Genetic compensation triggered by mutant mRNA degradation
Mohamed A. El-Brolosy,Zacharias Kontarakis,Andrea Rossi,Andrea Rossi,Carsten Kuenne,Stefan Günther,Nana Fukuda,Khrievono Kikhi,Giulia L. M. Boezio,Carter M. Takacs,Carter M. Takacs,Shih-Lei Lai,Shih-Lei Lai,Ryuichi Fukuda,Claudia Gerri,Claudia Gerri,Antonio J. Giraldez,Didier Y.R. Stainier +17 more
Reads0
Chats0
TLDR
Transcriptional adaptation, a genetic compensation process by which organisms respond to mutations by upregulating related genes, is triggered by mRNA decay and involves a sequence-dependent mechanism.Abstract:
Genetic robustness, or the ability of an organism to maintain fitness in the presence of harmful mutations, can be achieved via protein feedback loops. Previous work has suggested that organisms may also respond to mutations by transcriptional adaptation, a process by which related gene(s) are upregulated independently of protein feedback loops. However, the prevalence of transcriptional adaptation and its underlying molecular mechanisms are unknown. Here, by analysing several models of transcriptional adaptation in zebrafish and mouse, we uncover a requirement for mutant mRNA degradation. Alleles that fail to transcribe the mutated gene do not exhibit transcriptional adaptation, and these alleles give rise to more severe phenotypes than alleles displaying mutant mRNA decay. Transcriptome analysis in alleles displaying mutant mRNA decay reveals the upregulation of a substantial proportion of the genes that exhibit sequence similarity with the mutated gene's mRNA, suggesting a sequence-dependent mechanism. These findings have implications for our understanding of disease-causing mutations, and will help in the design of mutant alleles with minimal transcriptional adaptation-derived compensation.read more
Citations
More filters
Journal ArticleDOI
The mutational constraint spectrum quantified from variation in 141,456 humans
Konrad J. Karczewski,Laurent C. Francioli,Grace Tiao,Beryl B. Cummings,Jessica Alföldi,Qingbo Wang,Ryan L. Collins,Kristen M. Laricchia,Andrea Ganna,Daniel P. Birnbaum,Laura D. Gauthier,Harrison Brand,Matthew Solomonson,Nicholas A. Watts,Daniel R. Rhodes,Moriel Singer-Berk,Eleina M. England,Eleanor G. Seaby,Jack A. Kosmicki,Raymond K. Walters,Katherine Tashman,Yossi Farjoun,Eric Banks,Timothy Poterba,Arcturus Wang,Cotton Seed,Nicola Whiffin,Jessica X. Chong,Kaitlin E. Samocha,Emma Pierce-Hoffman,Zachary Zappala,Anne H. O’Donnell-Luria,Eric Vallabh Minikel,Ben Weisburd,Monkol Lek,James S. Ware,Christopher Vittal,Irina M. Armean,Louis Bergelson,Kristian Cibulskis,Kristen M. Connolly,Miguel Covarrubias,Stacey Donnelly,Steven Ferriera,Stacey Gabriel,Jeff Gentry,Namrata Gupta,Thibault Jeandet,Diane Kaplan,Christopher Llanwarne,Ruchi Munshi,Sam Novod,Nikelle Petrillo,David Roazen,Valentin Ruano-Rubio,Andrea Saltzman,Molly Schleicher,Jose Soto,Kathleen Tibbetts,Charlotte Tolonen,Gordon Wade,Michael E. Talkowski,Benjamin M. Neale,Mark J. Daly,Daniel G. MacArthur +64 more
TL;DR: A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.
Integrative Genomics Viewer
James T. Robinson,Helga Thorvaldsdottir,Wendy Winckler,Mitchell Guttman,Eric S. Lander,Eric S. Lander,Gad Getz,Jill P. Mesirov +7 more
TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Posted ContentDOI
Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes
Konrad J. Karczewski,Konrad J. Karczewski,Laurent C. Francioli,Laurent C. Francioli,Grace Tiao,Grace Tiao,Beryl B. Cummings,Beryl B. Cummings,Jessica Alföldi,Jessica Alföldi,Qingbo Wang,Qingbo Wang,Ryan L. Collins,Ryan L. Collins,Kristen M. Laricchia,Kristen M. Laricchia,Andrea Ganna,Andrea Ganna,Andrea Ganna,Daniel P. Birnbaum,Laura D. Gauthier,Harrison Brand,Harrison Brand,Matthew Solomonson,Matthew Solomonson,Nicholas A. Watts,Nicholas A. Watts,Daniel R. Rhodes,Moriel Singer-Berk,Eleanor G. Seaby,Eleanor G. Seaby,Jack A. Kosmicki,Jack A. Kosmicki,Raymond K. Walters,Raymond K. Walters,Katherine Tashman,Katherine Tashman,Yossi Farjoun,Eric Banks,Timothy Poterba,Timothy Poterba,Arcturus Wang,Arcturus Wang,Cotton Seed,Cotton Seed,Nicola Whiffin,Nicola Whiffin,Jessica X. Chong,Kaitlin E. Samocha,Emma Pierce-Hoffman,Zachary Zappala,Zachary Zappala,Anne H. O’Donnell-Luria,Anne H. O’Donnell-Luria,Anne H. O’Donnell-Luria,Eric Vallabh Minikel,Ben Weisburd,Monkol Lek,Monkol Lek,James S. Ware,James S. Ware,Christopher Vittal,Christopher Vittal,Irina M. Armean,Irina M. Armean,Irina M. Armean,Louis Bergelson,Kristian Cibulskis,Kristen M. Connolly,Miguel Covarrubias,Stacey Donnelly,Steven Ferriera,Stacey Gabriel,Jeff Gentry,Namrata Gupta,Thibault Jeandet,Diane Kaplan,Christopher Llanwarne,Ruchi Munshi,Sam Novod,Nikelle Petrillo,David Roazen,Valentin Ruano-Rubio,Andrea Saltzman,Molly Schleicher,Jose Soto,Kathleen Tibbetts,Charlotte Tolonen,Gordon Wade,Michael E. Talkowski,Michael E. Talkowski,Benjamin M. Neale,Benjamin M. Neale,Mark J. Daly,Daniel G. MacArthur,Daniel G. MacArthur +95 more
TL;DR: Using an improved human mutation rate model, human protein-coding genes are classified along a spectrum representing tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve gene discovery power for both common and rare diseases.
Journal ArticleDOI
CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing
Kornel Labun,Tessa G. Montague,Maximilian Krause,Yamila N. Torres Cleuren,Håkon Tjeldnes,Eivind Valen +5 more
TL;DR: This major update of CHOPCHOP introduces functionality for targeting RNA with Cas13, which includes support for alternative transcript isoforms and RNA accessibility predictions, and incorporates new DNA targeting modes, including CRISPR activation/repression, targeted enrichment of loci for long-read sequencing, and prediction of Cas9 repair outcomes.
Journal Article
Genetic compensation induced by deleterious mutations but not gene knockdowns
TL;DR: In this article, the authors show that egfl7 mutants do not show any obvious phenotypes while animals injected with egfl 7 morpholino (morphants) exhibit severe vascular defects, indicating that the activation of a compensatory network to buffer against deleterious mutations was not observed after translational or transcriptional knockdown.
References
More filters
Journal ArticleDOI
Basic Local Alignment Search Tool
TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Journal ArticleDOI
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
Journal ArticleDOI
Trimmomatic: a flexible trimmer for Illumina sequence data
TL;DR: Timmomatic is developed as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data and is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested.
Journal ArticleDOI
STAR: ultrafast universal RNA-seq aligner
Alexander Dobin,Carrie A. Davis,Felix Schlesinger,Jorg Drenkow,Chris Zaleski,Sonali Jha,Philippe Batut,Mark Chaisson,Thomas R. Gingeras +8 more
TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
Journal ArticleDOI
BEDTools: a flexible suite of utilities for comparing genomic features
Aaron R. Quinlan,Ira M. Hall +1 more
TL;DR: A new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format, which allows the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks.