Research Project
10217648
Project Summary Aberrant RNA base modifications have been correlated with the development of major diseases including breast cancer, type-2 diabetes, obesity, and neurological disorders, each affecting millions of Americans. However, these modifications are undetectable by current high-throughput RNA sequencing technologies, which do not directly sequence RNAs, but instead sequence cDNAs that only contain the four canonical deoxynucleotides. Other tools to sequence nucleobase modifications in RNA are usually tailored for a single specific modified nucleotide and cannot provide single-base-resolution spatial information for modifications. Thus, very few of the over 160 identified RNA modifications have been studied. To better understand RNA with its rich modifications, we have been developing a mass spectrometry (MS)-based 2-dimensional hydrophobic end-labeling sequencing strategy (2-D HELS MS Seq) as: 1) a de novo and accurate method to directly sequence RNA and 2) a general method to sequence all base modifications in any RNA type at single-base resolution. The method can currently sequence purified or mixed samples of short synthetic RNAs and simultaneously identify, locate, and quantify the frequency of a specific modification in a population. In this proposal, we focus on improving read-length, throughput, and sensitivity to sequence rare RNA modifications, quantify post-transcriptional base modifications, and detect active isoforms of mixed cellular RNA samples. We propose to (a) de novo MS sequence specific and total cellular tRNA (<100 nt) as proof-of-concept examples (Aim 1), (b) de novo sequence complex endogenous RNA samples (up to 100 strands, 950 nt per run) (Aim 2), and (c) quantify genome wide post- transcriptional RNA modifications in metabolic disease models (Aim 3). This project is highly significant as successful accomplishment of the proposed work will 1) bring the power of MS-based laddering technology to RNA, thus providing a method comparable to analysis of peptide modifications in proteomics, that can reveal the identity and position of various RNA modifications, 2) allow direct and de novo RNA sequencing without cDNA synthesis, and 3) allow accurate reading of multiple base modifications at single nucleotide resolution in one experiment without prior knowledge of sequences and modifications, helping to address a long-standing unmet need in the broad field of epitranscriptomics. Our tool will promote better understanding of functions of post- transcriptional modifications and isoforms including their correlations to human diseases; we will develop the method into a gold standard for verifying other techniques for sequencing and annotating genome-wide base modifications, thereby helping to build more accurate and inclusive reference epitranscriptomic databases.
