


378
YSB797
MATα grf1Δ:: NAT-STM#296
H99
51291/KCCM


379
YSB2481
MATα hap1Δ:: NAT-STM#240
H99
51291/KCCM


380
YSB2482
MATα hap1Δ:: NAT-STM#240
H99
51291/KCCM


381
YSB1850
MATα hcm1Δ:: NAT-STM#177
H99
51291/KCCM


382
YSB1851
MATα hcm1Δ:: NAT-STM#177
H99
51291/KCCM


383
YSB2390
MATα hcm101Δ:: NAT-STM#211
H99
51291/KCCM


384
YSB2391
MATα hcm101Δ:: NAT-STM#211
H99
51291/KCCM


385
YSB1382
MATα hel2Δ:: NAT-STM#204
H99
51291/KCCM


386
YSB1383
MATα hel2Δ:: NAT-STM#204
H99
51291/KCCM


387
YSB1175
MATα hlh1Δ:: NAT-STM#146
H99
51291/KCCM


388
YSB1176
MATα hlh1Δ:: NAT-STM#146
H99
51291/KCCM


389
YSB1147
MATα hlh2Δ:: NAT-STM#224
H99
51291/KCCM


390
YSB1149
MATα hlh2Δ:: NAT-STM#224
H99
51291/KCCM


391
YSB2244
MATα hlh4Δ:: NAT-STM#295
H99
51291/KCCM


392
YSB2245
MATα hlh4Δ:: NAT-STM#295
H99
51291/KCCM


393
YSB2609
MATα hlh5Δ:: NAT-STM#210
H99
51291/KCCM


394
YSB3059
MATα hlh5Δ:: NAT-STM#210
H99
51291/KCCM


395
YSB2282
MATα hob2Δ:: NAT-STM#43
H99
51291/KCCM


396
YSB2283
MATα hob2Δ:: NAT-STM#43
H99
51291/KCCM


397
YSB2001
MATα hob3Δ:: NAT-STM#211
H99
51291/KCCM


398
YSB2002
MATα hob3Δ:: NAT-STM#211
H99
51291/KCCM


399
YSB1435
MATα hob4Δ:: NAT-STM#159
H99
51291/KCCM


400
YSB1437
MATα hob4Δ:: NAT-STM#159
H99
51291/KCCM


401
YSB1255
MATα hob6Δ:: NAT-STM#201
H99
51291/KCCM


402
YSB1256
MATα hob6Δ:: NAT-STM#201
H99
51291/KCCM


403
YSB3026
MATα hob7Δ:: NAT-STM#159
H99
51291/KCCM


404
YSB3027
MATα hob7Δ:: NAT-STM#159
H99
51291/KCCM


405
YSB2295
MATα hsf2Δ:: NAT-STM#205
H99
51291/KCCM


406
YSB2296
MATα hsf2Δ:: NAT-STM#205
H99
51291/KCCM


407
YSB2527
MATα hsf3Δ:: NAT-STM#273
H99
51291/KCCM


408
YSB2528
MATα hsf3Δ:: NAT-STM#273
H99
51291/KCCM


409
YSB2211
MATα liv1Δ:: NAT-STM#213
H99
51291/KCCM


410
YSB2212
MATα liv1Δ:: NAT-STM#213
H99
51291/KCCM


411
YSB2089
MATα liv4Δ:: NAT-STM#234
H99
51291/KCCM


412
YSB2634
MATα liv4Δ:: NAT-STM#234
H99
51291/KCCM


413
YSB506
MATα mal13Δ:: NAT-STM#230
H99
51291/KCCM


414
YSB507
MATα mal13Δ:: NAT-STM#230
H99
51291/KCCM


415
YSB768
MATα mbf1Δ:: NAT-STM#296
H99
51291/KCCM


416
YSB769
MATα mbf1Δ:: NAT-STM#296
H99
51291/KCCM


417
YSB488
MATα mbs1Δ:: NAT-STM#150
H99
51291/KCCM


418
YSB489
MATα mbs1Δ:: NAT-STM#150
H99
51291/KCCM


419
YSB538
MATα mbs2Δ:: NAT-STM#122
H99
51291/KCCM


420
YSB539
MATα mbs2Δ:: NAT-STM#122
H99
51291/KCCM


421
YSB1302
MATα mcm1Δ:: NAT-STM#218
H99
51291/KCCM


422
YSB1303
MATα mcm1Δ:: NAT-STM#218
H99
51291/KCCM


423
YSB1178
MATα met32Δ:: NAT-STM#58
H99
51291/KCCM


424
YSB1179
MATα met32Δ:: NAT-STM#58
H99
51291/KCCM


425
YSB2133
MATα miz1Δ:: NAT-STM#210
H99
51291/KCCM


426
YSB3366
MATα miz1Δ:: NAT-STM#210
H99
51291/KCCM


427
YSB1172
MATα mln1Δ:: NAT-STM#146
H99
51291/KCCM


428
YSB1173
MATα mln1Δ:: NAT-STM#146
H99
51291/KCCM


429
YSB2727
MATα mlr1Δ:: NAT-STM#116
H99
51291/KCCM


430
YSB2728
MATα mlr1Δ:: NAT-STM#116
H99
51291/KCCM


431
YSB3096
MATα nrg1Δ:: NAT-STM#123
H99
51291/KCCM


432
YSB3097
MATα nrg1Δ:: NAT-STM#123
H99
51291/KCCM


433
YSB1181
MATα pan1Δ:: NAT-STM#242
H99
51291/KCCM


434
YSB1183
MATα pan1Δ:: NAT-STM#242
H99
51291/KCCM


435
YSB1249
MATα pip2Δ:: NAT-STM#232
H99
51291/KCCM


436
YSB1250
MATα pip2Δ:: NAT-STM#232
H99
51291/KCCM


437
YSB3099
MATα pip201Δ:: NAT-STM#123
H99
51291/KCCM


438
YSB3100
MATα pip201Δ:: NAT-STM#123
H99
51291/KCCM


439
YSB1046
MATα ppr1Δ:: NAT-STM#288
H99
51291/KCCM


440
YSB1047
MATα ppr1Δ:: NAT-STM#288
H99
51291/KCCM


441
YSB1898
MATα rds2Δ:: NAT-STM#242
H99
51291/KCCM


442
YSB1899
MATα rds2Δ:: NAT-STM#242
H99
51291/KCCM


443
YSB1366
MATα rim101Δ:: NAT-STM#208
H99
51291/KCCM


444
YSB1367
MATα rim101Δ:: NAT-STM#208
H99
51291/KCCM


445
YSB1300
MATα rlm1Δ:: NAT-STM#234
H99
51291/KCCM


446
YSB1301
MATα rlm1Δ:: NAT-STM#234
H99
51291/KCCM


447
YSB3164
MATα rum1Δ:: NAT-STM#288
H99
51291/KCCM


448
YSB3747
MATα rum1Δ:: NAT-STM#288
H99
51291/KCCM


449
YSB2680
MATα sip4Δ:: NAT-STM#290
H99
51291/KCCM


450
YSB2681
MATα sip4Δ:: NAT-STM#290
H99
51291/KCCM


451
YSB1358
MATα sip401Δ:: NAT-STM#58
H99
51291/KCCM


452
YSB1359
MATα sip401Δ:: NAT-STM#58
H99
51291/KCCM


453
YSB529
MATα sip402Δ:: NAT-STM#270
H99
51291/KCCM


454
YSB530
MATα sip402Δ:: NAT-STM#270
H99
51291/KCCM


455
YSB349
MATα skn7Δ:: NAT-STM#201
H99
51291/KCCM


456
YSB350
MATα skn7Δ:: NAT-STM#201
H99
51291/KCCM


457
YSB1542
MATα ste12Δ:: NAT-STM#58
H99
51291/KCCM


458
YSB1543
MATα ste12Δ:: NAT-STM#58
H99
51291/KCCM


459
YSB1390
MATα sxl1alphaΔ:: NAT-STM#208
H99
51291/KCCM


460
YSB1391
MATα sxl1alphaΔ:: NAT-STM#208
H99
51291/KCCM


461
YSB1464
MATα usv101Δ:: NAT-STM#191
H99
51291/KCCM


462
YSB1465
MATα usv101Δ:: NAT-STM#191
H99
51291/KCCM


463
YSB815
MATα yap1Δ:: NAT-STM#296
H99
51291/KCCM


464
YSB1290
MATα yap1Δ:: NAT-STM#296
H99
51291/KCCM


465
YSB1416
MATα yap2Δ:: NAT-STM#218
H99
51291/KCCM


466
YSB1417
MATα yap2Δ:: NAT-STM#218
H99
51291/KCCM


467
YSB3134
MATα yox101Δ:: NAT-STM#227
H99
51291/KCCM


468
YSB3136
MATα yox101Δ:: NAT-STM#227
H99
51291/KCCM


469
YSB2997
MATα yrm101Δ:: NAT-STM#219
H99
51291/KCCM


470
YSB2998
MATα yrm101Δ:: NAT-STM#219
H99
51291/KCCM


471
YSB2298
MATα yrm103Δ:: NAT-STM#5
H99
51291/KCCM


472
YSB2299
MATα yrm103Δ:: NAT-STM#5
H99
51291/KCCM


473
YSB2540
MATα zap103Δ:: NAT-STM#234
H99
51291/KCCM


474
YSB2541
MATα zap103Δ:: NAT-STM#234
H99
51291/KCCM


475
YSB2134
MATα zap104Δ:: NAT-STM#204
H99
51291/KCCM


476
YSB2135
MATα zap104Δ:: NAT-STM#204
H99
51291/KCCM


477
YSB2573
MATα zfc1Δ:: NAT-STM#224
H99
51291/KCCM


478
YSB2574
MATα zfc1Δ:: NAT-STM#224
H99
51291/KCCM


479
YSB2622
MATα zfc2Δ:: NAT-STM#6
H99
51291/KCCM


480
YSB2623
MATα zfc2Δ:: NAT-STM#6
H99
51291/KCCM


481
YSB2231
MATα zfc4Δ:: NAT-STM#210
H99
51291/KCCM


482
YSB2232
MATα zfc4Δ:: NAT-STM#210
H99
51291/KCCM


483
YSB2177
MATα zfc5Δ:: NAT-STM#6
H99
51291/KCCM


484
YSB2178
MATα zfc5Δ:: NAT-STM#6
H99
51291/KCCM


485
YSB1953
MATα zfc6Δ:: NAT-STM#177
H99
51291/KCCM


486
YSB1954
MATα zfc6Δ:: NAT-STM#177
H99
51291/KCCM


487
YSB481
MATα zfc7Δ:: NAT-STM#224
H99
51291/KCCM


488
YSB482
MATα zfc7Δ:: NAT-STM#224
H99
51291/KCCM


489
YSB3031
MATα zfc8Δ:: NAT-STM#230
H99
51291/KCCM


490
YSB3032
MATα zfc8Δ:: NAT-STM#230
H99
51291/KCCM


491
YSB2740
MATα znf2Δ:: NAT-STM#211
H99
51291/KCCM


492
YSB2741
MATα znf2Δ:: NAT-STM#211
H99
51291/KCCM


493
YSB4327
MATα cex1Δ:: NAT-STM#219
H99
51291/KCCM


494
YSB4328
MATα cex1Δ:: NAT-STM#219
H99
51291/KCCM


495
YSB1571
MATα alk1Δ:: NAT-STM#122
H99
51291/KCCM


496
YSB1573
MATα alk1Δ:: NAT-STM#122
H99
51291/KCCM


497
YSB123
MATα pbs2Δ:: NAT-STM#213
H99
51291/KCCM


498
YSB124
MATα pbs2Δ:: NAT-STM#213
H99
51291/KCCM


499
YSB2826
MATα yfh701Δ:: NAT-STM#220
H99
51291/KCCM


500
YSB3716
MATα yfh701Δ:: NAT-STM#220
H99
51291/KCCM


501
YSB1234
MATα pkh201Δ:: NAT-STM#219
H99
51291/KCCM


502
YSB1235
MATα pkh201Δ:: NAT-STM#219
H99
51291/KCCM


503
YSB2072
MATα abc1Δ:: NAT-STM#119
H99
51291/KCCM


504
YSB2797
MATα abc1Δ:: NAT-STM#119
H99
51291/KCCM


505
YSB3056
MATα trm7Δ:: NAT-STM#102
H99
51291/KCCM


506
YSB3057
MATα trm7Δ:: NAT-STM#102
H99
51291/KCCM


507
YSB3153
MATα tlk1Δ:: NAT-STM#116
H99
51291/KCCM


508
YSB3188
MATα tlk1Δ:: NAT-STM#116
H99
51291/KCCM


509
YSB3824
MATα mak3201Δ:: NAT-STM#159
H99
51291/KCCM


510
YSB3825
MATα mak3201Δ:: NAT-STM#159
H99
51291/KCCM


511
YSB1709
MATα crk1Δ:: NAT-STM#43
H99
51291/KCCM


512
YSB1710
MATα crk1Δ:: NAT-STM#43
H99
51291/KCCM


513
YSB3329
MATα met3Δ:: NAT-STM#205
H99
51291/KCCM


514
YSB3330
MATα met3Δ:: NAT-STM#205
H99
51291/KCCM


515
YSB1800
MATα hsl101Δ:: NAT-STM#146
H99
51291/KCCM


516
YSB1801
MATα hsl101Δ:: NAT-STM#146
H99
51291/KCCM


517
YSB2372
MATα snf1Δ:: NAT-STM#204
H99
51291/KCCM


518
YSB2373
MATα snf1Δ:: NAT-STM#204
H99
51291/KCCM


519
YSB619
MATα sch9Δ:: NAT-STM#169
H99
51291/KCCM


520
YSB620
MATα sch9Δ:: NAT-STM#169
H99
51291/KCCM


521
YSB2952
MATα irk5Δ:: NAT-STM#213
H99
51291/KCCM


522
YSB2953
MATα irk5Δ:: NAT-STM#213
H99
51291/KCCM


523
YSB2216
MATα vrk1Δ:: NAT-STM#123
H99
51291/KCCM


524
YSB2217
MATα vrk1Δ:: NAT-STM#123
H99
51291/KCCM


525
YSB2415
MATα gal83Δ:: NAT-STM#288
H99
51291/KCCM


526
YSB2416
MATα gal83Δ:: NAT-STM#288
H99
51291/KCCM


527
YSB1266
MATα urk1Δ:: NAT-STM#43
H99
51291/KCCM


528
YSB1267
MATα urk1Δ:: NAT-STM#43
H99
51291/KCCM


529
YSB1904
MATα irk2Δ:: NAT-STM#232
H99
51291/KCCM


530
YSB1905
MATα irk2Δ:: NAT-STM#232
H99
51291/KCCM


531
YSB2040
MATα yak1Δ:: NAT-STM#184
H99
51291/KCCM


532
YSB2096
MATα yak1Δ:: NAT-STM#184
H99
51291/KCCM


533
YSB64
MATα hog1Δ:: NAT-STM#177
H99
51291/KCCM


534
YSB65
MATα hog1Δ:: NAT-STM#177
H99
51291/KCCM


535
YSB264
MATα ssk2Δ:: NAT-STM#210
H99
51291/KCCM


536
YSB265
MATα ssk2Δ:: NAT-STM#210
H99
51291/KCCM


537
YSB1912
MATα dak101Δ:: NAT-STM#282
H99
51291/KCCM


538
YSB1913
MATα dak101Δ:: NAT-STM#282
H99
51291/KCCM


539
YSB3930
MATα kin1Δ:: NAT-STM#6
H99
51291/KCCM


540
YSB3931
MATα kin1Δ:: NAT-STM#6
H99
51291/KCCM


541
YSB188
MATα pka1Δ:: NAT-STM#191
H99
51291/KCCM


542
YSB189
MATα pka1Δ:: NAT-STM#191
H99
51291/KCCM


543
YSB1104
MATα hap2Δ:: NAT-STM#123
H99
51291/KCCM


544
YSB1105
MATα hap2Δ:: NAT-STM#123
H99
51291/KCCM


545
YSB2381
MATα ada2Δ:: NAT-STM#232
H99
51291/KCCM


546
YSB2382
MATα ada2Δ:: NAT-STM#232
H99
51291/KCCM


547
YSB1592
MATα jjj1Δ:: NAT-STM#240
H99
51291/KCCM


548
YSB1594
MATα jjj1Δ:: NAT-STM#240
H99
51291/KCCM


549
YSB2329
MATα pho4/hlh3Δ:: NAT-STM#208
H99
51291/KCCM


550
YSB2330
MATα pho4/hlh3Δ:: NAT-STM#208
H99
51291/KCCM


551
YSB676
MATα atf1Δ:: NAT-STM#220
H99
51291/KCCM


552
YSB678
MATα atf1Δ:: NAT-STM#220
H99
51291/KCCM


553
YSB1585
MATα hob5Δ:: NAT-STM#219
H99
51291/KCCM


554
YSB1586
MATα hob5Δ:: NAT-STM#219
H99
51291/KCCM


555
YSB1013
MATα stb4Δ:: NAT-STM#125
H99
51291/KCCM


556
YSB1014
MATα stb4Δ:: NAT-STM#125
H99
51291/KCCM


557
YSB1263
MATα sp1(crz1)Δ:: NAT-STM#231
H99
51291/KCCM


558
YSB1264
MATα sp1(crz1)Δ:: NAT-STM#231
H99
51291/KCCM


559
YSB2108
MATα zfc3Δ:: NAT-STM#232
H99
51291/KCCM


560
YSB2386
MATα zfc3Δ:: NAT-STM#232
H99
51291/KCCM


561
YSB2494
MATα sre1Δ:: NAT-STM#242
H99
51291/KCCM


562
YSB2493
MATα sre1Δ:: NAT-STM#242
H99
51291/KCCM


563
YSB2308
MATα hob1Δ:: NAT-STM#213
H99
51291/KCCM


564
YSB2309
MATα hob1Δ:: NAT-STM#213
H99
51291/KCCM


565
YSB2387
MATα pdr802Δ:: NAT-STM#220
H99
51291/KCCM


566
YSB2388
MATα pdr802Δ:: NAT-STM#220
H99
51291/KCCM


567
YSB2984
MATα fzc9Δ:: NAT-STM#232
H99
51291/KCCM


568
YSB3266
MATα fzc9Δ:: NAT-STM#232
H99
51291/KCCM


569
YSB510
MATα fzc1Δ:: NAT-STM#116
H99
51291/KCCM


570
YSB511
MATα fzc1Δ:: NAT-STM#116
H99
51291/KCCM


571
YSB3093
MATα fzc31Δ:: NAT-STM#273
H99
51291/KCCM


572
YSB3094
MATα fzc31Δ:: NAT-STM#273
H99
51291/KCCM


573
YSB3300
MATα gat201Δ:: NAT-STM#273
H99
51291/KCCM


574
YSB3301
MATα gat201Δ:: NAT-STM#273
H99
51291/KCCM









Experimental Example 1. Analysis of SM1-Based Marine Lang and Brain Infections Using Cryptococcus neoformans Kinase and Transcription Factor Mutant Libraries

To identify the kinases and transcription factors required for lung and brain infection, the lung-STM scores and the brain-STM scores for each mutant were compared using Cryptococcus neoformans kinase and transcription factor mutant libraries. For a method for preparing Cryptococcus neoformans kinase and transcription factor mutant libraries, Korean Patent Application Publication No. 10-2017-0054190 may be referred.


The high-throughput murine brain-infectivity test was performed using the transcription factor and kinase mutant libraries with the nourseothricin acetyltransferase (NAT) selection marker containing 46 unique signature tags (four and five groups of the transcription factor and kinase mutant libraries). The ste50 mutants were used as virulent control strains.


Each group of libraries was incubated at 30° C. in YPD medium for 16 hours, respectively, and washed three times with phosphate-buffered saline (PBS). The concentration of each mutant was adjusted to 107 cells per ml−1 and 50 μl of each sample was pooled into one tube.


For preparation of the input genomic DNA of each mutant library, 200 ml of the mutant pool was spread on YPD plate, incubated at 30° C. for 3 days, and scraped. For preparation of the output genomic DNA samples, 50 μl of the mutant pool (5×105 cells per mouse) was infected into seven-week-old female A/J mice (Japan SLC, Inc.) through intravenous (into the tail vein) or intracerebroventricular (ICV) injection. The intravenous injection was performed in warm (40° C.) water for stimulating the expansion of the tail vein and the mice were immobilized with restraint devices. For ICV injection, mice were anaesthetised with 2% tribromoethanol (20 ml/kg, by intraperitoneal injection, Sigma Aldrich) and placed on a stereotaxic device (David Kopf Instruments). The control strain and mutant pool were injected into the ventricle (anteroposterior, −0.2 mm; lateral, −1.0 mm; ventral −2.0 mm) using a NanoFil needle (WPI) with Hamilton syringe and pump (WPI). The infected mice were sacrificed 7 days after infection and their brains were harvested. The brains were homogenised in 4 ml PBS, and then 200 μl of the samples was spread onto the YPD plates containing 100 mg per ml-′ of chloramphenicol, incubated at 30° C. for 2 days, and scraped. Total genomic DNA was extracted from scraped input and output samples by the cetrimonium bromide (CTAB) method.


Quantitative PCR was performed with the tag-specific primers, using CFX96™ Real-Time PCR detection system (Bio-Rad), and then the STM score was calculated. Relative changes in genomic DNA amounts were calculated by the 2−ΔΔCT method to determine the STM score. The mean fold-changes in input versus output samples were calculated in Log score (Log22−(Ct,Target−Ct,Actin)output−(Ct,Target−Ct,Actin)input)). Two independent mutants were identified for each kinase and transcription factor.


Using the same method, two independent mutants were identified for kinases and transcription factors using lungs harvested from intranasally infected mice (14 days after infection), and then brain-STM scores and lung-STM scores were compared.


As a result, regarding kinases, the 34 kinases that were found to be required for both the lung and brain infections were defined as core-virulence kinases. The core-virulence kinases include: Pka1 in the cAMP signaling pathway, Ssk2 and Hog1 in the high osmolarity glycerol response (HOG) pathway, Bck1 and Mpk1 in the cell wall integrity MAPK pathway, Ire1 in the unfolded protein response (UPR) pathway, Vps15 in the vacuole-trafficking pathway, Snf1 and Gal83 in the carbon utilisation pathway, Bud32 in the KEOPS/EKC complex, Ypk1, Gsk3, and Ipk1 in the TOR (Target of Rapamycin) pathway. Except for these known proteins, the core virulence kinases identified Irk2 and Irk5, whose functions in vivo are not evident. Irk2 and Irk5 belong to the families of APH phosphotransferases, diacylglycerol phosphatase-like kinase and AGC/YANK protein kinase, respectively. Deletion of IRKS significantly reduces melanin production, but dramatically enhances capsule production, indicating that defective melanin formation may be attributable to the role of Irk5 in virulence (FIG. 2).


In addition, in the case of transcription factors, a total of 9 transcription factors were found to be required for both lung and brain infections and here defined as core virulence transcription factors. It was identified that the core virulence transcription factors include Sre1 and Hob1 in the sterol biosynthesis pathway, and Gat201 and Nrg1 in the capsule biosynthetic pathway. In addition, Pdr802, Fzc1, Fzc9 and Fzc31, which all contain the fungal specific Zn2Cys6 DNA binding domain, were also identified as core-virulence transcription factors. Specifically, deletion of FZC1 reduced the growth at 39° C. (but not at 37° C.) and mating capacity but increased capsule and melanin production. Deletion of FZC9 reduced mating and resistance to hydrogen peroxide. Deletion of FZC31 reduced the growth under high temperature and oxidative stresses and mating capacity but increased melanin production.


From the above results, deletion of kinase genes resulted in more dramatic changes in both the lung and brain-STM scores than deletion of transcription factor genes did, because kinases generally function upstream of transcription factors in signaling pathways. These results indicate that redundant and distinct signaling components are involved in different cryptococcal infection stages.


Experimental Example 2. In Vivo Gene Expression Profiling of Cryptococcus neoformans Infection-Related Virulence Genes, Kinases and Transcription Factors

To analyze the infection stage-dependent signaling pathway, NanoString nCounter-based in vivo transcription analysis was performed for 58 virulence-related factors, 180 transcription factors, and 183 kinases.


First, mice were intranasally infected with the Cryptococcus Neoformans H99 strain and infected lung, brain, kidney, and spleen tissues were harvested 3, 7, 14, and 21 days after infection. Total hosts and pathogen RNAs were isolated from each infected tissue and used for NanoString assays. Pathogen-specific mRNA transcripts were used to quantitate pathogen-specific mRNA transcripts using designed probes by normalization with average expression levels of eight housekeeping genes. In vivo expression levels of each target gene at different tissues and days of infection were compared to their in vitro expression levels under basal growth conditions [yeast extract-peptone-dextrose (YPD) medium at 30° C.].


Specifically, six-week-old female A/J mice were infected with 5×105 cells through nasal inhalation. After 3, 7, 14 or 21 days of infection, the lungs, brains, spleens and kidneys of 3 mice from each group were removed and lyophilized. Dried organs were homogenised and total RNA was extracted (from basal samples grown in YPD medium) by using total RNA extraction kit (easy-BLUE, Intron Biotechnology). Samples containing 10 ng of total RNA isolated from C. neoformans (from basal samples grown in YPD medium) or 10 μg of total RNA isolated from C. neoformans-infected mouse tissues were reacted with the designed probe code set designed according to the manufacturer's standard protocol.


A total of eight housekeeping genes were used for expression normalisation (mitochondrial protein, CNAG_00279; microtubule binding protein, CNAG_00816; aldose reductase, CNAG_02722; cofilin, CNAG_02991; actin, CNAG_00483; tubulin β chain, CNAG_01840; tubulin α-1A chain, CNAG_03787; histone H3, CNAG_04828). The normalised data was transformed to log2 score to express the fold change and subject to clustering using one minus Pearson correlation with average linkage by Morpheus (https://software.broadinstitute.org/morpheus).


As a result, it was identified how 58 cell virulence-related genes are differentially regulated. Genes involved in metal ion sensing and uptake, such as CIG1 and CFO1, were highly upregulated at different tissues at all infection stages, identifying that CIG1 and CFO1 are essential for virulence of Cryptococcus neoformans. In addition, it was identified that the copper regulon genes such as CnMT1/2 (metallothioneins) and CTR4 (copper transporter) were also highly upregulated at all infected tissues from the early to the late infection stages. In addition, genes involved in the production of two major virulence factors, melanin (LAC1) and capsule (CAP10, CAP59, CAP60, CAP64), were differentially regulated during infection. Notably, it was identified that in vivo expression levels of LAC1 increased during 3 to 14 days and decreased at 21 day, suggesting that the conditions for induction of LAC1 are more favorable for haematogenous dissemination. CAP10, CAP59, CAP60 and CAP64 showed low overall expression levels, but only weakly increased expression in the lungs for 7 to 21 days.


In addition, the in vivo transcription profiling analysis of kinases and transcription factors revealed the expression patterns of 183 kinases and 180 transcription factors during the whole infection process. Reflecting that the lungs are the initial infection sites for C. neoformans, expression of a large number of kinases and TF genes were induced in the lungs, particularly after 14 days. It was identified that there were no genes specifically expressed in tissues other than the lung, and some genes exhibited high or low expression levels throughout the infection stage. In other words, it was identified that most genes involved in pathogenicity were generally highly expressed in vivo.


Experimental Example 3. Identification of Transcription Factors and Kinases Required for Adhesion and Passage Through the BBB

Since the brain is a lethal target tissue for Cryptococcus neoformans infection, the following experiment was performed focusing on transcription factor and kinase STM mutants that are specifically defective in brain infection. Unlike the lung-STM scores, the brain-STM scores were 12 and 10, respectively, for kinases and transcription factors showing a particularly low tendency, as shown in Table 3 below.















TABLE 3










S.

nasal inhalation
IV
ICV
BBB
















cerevisiae


Lung
brain
brain
brain
passage


Type
orthologue
Explanation
STM
STM
STM
STM
rate










Kinase


Nutrient sensing/biosynthesis/glycolysis














Tlk1
Tor1/Tor2
Phosphatidylinositol 3-kinase has 57%
1.19
3.95
17.97*
12.82*
1.06




similarity to ScTor1


Pro1
Pro1
Glutamate 5-kinase and ScPro1 are
−1.30
2.71
10.12*
1.25
ND




involved in proline biosynthesis







Vacuolar trafficking/ER membrane assembly














Yfh701
Yfh7
P-loop kinase/Phosphoribulokinase/Uridine
0.39
4.90*
5.64*
1.32
0.50*




kinase family, and ScYfh7 are involved in




ER membrane assembly







Fungal cell wall integrity














Pkh201

Serine/threonine protein kinase; With 28%
1.03
−5.35
−.61*
−6.16*
0.57*




similarity to ScPkh2. ScPkh2 is involved




in sphingolipid-mediated signaling




pathways that control endocytosis by




regulating lysosome assembly and tissues







Cell growth and proliferation/developmental process














Cka1
Cka1/Cka2
Alpha subunit of casein kinase 2 (CK2);
1.93
5.08*
5.90*
0.70
ND




serine/threonine protein kinase; Involved in




cell growth and proliferation


Alk1
Alk1
Haspin protein kinase and ScAlk1 are
2.61
4.36*
7.30*
−5.74*
0.39*




phosphorylated in response to DNA damage


Crk1
Ime2
CMGC/RCK protein kinase involved in the
0.39
−2.68
12.24*
11.47*
1.12




binding process







Stress response/HOG MAPK cascade














Pbs2
Pbs2
STE/STE7 protein kinase involved in the
1.90
2.20*
6.25*
−1.08
0.47*




HOG pathway







tRNA modification














Trm7
Trm7
CAMK protein kinase and ScTrm7 are Trna
0.36
−4.17
14.40*
11.69*
0.96




methyl transferases


Cex1
Cex1
SCYL protein kinase and ScCex1 are
−1.40
−3.56
4.93*
0.48
0.12*




components of the tRNA export pathway







Double-stranded RNA replication














Mak3201
Mak32
PfkB family carbohydrate kinases
−1.37
−3.06
11.53*
10.24*
1.15







Unknown functions














Abc1

Atypical/ABC1 protein kinase
−1.95
−5.59
15.68*
−1.94
0.85







Transcription factor (TF)


Nutrient sensing/metabolism pathway














Hap2
Hap2
ScHap2 is a subunit of the CCAAT-binding
−0.15
0.29
−5.54*
14.82*
0.24*




complex that inhibits heme activation and




glucose


Sp1(Crz1)
Crz1
Downstream of the Calcineurin pathway;
−0.49
−0.75
−2.26*
1.33
1.25




Involved in toxicity, cell wall




integrity/membrane stability in C.





neoformans








Stress response/fungal infectivity














Ada2
Ada2
SAGA complex that regulates histone
1.45
−3.84*
−3.86*
17.39*
0.29*




acetylation; related to toxicity of C.





neoformans



Atf1
Sko1
bZIP transcription factor; Involved in
−0.90
2.88*
−8.10*
1.22
0.81




osmotic and oxidative stress responses in C.





neoformans








Ribosome biogenesis














Jjj1
Jjj1
DNAJ-like cochaperone; U1 snRNA-type
−0.73
−1.25
−6.94*
−1.24
0.41*




Zn finger function in 60S ribosomal subunit




biogenesis; related to toxicity of C.





neoformans








Phosphate sensing and acquisition














Pho4/Hlh3

TF, a helix-loop-helix DNA-binding
−0.51
−0.97
−2.53*
0.64
0.53*




domain, and Pho4 are involved in




phosphate uptake and stress tolerance at




alkaline pH and is essential for C.





neoformans propagation in the host brain








Unknown functions














Bzp2

DNA-binding (glucocorticoid receptor-like;
1.29
1.99
−4.56*
14.82*
ND




base region leucine zipper; GATA zinc




finger)


Zfc3

TF, C2H2-type zinc finger
0.44
−8.43*
−3.83*
14.41*
1.27


Stb4

TF, fungal(2)-Cys(6) binuclear cluster
0.67
0.49
−6.77*
−0.05
0.95




domain


Hob5

TF, homeo domain-like; helix-turn-helix
−1.36
ND
−4.32*
1.45
0.83




domain





*ND: Among the undetermined causes of growth defects in deletion mutants at human temperature, it was identified whether brain-STM score changes occurred during haematogenous dissemination, and only the pho4Δ mutant exhibited serum-specific growth defects. It was hypothesized that some of the remaining mutants may be involved in passage through the brain-blood barrier covering the brain. In order identify whether these 12 kinases and 10 transcription factors are essential for adhesion and passage through the brain-blood barrier, experiments were performed using the BBB system in vitro.






In addition, there are 34 kinases and 9 transcription factors that tend to be low in both brain-STM scores and lung-STM scores, respectively, as shown in Table 4 below.















TABLE 4










S.

nasal inhalation
IV
ICV
BBB
















cerevisiae


Lung
brain
brain
Lung
passage


Type
orthologue
Explanation
STM
STM
STM
STM
rate










kinase


Nutrient sensing/biosynthesis/glycolysis














Yck2
Yck1/2
Casein Kinase I (CK1) homologue; ScYck1
11.18*
13.19*
13.23*
19.12*
ND




functions in intracellular transport and




glucose sensing


Arg5, 6
Arg5, 6
Acetylglutamate kinase; ScArg5, 6 is the
−3.05*
−8.32*
−8.24*
18.25*
ND




third stage in the biosynthesis of organan


Met3
Met3
ScMet3 catalyzes the first stage of
−5.27*
−9.71*
−7.47*
17.55*
0.13*




intracellular sulfate activation involved in




methionine metabolism


Gal83
Gal83
Beta-subunit of Snf1 kinase complex;
12.37*
13.95*
10.85*
17.14*
0.40*




ScGal83 is involved in galactose




metabolism


Urk1
Urk1
Uridine/cytidine kinase; ScUrk1 is involved
−7.51*
11.19*
−5.91*
15.69*
0.41*




in the pyrimidine ribonucleotide salvage




pathway


Yak1
Yak1
ScYak1 is a serine/threonine protein kinase
−6.86*
−9.83*
−7.39*
14.62*
0.87




that is a component of the glucose-sensing




system


Snf1
Snf1
ScSnf1 is an AMP-activated
−8.32*
16.80*
−7.71*
13.08*
0.27*




serine/threonine protein kinase involved in




alternative carbon source utilization


Fbp26
Fbp26
ScFbp26 is fructose-2,6-bisphosphatase
−4.46*
−8.63*
−6.43*
12.70*
ND




required for glucose metabolism







Cell cycle/Spindle checkpoint














Mps1
Mps1
ScMps1 is a dual specificity kinase required
−6.17*
−6.20*
−8.76*
15.65*
ND




for spindle checkpoint function


Hsl101
Hsl1
ScHsl1 is a septin-binding kinase located in
−6.54*
12.24*
−9.07*
15.57*
0.23*




the bud neck septin loop and regulating the




morphogenesis checkpoint


Mec1
Mec1
ScMec1 is a member of the genomic
−7.59*
−9.87*
−5.04*
11.01*
ND




integrity checkpoint protein and PI kinase




superfamily required for cell cycle arrest


Swe102

The ScSwe1 protein regulates the G2/M
−4.80*
−8.93*
11.68*
−6.97*
ND




transition; Positive regulator of




sphingolipid biosynthesis through Orm2p


Cdc7
Cdc7
ScCdc7 is a catalytic subunit of the
−5.43*
−5.98*
−8.15*

ND




serine/threonine kinase and DDK (Dbf4-




dependent kinase) complex for




kinetochores during meiosis I. Null mutants




are inevitable


Gsk3
Rim11/Mrk1
Gsk3 is a CMGC/GSK protein kinase
12.22*
10.23*
10.30*

ND




involved in normal growth and virulence in





C. neoformans








Fungal cell wall/membrane integrity














Kic1
Kic1
Kic1 is a component of the RAM pathway
11.09*
15.83*
−6.56*
15.34*
ND




involved in cell polarity, morphogenesis




and cell integrity


Mpk1
Mpk1
Mpk1 is a MAPK in the PKC1-mediated
−6.89*
10.35*
11.46*
15.75*
ND




signaling pathway involved in cell wall




biosynthesis and regulation


Bck1
Bck1
Bck1 is a MAPKKK in the PKC1-mediated
13.94*
15.12*
−9.94*
13.64*
ND




signaling pathway involved in cell integrity


Ypk1
Ypk1/Ypk2
ScYpk1 is a serine/threonine protein kinase
−9.74*
−8.58*
16.48*

ND




that down-regulates ScFpk1, a flippase




activator; Involved in TORC-dependent




phosphorylation. The ypk1Δ mutant




exhibits strongly defective melanogenesis




and non-toxicity in a murine Cryptococcus




model







Phospholipid metabolism














Pkh202/Pdk1
Pkh1/Pkh2
Pdk1 is a serine/threonine kinase; Involved
−2.74*
−8.51*
−4.78*
−3.71
ND




in fluconazole resistance through Pkc1 and




Ypk1 by regulating sphingolipid




homeostasis


Pka1
Tpk2/Tpk3
Pka1 is involved in inositol and
−7.55*
12.83*
−7.65*
−5.20
1.15




phospholipid metabolism and continuous




capsule production







Stress response/HOG MAPK cascade














Hog1
Hog1
Involved in HOG hyperosmolar glycerol
−5.60*
−8.67*
−6.14*
−7.31*
0.90




pathway MAPK response to osmotic stress


Dak101
Dak1/Dak2
ScDak1 is a dihydroxyacetone kinase;
−2.67*
−1.63
−3.14*

0.97




Necessary for detoxification of




dihydroxyacetone (DHA); Involved in




stress adaptation


Ssk2
Ssk2
HOG pathway MAPKKK(Ssk2 MAPKKK-
−4.01*
−8.24*
−5.66*
4.38*
0.97




Pbs2 MAPKK-Hog1 MAPK)







Redox reactions














Utr1
Utr1
ATP-NADH kinase; Involved in
−3.98*
−4.31*
−4.92*
13.47*
ND




phosphorylation of NAD and NADH


Pos5
Pos5
Involved in NADH phosphorylation, and
−6.71*
11.74*
−5.17*
11.11*
ND




mitochondrial NADH kinase







Ribosome biogenesis/ribosomal RNA processing














Sch9
Sch9
ScSch9 is involved in the regulation of
−2.25*
−8.78*
10.35*
−1.72
0.34*




sphingolipid biosynthesis. Sch9 regulates




heat sensitivity in C. neoformans


Vrk1

1-phosphatidylinositol-3-phosphate 5-
−4.72*
12.93*
−9.50*
12.46*
0.38*




kinase; Translation and ribosomal RNA




processing







Unfolded protein response














Ire1
Ire1
Ire1 is a serine/threonine protein kinase that
10.92*
−4.19*
−4.85*
−4.77*
ND




mediates unfolded protein responses and is




important for virulence in C. neoformans


Kin1
Kin1
Polarized exocytosis; ScKin1 is involved in
−2.38*
−9.27*
−2.75*
16.95*
1.02




Ire1p-mediated protein responses







Inositol polyphosphate biosynthetic process














Ipk1

Inositol 1,3,4,5,6-pentakisphosphate 2-
−7.90*
10.21*
−4.34*
−9.93*
ND




kinase; a nuclear protein required for the




synthesis of 1,2,3,4,5,6-




hexakisphosphate (phytate)







Protein sorting














Vps15
Vps15
ScVps15 is a serine/threonine protein
−9.00*
10.55*
11.04*

ND




kinase involved in vacuum protein




classification







tRNA modification














Bud32
Bud32
ScBud32 is a serine/threonine protein
−3.38*
15.65*
−7.08*
14.06*
ND




kinase involved in vacuum protein




classification







Unknown functions














Irk2

Infection-related kinase 2
−6.40*
−3.05*
−5.54*
13.83*
0.48*


Irk5

Infection-related kinase 5
−3.61*
−7.76*
−7.32*
0.68
0.35*







Transcription factor (TF)


Nutrient sensing














Nrg1
Nrg1
ScNrg1 is involved in glucose inhibition;
−6.73*
−8.56*
−4.01*
−9.26*
ND




Involved in filamentous growth and




alkaline pH response







Fatty acid and spingolipid biosynthesis














Sre1

Sterol regulatory element-binding protein;
−4.64*
10.23*
12.70*
17.10*
0.07*




Involved in melanin and toxicity in C.





neoformans



Hob1

Homeobox domain included
−5.34*
−9.36*
−4.91*
−7.64*
0.38*







Virulence factor regulation














Gat201

GATA-family zinc finger DNA-binding
11.13*
−5.67*
−5.13*
12.52*
1.26




transcriptional regulators; Involved in




capsule and melanogenesis, capsule-




independent antiphagocytic function and




toxicity in C. neoformans







Unfolded protein response














Bzp1(Hxl1)

Transcription factor downstream of Ire1 in
−6.82*
−7.44*
11.09*
−2.80
ND




the unfolded protein response; Essential for




toxicity in C. neoformans







Unknown functions














Fzc1

Fungal Zn(2)-Cys(6) is a transcription
−5.37*

−8.09*
−0.51
0.28*




factor with a binuclear cluster domain


Fzc9

Fungal Zn(2)-Cys(6) is a transcription
−3.86*
−6.42*
−9.06*
−1.09
0.14*




factor with a binuclear cluster domain


Fzc31

Fungal Zn(2)-Cys(6) is a transcription
−4.33*
11.23*
−7.02*
−4.53
1.16




factor with a binuclear cluster domain


Pdr802

Fungal Zn(2)-Cys(6) is a transcription
−7.21*
19.38*
11.84*
19.14*
0.23*




factor with a binuclear cluster domain





*ND: The undetermined causes of growth defects in deletion mutants at human temperature






3-1. Validation of the In Vitro BBB System


First, to verify the in vitro BBB system, in order to compare the brain-blood barrier passage ability of Cryptococcus neoformans (Cryptococcus neoformans H99 strain), avirulent Saccharomyces cerevisiae (Saccharomyces cerevisiae S288C) and the mpr1Δ mutant independently constructed in the present invention, after incubating the strain for 24 hours, it was identified whether it could pass through the brain-blood barrier.


As a result, about 10% of the wild-type Cryptococcus neoformans were able to pass through the brain-blood barrier. In contrast, S. cerevisiae (S288C) did not pass through the brain-blood barrier at all and the mpr1Δ mutant barely passed through the brain-blood barrier (FIG. 5A). In addition, as a result of trans-endothelial electrical resistance (TEER) measurement, any significant change was not found, further verifying that the tight junction joining neighboring HBMECs was not affected during the brain-blood barrier passage of Cryptococcus neoformans cells.


These results suggest that the in vitro BBB system works as expected.


3-2. Identification of Transcription Factors and Kinases Required for Adhesion and Passage Through Brain-Blood Barrier Using In Vitro BBB System


After validating and establishing the BBB system as above, the following experiments were performed to identify key toxic kinases and transcription factors in the signaling pathway of 10 transcription factors related to brain infection selected in passage through the brain-blood barrier, 12 kinase mutants and 9 transcription factors identified as important for both brain and lung infections, and CEX1, ALK1, PBS2, YFH701, PKH201, ABC1, TRM7, TLK1, MAK3201, CRK1, HAP2, ADA2, JJJ1, PHO4, ATF1, HOBS, STB4, CRZ1, ZFC3, MET3, HSL101, SNF1, SCH9, IRKS, VRK1, GAL83, URK1, IRK2, YAK1, HOG1, SSK2, DAK101, KIN1, PKA1, SRE1, FZC9, PDR802, FZC1, HOB1, FZC31 and GAT201 gene mutated strains except for defective signaling pathways in growth at 37° C. among 34 kinases, through a transwell-based in vitro BBB system. Human brain microvascular endothelial cells (HBMECs) on transwells separating the upper compartment of the blood region and the lower compartment of the brain region were used for BBB screening.


First, for endothelial cell line culture, hCMECM/D3 cells were seeded on collagen coated 8 μm porous membranes (BD Falcon) or 12-well plates (BD Falcon) at a density of 5×104 cells/mL and maintained in EGM™-2 (Longa). The day after seeding, medium was replaced with 2.5% human serum, and cultured for 4 days. 24 hours before culturing, the medium was replaced with 0.5×diluted medium and the cells were maintained at 37° C. and 5% CO2 (transendothelial electrical resistance (TEER) around 200 S2/cm2).


For in vitro BBB screening, 5×105 cells of Cryptococcus neoformans WT, deletion mutants, or S. cerevisiae strains were added to 500 μl of PBS and inoculated onto the top of the porous membrane. After 24 hours of incubation at 37° C. in CO2 incubator, the number of cells passing through the membrane was measured by counting CFU. For adhesion assays, the inoculated 24-h culture dishes were washed three times with PBS and reacted with sterile distilled water for 30 minutes in a 37° C. incubator to burst and collect hCMEC/D3 cells. The degree of brain-blood barrier migration or endothelial cell adhesion was calculated at a ratio of CFU to the output WT. TEER was measured by using an EVOM2 device (World Precision Instruments) before and after inoculation of yeast cells.


As a result, it was identified that a total of 5 kinases (Cex1, Alk1, Pbs2, Yfh701, and Pkh201) and 4 transcription factors (Ada2, Hap2, Pho4/Hlh3, and Jjj1) were required for the brain-blood barrier passage (FIG. 5B). Moreover, the capability of the brain-blood barrier passage defective 5 kinases and 4 TF mutants to adhere to the monolayer of HBMECs was identified. It was identified that most mutants except jjj1Δ, yfh701Δ, ada2Δ, and pho4Δ mutants showed reduced adhesion to HBMECs (FIG. 6A).


In addition, Sre1 and Hob1 in the sterol biosynthesis pathway, Sch9 in the TOR pathway, Met3 in the sulphur assimilation pathway, Snf1 and Gal83 in the carbon utilisation pathway, and Vrk1 in ribosome biogenesis pathway were identified to promote brain-blood barrier passage of Cryptococcus neoformans (FIG. 5C), and Hsl101, Irk2, Irk5, Urk1, Fzc1, Fzc9 and Pdr802 were also identified to be critical for brain-blood barrier passage. Furthermore, the met3Δ, snf1Δ, vrk1Δ, ga183Δ, hsl101Δ, irk2Δ, sre1Δ, fzc9Δ, hob1Δ, pdr802Δ, and fzc1 Δ mutants showed reduced adhesion to the monolayer of HBMECs (FIG. 6B).


These results suggest that the adhesion of host cells is critical in the efficient brain-blood barrier passage of Cryptococcus neoformans, and that Cryptococcus neoformans employs complex signaling networks involved in a variety of biological processes to pass through the brain-blood barrier.


3.3. Identification of in vivo Transcription Profiling Analysis of Transcription Factors and Kinases Required for Brain-Blood Barrier Adhesion and Passage


The determination of whether the transcription factors and kinases identified in Experimental Example 3-2 are specifically regulated only in the brain was identified using the NanoString nCounter-based in vivo transcription analysis of Experimental Example 2 above.


As a result, it was identified that most of these genes were upregulated in the lungs at the later stage of infection. Particularly in vivo expression of PDR802, SRE1, VRK1, PKH201, and YFH701 was strongly induced in all infected tissues tested during almost all infection stages. In contrast, regardless of the critical roles of Cex1 and Met3 in BBB passage and adhesion to HBMECs, their in vivo expression levels were not strongly induced at all infection stages and in all tissues.


Experimental Example 4. Identification of Kinases and Transcription Factors Required for Survival of Cryptococcus Neoformans Inside Brain

To elucidate why some kinases and transcription factors were normal in haematogenous dissemination and passing through the brain-blood barrier, but still showed changes in brain-STM score, an experiment was performed to monitor the capability of the transcription factors and kinase mutants of low brain-STM scores for proliferation inside the brain.


4-1. Identification of Transcription Factors and Kinase Mutants of Low Brain-SIM Scores


First, a new intracerebroventricular (ICV) injection method was established to infect the mouse brain with Cryptococcus neoformans by bypassing the brain-blood barrier (FIG. 8). Once a group of mice was infected with the high/low brain-STM transcription factors and kinase mutants by ICV injection, mutants were harvested from the infected brain after 6 dpi and assessed the STM score by qPCR (hereinafter, abbreviated as ICV-STM score).


As a result, it was found that strains with mutated 6 kinases (TLK1, TRM7, CRK1, MAK3201, PKH201, or ALK1) and 4 transcription factors (ADA2, BZP2, ZFC3, or HAP2 gene) displayed significantly reduced ICV-STM score (FIG. 9).


Therefrom, it was identified that 2 kinases (Pkh201 and Alk1) and 2 transcription factors (Ada2 and Hap2) were required for both brain-blood barrier passage and survival inside the brain, whereas the kinases and transcription factors that were required for brain-blood barrier passage (Cex1, Pbs2, Yfh701, Pho4, and Jjj1) were dispensable for proliferation inside the brain.


In addition, 4 kinases (Tlk1, Trm7, Crk1, and Mak3201) and a single transcription factor (Zfc3) were uniquely involved in proliferation inside the brain, but not in brain-blood barrier passage.


4-2. Identification of Additional Kinases and Transcription Factors Required for Proliferation of Cryptococcus Neoformans Inside Brain


To identify other kinases and transcription factors functionally related to those required for the proliferation of Cryptococcus neoformans inside the brain, ICV-STM scores for key virulence kinases and transcription factor mutants were identified.


As a result, most kinase and transcription factor mutants that were defective in growth at 37° C. (yck2Δ, arg5/6Δ, mpk1Δ, mps1Δ, kic1Δ, bud32Δ, bck1Δ, utr1Δ, fbp26Δ, pos5Δ, mec1Δ, ipk1Δ, swe102Δ, and nrg1Δ) also showed reduced ICV-STM score. Among the core kinases and transcription factors that were required for brain-blood barrier passage, Irk2, Vrk1, Pdr802, Sre1, and Hob1 were also identified to be required for proliferation inside the brain (FIG. 9).


* hog1Δ mutant showed low ICV-STM score, indicating that Hog1 is not required for brain-blood barrier passage, but required for proliferation inside the brain. In contrast, Sch9, Irk5, Fzc1, and Fzc9 were dispensable for proliferation inside the brain. In addition, Snf1, Gal83, Kin1, Urk1, Hsl101, Yak1, Fbp26, Pos5, and Swe102 were identified to be involved in the proliferation of Cryptococcus neoformans inside the brain.


The above results suggest that Cryptococcus neoformans employs redundant and distinct sets of signaling pathways to pass through the brain-blood barrier and proliferate inside the brain parenchyma.


The above description is merely illustrative of the present invention, and one of ordinary skill in the art to which the present invention pertains should understand that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. Therefore, the embodiments described above are illustrative in all aspects and should not be understood as limiting. For example, each element described as having an integrated form may be embodied in a distributed manner, and likewise, elements which are described as being distributed may be embodied in an integrated form.


The scope of the present invention is defined by the claims below, and all modifications or modified forms derived from the meaning and scope of the claims and concepts equivalent thereto should be interpreted as belonging to the scope of the present invention.

Claims
  • 1. A method for screening a fungal brain-blood barrier (BBB) passage inhibitor, wherein the method includes: (a) contacting a sample to be analyzed with Cryptococcus neoformans cells containing any one or more proteins selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9, Ga183, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3, Sre1, Fzc1, Pdr802, Fzc9, Hob1, and Jjj1;(b) measuring an amount or activity of the protein; and(c) discriminating that the sample is a fungal BBB passage inhibitor when it is measured that the amount or activity of the protein is down-regulated in stage (b).
  • 2. The method of claim 1, wherein stages (a) and (b) are performed at 30° C. to 40° C.
  • 3. An antifungal composition including an inhibitor screened according to the method of claim.
  • 4. The antifungal composition of claim 3, wherein the inhibitor is any one or more of an antibody, a dominant-negative mutation, and a ribozyme against a protein involved in passage through the brain-blood barrier (BBB).
  • 5. The antifungal composition of claim 3, wherein the inhibitor is an antisense oligonucleotide, siRNA, shRNA, miRNA, or a vector containing the same for a gene encoding a protein involved in passage through the brain-blood barrier (BBB).
  • 6. A pharmaceutical composition for preventing, treating, or preventing and treating meningoencephalitis or cryptococcosis, wherein the composition includes an antifungal composition according to claim 3 as a pharmacologically active ingredient.
  • 7. The pharmaceutical composition of claim 6, further including an azole-based or non-azole-based antifungal agent.
  • 8. The pharmaceutical composition of claim 7, wherein the azole-based antifungal agent is one or more of fluconazole, itraconazole, voriconazole, and ketoconazole.
  • 9. The pharmaceutical composition of claim 7, wherein the non-azole-based antifungal agent is amphotericin B or fludioxonil.
  • 10. The antifungal composition of claim 3, wherein the composition is a cosmetic composition.
  • 11. A method for screening a bacterial or fungal brain-blood barrier passage inhibitor, wherein the method includes: treating a sample to be analyzed with any one or more proteins involved in passage through a brain-blood barrier selected from the group consisting of Cex1, Alk1, Pbs2, Yfh701, Pkh201, Met3, Hsl101, Snf1, Sch9; Irk5, Vrk1, Ga183, Urk1, Irk2, Ada2, Hap2, Pho4/Hlh3; Sre1, Fzc1, Fzc9, Hob1, and Jjj1; andanalyzing an amount or activity of any one or more of the proteins.
  • 12. An antifungal composition including an inhibitor screened according to the method of claim 11.
  • 13. The antifungal composition of claim 12, wherein the inhibitor is any one or more of an antibody, a dominant-negative mutation, and a ribozyme against a protein involved in passage through the brain-blood barrier (BBB).
  • 14. The antifungal composition of claim 12, wherein the inhibitor is an anti sense oligonucleotide, siRNA, shRNA, miRNA, or a vector containing the same for a gene encoding a protein involved in passage through the brain-blood barrier (BBB).
  • 15. A pharmaceutical composition for preventing, treating, or preventing and treating meningoencephalitis or cryptococcosis, wherein the composition includes an antifungal composition according to claim 12 as a pharmacologically active ingredient.
  • 16. The antifungal composition of claim 12, wherein the composition is a cosmetic composition.
Priority Claims (1)
Number Date Country Kind
10-2019-0114797 Sep 2019 KR national
CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a National Stage Entry of PCT/KR2020/012663, filed on Sep. 18, 2020, which claims priority from KR 10-2019-0114797, filed on Sep. 18, 2019.

PCT Information
Filing Document Filing Date Country Kind
PCT/KR2020/012663 9/18/2020 WO