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DOI | 10.1073/pnas.2014866118 |
Protein structure-based gene expression signatures | |
Rahman R.; Zatorski N.; Hansen J.; Xiong Y.; Van Hasselt J.G.C.; Sobie E.A.; Birtwistle M.R.; Azeloglu E.U.; Iyengar R.; Schlessinger A. | |
发表日期 | 2021 |
ISSN | 0027-8424 |
卷号 | 118期号:19 |
英文摘要 | Gene expression signatures (GES) connect phenotypes to differential messenger RNA (mRNA) expression of genes, providing a powerful approach to define cellular identity, function, and the effects of perturbations. The use of GES has suffered from vague assessment criteria and limited reproducibility. Because the structure of proteins defines the functional capability of genes, we hypothesized that enrichment of structural features could be a generalizable representation of gene sets. We derive structural gene expression signatures (sGES) using features from multiple levels of protein structure (e.g., domain and fold) encoded by the mRNAs in GES. Comprehensive analyses of data from the Genotype-Tissue Expression Project (GTEx), the all RNA-seq and ChIP-seq sample and signature search (ARCHS4) database, and mRNA expression of drug effects on cardiomyocytes show that sGES are useful for characterizing biological phenomena. sGES enable phenotypic characterization across experimental platforms, facilitates interoperability of expression datasets, and describe drug action on cells. © 2021 National Academy of Sciences. All rights reserved. |
英文关键词 | Gene expression signatures; Reproducibility; Structural bioinformatics |
语种 | 英语 |
scopus关键词 | messenger RNA; adult; Article; cardiac muscle cell; chromatin immunoprecipitation sequencing; controlled study; deep learning; functional genomics; gene expression; gene expression signature; genotype; human; human cell; phenotype; priority journal; protein domain; protein folding; protein structure; quantitative analysis; reproducibility; RNA sequence; sensitivity and specificity; transcriptomics |
来源期刊 | Proceedings of the National Academy of Sciences of the United States of America |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/238576 |
作者单位 | Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC 29634, United States; Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States |
推荐引用方式 GB/T 7714 | Rahman R.,Zatorski N.,Hansen J.,et al. Protein structure-based gene expression signatures[J],2021,118(19). |
APA | Rahman R..,Zatorski N..,Hansen J..,Xiong Y..,Van Hasselt J.G.C..,...&Schlessinger A..(2021).Protein structure-based gene expression signatures.Proceedings of the National Academy of Sciences of the United States of America,118(19). |
MLA | Rahman R.,et al."Protein structure-based gene expression signatures".Proceedings of the National Academy of Sciences of the United States of America 118.19(2021). |
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