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SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling
Small proteins specifically refer to proteins consisting of less than 100 amino acids translated from small open reading frames (sORFs), which were usually missed in previous genome annotation. The significance of small proteins has been revealed in current years, along with the discovery of their d...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039559/ https://www.ncbi.nlm.nih.gov/pubmed/34536568 http://dx.doi.org/10.1016/j.gpb.2021.09.002 |
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author | Li, Yanyan Zhou, Honghong Chen, Xiaomin Zheng, Yu Kang, Quan Hao, Di Zhang, Lili Song, Tingrui Luo, Huaxia Hao, Yajing Chen, Runsheng Zhang, Peng He, Shunmin |
author_facet | Li, Yanyan Zhou, Honghong Chen, Xiaomin Zheng, Yu Kang, Quan Hao, Di Zhang, Lili Song, Tingrui Luo, Huaxia Hao, Yajing Chen, Runsheng Zhang, Peng He, Shunmin |
author_sort | Li, Yanyan |
collection | PubMed |
description | Small proteins specifically refer to proteins consisting of less than 100 amino acids translated from small open reading frames (sORFs), which were usually missed in previous genome annotation. The significance of small proteins has been revealed in current years, along with the discovery of their diverse functions. However, systematic annotation of small proteins is still insufficient. SmProt was specially developed to provide valuable information on small proteins for scientific community. Here we present the update of SmProt, which emphasizes reliability of translated sORFs, genetic variants in translated sORFs, disease-specific sORF translation events or sequences, and remarkably increased data volume. More components such as non-ATG translation initiation, function, and new sources are also included. SmProt incorporated 638,958 unique small proteins curated from 3,165,229 primary records, which were computationally predicted from 419 ribosome profiling (Ribo-seq) datasets or collected from literature and other sources from 370 cell lines or tissues in 8 species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Danio rerio, Saccharomyces cerevisiae, Caenorhabditis elegans, and Escherichia coli). In addition, small protein families identified from human microbiomes were also collected. All datasets in SmProt are free to access, and available for browse, search, and bulk downloads at http://bigdata.ibp.ac.cn/SmProt/. |
format | Online Article Text |
id | pubmed-9039559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90395592022-04-27 SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling Li, Yanyan Zhou, Honghong Chen, Xiaomin Zheng, Yu Kang, Quan Hao, Di Zhang, Lili Song, Tingrui Luo, Huaxia Hao, Yajing Chen, Runsheng Zhang, Peng He, Shunmin Genomics Proteomics Bioinformatics Database Small proteins specifically refer to proteins consisting of less than 100 amino acids translated from small open reading frames (sORFs), which were usually missed in previous genome annotation. The significance of small proteins has been revealed in current years, along with the discovery of their diverse functions. However, systematic annotation of small proteins is still insufficient. SmProt was specially developed to provide valuable information on small proteins for scientific community. Here we present the update of SmProt, which emphasizes reliability of translated sORFs, genetic variants in translated sORFs, disease-specific sORF translation events or sequences, and remarkably increased data volume. More components such as non-ATG translation initiation, function, and new sources are also included. SmProt incorporated 638,958 unique small proteins curated from 3,165,229 primary records, which were computationally predicted from 419 ribosome profiling (Ribo-seq) datasets or collected from literature and other sources from 370 cell lines or tissues in 8 species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Danio rerio, Saccharomyces cerevisiae, Caenorhabditis elegans, and Escherichia coli). In addition, small protein families identified from human microbiomes were also collected. All datasets in SmProt are free to access, and available for browse, search, and bulk downloads at http://bigdata.ibp.ac.cn/SmProt/. Elsevier 2021-08 2021-09-15 /pmc/articles/PMC9039559/ /pubmed/34536568 http://dx.doi.org/10.1016/j.gpb.2021.09.002 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Database Li, Yanyan Zhou, Honghong Chen, Xiaomin Zheng, Yu Kang, Quan Hao, Di Zhang, Lili Song, Tingrui Luo, Huaxia Hao, Yajing Chen, Runsheng Zhang, Peng He, Shunmin SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling |
title | SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling |
title_full | SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling |
title_fullStr | SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling |
title_full_unstemmed | SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling |
title_short | SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling |
title_sort | smprot: a reliable repository with comprehensive annotation of small proteins identified from ribosome profiling |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039559/ https://www.ncbi.nlm.nih.gov/pubmed/34536568 http://dx.doi.org/10.1016/j.gpb.2021.09.002 |
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