Cargando…

TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma

MicroRNAs (miRNAs) are small 21–22 nt RNAs that act to regulate the expression of mRNA target genes through direct binding to mRNA targets. While miRNAs typically dominate small RNA (sRNA) transcriptomes, many other classes are present including tRNAs, snoRNAs, snRNAs, Y-RNAs, piRNAs, and siRNAs. In...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Neill, Kathryn, Liao, Wen-Wei, Patel, Ami, Hammell, Molly Gale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186986/
https://www.ncbi.nlm.nih.gov/pubmed/30349559
http://dx.doi.org/10.3389/fgene.2018.00461
_version_ 1783362946087256064
author O’Neill, Kathryn
Liao, Wen-Wei
Patel, Ami
Hammell, Molly Gale
author_facet O’Neill, Kathryn
Liao, Wen-Wei
Patel, Ami
Hammell, Molly Gale
author_sort O’Neill, Kathryn
collection PubMed
description MicroRNAs (miRNAs) are small 21–22 nt RNAs that act to regulate the expression of mRNA target genes through direct binding to mRNA targets. While miRNAs typically dominate small RNA (sRNA) transcriptomes, many other classes are present including tRNAs, snoRNAs, snRNAs, Y-RNAs, piRNAs, and siRNAs. Interactions between processing machinery and targeting networks of these various sRNA classes remains unclear, largely because these sRNAs are typically analyzed separately. Here, we present TEsmall, a tool that allows for the simultaneous processing and analysis of sRNAs from each annotated class in a single integrated workflow. The pipeline begins with raw fastq reads and proceeds all the way to producing count tables formatted for differential expression analysis. Several interactive charts are also produced to look at overall distributions in length and annotation classes. We next applied the TEsmall pipeline to sRNA libraries generated from melanoma cells responding to targeted inhibitors of the MAPK pathway. Targeted oncogene inhibitors have emerged as way to tailor cancer therapies to the particular mutations present in a given tumor. While these targeted strategies are typically effective for short intervals, the emergence of resistance is extremely common, limiting the effectiveness of single-agent therapeutics and driving the need for a better understanding of resistance mechanisms. Using TEsmall, we identified several microRNAs and other sRNA classes that are enriched in inhibitor resistant melanoma cells in multiple melanoma cell lines and may be able to serve as markers of resistant populations more generally.
format Online
Article
Text
id pubmed-6186986
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-61869862018-10-22 TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma O’Neill, Kathryn Liao, Wen-Wei Patel, Ami Hammell, Molly Gale Front Genet Genetics MicroRNAs (miRNAs) are small 21–22 nt RNAs that act to regulate the expression of mRNA target genes through direct binding to mRNA targets. While miRNAs typically dominate small RNA (sRNA) transcriptomes, many other classes are present including tRNAs, snoRNAs, snRNAs, Y-RNAs, piRNAs, and siRNAs. Interactions between processing machinery and targeting networks of these various sRNA classes remains unclear, largely because these sRNAs are typically analyzed separately. Here, we present TEsmall, a tool that allows for the simultaneous processing and analysis of sRNAs from each annotated class in a single integrated workflow. The pipeline begins with raw fastq reads and proceeds all the way to producing count tables formatted for differential expression analysis. Several interactive charts are also produced to look at overall distributions in length and annotation classes. We next applied the TEsmall pipeline to sRNA libraries generated from melanoma cells responding to targeted inhibitors of the MAPK pathway. Targeted oncogene inhibitors have emerged as way to tailor cancer therapies to the particular mutations present in a given tumor. While these targeted strategies are typically effective for short intervals, the emergence of resistance is extremely common, limiting the effectiveness of single-agent therapeutics and driving the need for a better understanding of resistance mechanisms. Using TEsmall, we identified several microRNAs and other sRNA classes that are enriched in inhibitor resistant melanoma cells in multiple melanoma cell lines and may be able to serve as markers of resistant populations more generally. Frontiers Media S.A. 2018-10-05 /pmc/articles/PMC6186986/ /pubmed/30349559 http://dx.doi.org/10.3389/fgene.2018.00461 Text en Copyright © 2018 O’Neill, Liao, Patel and Hammell. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
O’Neill, Kathryn
Liao, Wen-Wei
Patel, Ami
Hammell, Molly Gale
TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
title TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
title_full TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
title_fullStr TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
title_full_unstemmed TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
title_short TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
title_sort tesmall identifies small rnas associated with targeted inhibitor resistance in melanoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186986/
https://www.ncbi.nlm.nih.gov/pubmed/30349559
http://dx.doi.org/10.3389/fgene.2018.00461
work_keys_str_mv AT oneillkathryn tesmallidentifiessmallrnasassociatedwithtargetedinhibitorresistanceinmelanoma
AT liaowenwei tesmallidentifiessmallrnasassociatedwithtargetedinhibitorresistanceinmelanoma
AT patelami tesmallidentifiessmallrnasassociatedwithtargetedinhibitorresistanceinmelanoma
AT hammellmollygale tesmallidentifiessmallrnasassociatedwithtargetedinhibitorresistanceinmelanoma