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SPOROS: A pipeline to analyze DISE/6mer seed toxicity

microRNAs (miRNAs) are (18-22nt long) noncoding short (s)RNAs that suppress gene expression by targeting the 3’ untranslated region of target mRNAs. This occurs through the seed sequence located in position 2-7/8 of the miRNA guide strand, once it is loaded into the RNA induced silencing complex (RI...

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Autores principales: Bartom, Elizabeth T., Kocherginsky, Masha, Paudel, Bidur, Vaidyanathan, Aparajitha, Haluck-Kangas, Ashley, Patel, Monal, O’Shea, Kaitlyn L., Murmann, Andrea E., Peter, Marcus E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004739/
https://www.ncbi.nlm.nih.gov/pubmed/35358200
http://dx.doi.org/10.1371/journal.pcbi.1010022
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author Bartom, Elizabeth T.
Kocherginsky, Masha
Paudel, Bidur
Vaidyanathan, Aparajitha
Haluck-Kangas, Ashley
Patel, Monal
O’Shea, Kaitlyn L.
Murmann, Andrea E.
Peter, Marcus E.
author_facet Bartom, Elizabeth T.
Kocherginsky, Masha
Paudel, Bidur
Vaidyanathan, Aparajitha
Haluck-Kangas, Ashley
Patel, Monal
O’Shea, Kaitlyn L.
Murmann, Andrea E.
Peter, Marcus E.
author_sort Bartom, Elizabeth T.
collection PubMed
description microRNAs (miRNAs) are (18-22nt long) noncoding short (s)RNAs that suppress gene expression by targeting the 3’ untranslated region of target mRNAs. This occurs through the seed sequence located in position 2-7/8 of the miRNA guide strand, once it is loaded into the RNA induced silencing complex (RISC). G-rich 6mer seed sequences can kill cells by targeting C-rich 6mer seed matches located in genes that are critical for cell survival. This results in induction of Death Induced by Survival gene Elimination (DISE), through a mechanism we have called 6mer seed toxicity. miRNAs are often quantified in cells by aligning the reads from small (sm)RNA sequencing to the genome. However, the analysis of any smRNA Seq data set for predicted 6mer seed toxicity requires an alternative workflow, solely based on the exact position 2–7 of any short (s)RNA that can enter the RISC. Therefore, we developed SPOROS, a semi-automated pipeline that produces multiple useful outputs to predict and compare 6mer seed toxicity of cellular sRNAs, regardless of their nature, between different samples. We provide two examples to illustrate the capabilities of SPOROS: Example one involves the analysis of RISC-bound sRNAs in a cancer cell line (either wild-type or two mutant lines unable to produce most miRNAs). Example two is based on a publicly available smRNA Seq data set from postmortem brains (either from normal or Alzheimer’s patients). Our methods (found at https://github.com/ebartom/SPOROS and at Code Ocean: https://doi.org/10.24433/CO.1732496.v1) are designed to be used to analyze a variety of smRNA Seq data in various normal and disease settings.
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spelling pubmed-90047392022-04-13 SPOROS: A pipeline to analyze DISE/6mer seed toxicity Bartom, Elizabeth T. Kocherginsky, Masha Paudel, Bidur Vaidyanathan, Aparajitha Haluck-Kangas, Ashley Patel, Monal O’Shea, Kaitlyn L. Murmann, Andrea E. Peter, Marcus E. PLoS Comput Biol Research Article microRNAs (miRNAs) are (18-22nt long) noncoding short (s)RNAs that suppress gene expression by targeting the 3’ untranslated region of target mRNAs. This occurs through the seed sequence located in position 2-7/8 of the miRNA guide strand, once it is loaded into the RNA induced silencing complex (RISC). G-rich 6mer seed sequences can kill cells by targeting C-rich 6mer seed matches located in genes that are critical for cell survival. This results in induction of Death Induced by Survival gene Elimination (DISE), through a mechanism we have called 6mer seed toxicity. miRNAs are often quantified in cells by aligning the reads from small (sm)RNA sequencing to the genome. However, the analysis of any smRNA Seq data set for predicted 6mer seed toxicity requires an alternative workflow, solely based on the exact position 2–7 of any short (s)RNA that can enter the RISC. Therefore, we developed SPOROS, a semi-automated pipeline that produces multiple useful outputs to predict and compare 6mer seed toxicity of cellular sRNAs, regardless of their nature, between different samples. We provide two examples to illustrate the capabilities of SPOROS: Example one involves the analysis of RISC-bound sRNAs in a cancer cell line (either wild-type or two mutant lines unable to produce most miRNAs). Example two is based on a publicly available smRNA Seq data set from postmortem brains (either from normal or Alzheimer’s patients). Our methods (found at https://github.com/ebartom/SPOROS and at Code Ocean: https://doi.org/10.24433/CO.1732496.v1) are designed to be used to analyze a variety of smRNA Seq data in various normal and disease settings. Public Library of Science 2022-03-31 /pmc/articles/PMC9004739/ /pubmed/35358200 http://dx.doi.org/10.1371/journal.pcbi.1010022 Text en © 2022 Bartom et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bartom, Elizabeth T.
Kocherginsky, Masha
Paudel, Bidur
Vaidyanathan, Aparajitha
Haluck-Kangas, Ashley
Patel, Monal
O’Shea, Kaitlyn L.
Murmann, Andrea E.
Peter, Marcus E.
SPOROS: A pipeline to analyze DISE/6mer seed toxicity
title SPOROS: A pipeline to analyze DISE/6mer seed toxicity
title_full SPOROS: A pipeline to analyze DISE/6mer seed toxicity
title_fullStr SPOROS: A pipeline to analyze DISE/6mer seed toxicity
title_full_unstemmed SPOROS: A pipeline to analyze DISE/6mer seed toxicity
title_short SPOROS: A pipeline to analyze DISE/6mer seed toxicity
title_sort sporos: a pipeline to analyze dise/6mer seed toxicity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004739/
https://www.ncbi.nlm.nih.gov/pubmed/35358200
http://dx.doi.org/10.1371/journal.pcbi.1010022
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