scholarly journals A stress response that allows highly mutated eukaryotic cells to survive and proliferate

2019 ◽  
Author(s):  
Rebecca A. Zabinsky ◽  
Jonathan Mares ◽  
Richard She ◽  
Michelle K. Zeman ◽  
Thomas R. Silvers ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Stress Response ◽  
Genetic Variants ◽  
Transcriptional Response ◽  
Eukaryotic Cells ◽  
Mutation Burden ◽  
The Cost ◽  
Expression Program ◽  
Similar Gene

ABSTRACTRapid mutation fuels the evolution of many cancers and pathogens. Much of the ensuing genetic variation is detrimental, but cells can survive by limiting the cost of accumulating mutation burden. We investigated this behavior by propagating hypermutating yeast lineages to create independent populations harboring thousands of distinct genetic variants. Mutation rate and spectrum remained unchanged throughout the experiment, yet lesions that arose early were more deleterious than those that arose later. Although the lineages shared no mutations in common, each mounted a similar transcriptional response to mutation burden. The proteins involved in this response formed a highly connected network that has not previously been identified. Inhibiting this response increased the cost of accumulated mutations, selectively killing highly mutated cells. A similar gene expression program exists in hypermutating human cancers and is linked to survival. Our data thus define a conserved stress response that buffers the cost of accumulating genetic lesions and further suggest that this network could be targeted therapeutically.

scholarly journals The dynamic effect of regulatory genetic variation on the in vivo ER stress transcriptional response

2021 ◽  
Author(s):  
Nikki D. Russell ◽  
Clement Y. Chow
Keyword(s):  
Genetic Variation ◽  
Stress Response ◽  
Er Stress ◽  
Transcriptional Response ◽  
Mouse Strains ◽  
Transcriptional Responses ◽  
Er Stress Response ◽  
Multiple Environments ◽  
Context Specific

AbstractGenotype x Environment (GxE) interactions occur when environmental conditions drastically change the effect of a genetic variant. In order to truly understand the effect of genetic variation, we need to incorporate multiple environments into our analyses. Many variants, under steady state conditions, may be silent or even have the opposite effect under stress conditions. This study uses an in vivo mouse model to investigate how the effect of genetic variation changes with tissue type and cellular stress. Endoplasmic reticulum (ER) stress occurs when misfolded proteins accumulate in the ER. This triggers the unfolded protein response (UPR), a large transcriptional response which attempts to return the cell to homeostasis. This transcriptional response, despite being a well conserved, basic cellular process, is highly variable across different genetic backgrounds, making it an ideal system to study GxE effects. In this study, we sought to better understand how genetic variation alters expression across tissues, in the presence and absence of ER stress. The use of different mouse strains and their F1s allow us to also identify context specific cis- and trans-regulatory mechanisms underlying variable transcriptional responses. We found hundreds of genes that respond to ER stress in a tissue- and/or genotype-dependent manner. Genotype-dependent ER stress-responsive genes are enriched for processes such as protein folding, apoptosis, and protein transport, indicating that some of the variability occurs in canonical ER stress factors. The majority of regulatory mechanisms underlying these variable transcriptional responses derive from cis-regulatory variation and are unique to a given tissue or ER stress state. This study demonstrates the need for incorporating multiple environments in future studies to better elucidate the effect of any particular genetic factor in basic biological pathways, like the ER stress response.Author SummaryThe effect of genetic variation is dependent on environmental context. Here we use genetically diverse mouse strains to understand how genetic variation interacts with stress state to produce variable transcriptional profiles. In this study, we take advantage of the endoplasmic reticulum (ER) stress response which is a large transcriptional response to misfolded proteins. Using this system, we uncovered tissue- and ER stress-specific effects of genetic variation on gene expression. Genes with genotype-dependent variable expression levels in response to ER stress were enriched for canonical ER stress functions, such as protein folding and transport. These variable effects of genetic variation are driven by unique sets of regulatory variation that are only active under context-specific circumstances. The results of this study highlight the importance of including multiple environments and genetic backgrounds when studying the ER stress response and other cellular pathways.

scholarly journals A novel quantile regression approach for eQTL discovery

2016 ◽  
Author(s):  
Xiaoyu Song ◽  
Gen Li ◽  
Iuliana Ionita-Laza ◽  
Ying Wei
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Linear Regression ◽  
Genetic Variants ◽  
Molecular Mechanisms ◽  
Association Studies ◽  
Expression Level ◽  
Special Focus ◽  
Genome Wide Association Studies ◽  
Genome Wide

AbstractOver the past decade, there has been a remarkable improvement in our understanding of the role of genetic variation in complex human diseases, especially via genome-wide association studies. However, the underlying molecular mechanisms are still poorly characterized, impending the development of therapeutic interventions. Identifying genetic variants that influence the expression level of a gene, i.e. expression quantitative trait loci (eQTLs), can help us understand how genetic variants influence traits at the molecular level. While most eQTL studies focus on identifying mean effects on gene expression using linear regression, evidence suggests that genetic variation can impact the entire distribution of the expression level. Indeed, several studies have already investigated higher order associations with a special focus on detecting heteroskedasticity. In this paper, we develop a Quantile Rank-score Based Test (QRBT) to identify eQTLs that are associated with the conditional quantile functions of gene expression. We have applied the proposed QRBT to the Genotype-Tissue Expression project, an international tissue bank for studying the relationship between genetic variation and gene expression in human tissues, and found that the proposed QRBT complements the existing methods, and identifies new eQTLs with heterogeneous effects genome-wideacross different quantile levels. Notably, we show that the eQTLs identified by QRBT but missed by linear regression are more likely to be tissue specific, and also associated with greater enrichment in genome-wide significant SNPs from the GWAS catalog. An R package implementing QRBT is available on our website.

scholarly journals Core gene identification using gene expression

2020 ◽  
Author(s):  
◽  
Annique Claringbould
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Genetic Code ◽  
Genetic Variants ◽  
Complex Traits ◽  
Drug Targets ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Altered Level ◽  
Common Genetic Variants

While humans share most of their genetic code with one another, small differences in the DNA can have an impact on an individual’s risk of disease. Common genetic variants exert individually small effects on the development of a disease, but their combined impact is substantial. Although recent research has identified thousands of variants that are associated to complex traits, our understanding of the molecular mechanisms that eventually lead to disease is limited. One way to dive into the molecular changes that result from genetic variation, is to look at changes in gene activity (‘gene expression’). Each cell contains the same genetic code, but genes are only expressed when and where they are required. Research has shown that many disease-associated genetic variants also affect gene expression. Such a change in the expression of a gene can lead to an altered level of the protein it encodes, which in turn can be the start of a dysregulation in the system that can eventually develop into a disease. This thesis describes how gene expression patterns can be used to prioritise and describe the function of trait-relevant genes. The first chapters evaluate methodological considerations for doing gene expression research. Another study covers the systematic linking of genetic variation to gene expression in blood and the last research chapter describes a method for gene prioritisation that leverages the idea that multiple genetic variants converge onto disease-causing genes. These insights can be used to better understand disease and to identify potential drug targets.

scholarly journals Regulatory divergence in wound-responsive gene expression in domesticated and wild tomato

2017 ◽  
Author(s):  
Ming-Jung Liu ◽  
Koichi Sugimoto ◽  
Sahra Uygun ◽  
Nicholas Panchy ◽  
Michael S. Campbell ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stress Response ◽  
Transcriptional Response ◽  
Regulatory Elements ◽  
Expression Divergence ◽  
Solanum Pennellii ◽  
Responsive Gene ◽  
Mechanistic Basis ◽  
Species Specific ◽  
Regulatory Sites

ABSTRACTBackgroundThe evolution of cis- and trans-regulatory components of transcription is central to how stress response and tolerance differ across species. However, it remains largely unknown how divergence in TF binding specificity and cis-regulatory sites contribute to the divergence of stress-responsive gene expression between wild and domesticated species.ResultsUsing tomato as model, we analyzed the transcriptional profile of wound-responsive genes in wild Solanum pennellii and domesticated S. lycopersicum. We found that extensive expression divergence of wound-responsive genes is associated with speciation. To assess the degree of trans-regulatory divergence between these two species, 342 and 267 putative cis-regulatory elements (pCREs) in S. lycopersicum and S. pennellii, respectively, were identified that were predictive of wound-induced gene expression. We found that 35-66% of pCREs were conserved across species, suggesting that the remaining proportion (34-65%) of pCREs are species specific. This finding indicates a substantially higher degree of trans-regulatory divergence between these two plant species, which diverged ∼3-7 million years ago, compared to that observed in mouse and human, which diverged ∼100 million years ago. In addition, differences in pCRE sites were significantly associated with differences in wound-responsive gene expression between wild and domesticated tomato orthologs, suggesting the presence of substantial cis-regulatory divergence.ConclusionsOur study provides new insights into the mechanistic basis of how the transcriptional response to wounding is regulated and, importantly, the contribution of cis- and trans-regulatory components to variation in wound-responsive gene expression during species domestication.

scholarly journals Global Transcriptional Responses to Osmotic, Oxidative, and Imipenem Stress Conditions in Pseudomonas putida

2017 ◽  
Vol 83 (7) ◽  
Author(s):  
Klara Bojanovič ◽  
Isotta D'Arrigo ◽  
Katherine S. Long
Keyword(s):  
Gene Expression ◽  
Stress Response ◽  
Pseudomonas Putida ◽  
Cellular Response ◽  
Functional Characterization ◽  
Transcriptional Response ◽  
Stress Conditions ◽  
Differentially Expressed ◽  
Transcriptional Responses ◽  
Content Type

ABSTRACTBacteria cope with and adapt to stress by modulating gene expression in response to specific environmental cues. In this study, the transcriptional response ofPseudomonas putidaKT2440 to osmotic, oxidative, and imipenem stress conditions at two time points was investigated via identification of differentially expressed mRNAs and small RNAs (sRNAs). A total of 440 sRNA transcripts were detected, of which 10% correspond to previously annotated sRNAs, 40% to novel intergenic transcripts, and 50% to novel transcripts antisense to annotated genes. Each stress elicits a unique response as far as the extent and dynamics of the transcriptional changes. Nearly 200 protein-encoding genes exhibited significant changes in all stress types, implicating their participation in a general stress response. Almost half of the sRNA transcripts were differentially expressed under at least one condition, suggesting possible functional roles in the cellular response to stress conditions. The data show a larger fraction of differentially expressed sRNAs than of mRNAs with >5-fold expression changes. The work provides detailed insights into the mechanisms through whichP. putidaresponds to different stress conditions and increases understanding of bacterial adaptation in natural and industrial settings.IMPORTANCEThis study maps the complete transcriptional response ofP. putidaKT2440 to osmotic, oxidative, and imipenem stress conditions at short and long exposure times. Over 400 sRNA transcripts, consisting of both intergenic and antisense transcripts, were detected, increasing the number of identified sRNA transcripts in the strain by a factor of 10. Unique responses to each type of stress are documented, including both the extent and dynamics of the gene expression changes. The work adds rich detail to previous knowledge of stress response mechanisms due to the depth of the RNA sequencing data. Almost half of the sRNAs exhibit significant expression changes under at least one condition, suggesting their involvement in adaptation to stress conditions and identifying interesting candidates for further functional characterization.

scholarly journals An Essential Erythroid-Specific Enhancer of ATP2B4 Associated with Red Blood Cell Traits and Malaria Susceptibility

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1250-1250
Author(s):  
Emily N Stern ◽  
Samuel Lessard ◽  
Patrick G. Schupp ◽  
Falak Sher ◽  
Guillaume Lettre ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Genetic Variants ◽  
Dnase I ◽  
Erythroid Cell ◽  
Genome Wide Association Studies ◽  
Binding Motifs ◽  
Malaria Susceptibility

Abstract Genome-wide association studies (GWASs) have identified thousands of common genetic variants associated with human traits and disease susceptibility. Given that the majority of GWAS-identified SNPs are located within non-coding regions of the genome, the mechanisms of these trait associations are frequently unknown. Here we investigate the biological underpinnings of common trait-associated genetic variation at ATP2B4, a gene on chromosome 1q32 that encodes a major plasma membrane calcium ATPase (also known as PMCA4). Genetic variation within this locus is associated with several phenotypes including various red blood cell traits (mean corpuscular hemoglobin concentration and red cell distribution width) as well as susceptibility to severe malaria infection. We conducted an expression quantitative trait loci (eQTL) mapping analysis in human erythroblasts and identified a set of SNPs associated with ATP2B4 gene expression in cis. These included the same genetic variants found by GWAS to be associated with RBC traits and malaria susceptibility. Furthermore, these SNPs overlap an intronic erythroid DNase I hypersensitive site at ATP2B4. An analysis of the ENCODE database showed that this element was erythroid specific in that it lacked DNase I hypersensitivity in >30 queried non-erythroid cell types. We used the CRISPR/Cas9 genome editing system to delete this element in HUDEP-2 immortalized human erythroid precursor cells. We observed that cells bearing a 927 bp biallelic deletion of this noncoding element displayed near complete loss of ATP2B4 expression (3% residual gene expression), while cells bearing heterozygous deletions showed an intermediate gene expression phenotype. We identified a core element that encompassed 3 of the highly trait associated SNPs and 5 GATA1-binding motifs. Biallelic deletion of this 98 bp core led to 83% reduction in ATP2B4 expression. Disruption of individual GATA1-binding motifs resulted in partial reduction of gene expression, suggesting the contribution of multiple binding sites to appropriate gene expression. Overall, this study suggests that variation within an essential erythroid-specific enhancer of ATP2B4 underlies the association of ATP2B4 with RBC traits and malaria susceptibility. Furthermore these results encourage combined analyses of gene expression, chromatin state, and prospective genetic perturbation as a means to explore the variants, elements and genes responsible for heritable blood phenotypes. Disclosures No relevant conflicts of interest to declare.

scholarly journals A natural encoding of genetic variation in a Burrows-Wheeler Transform to enable mapping and genome inference

2016 ◽  
Author(s):  
Sorina Maciuca ◽  
Carlos del Ojo Elias ◽  
Gil McVean ◽  
Zamin Iqbal
Keyword(s):  
Genetic Variation ◽  
Human Genome ◽  
Genetic Variants ◽  
Reference Genome ◽  
Exact Matching ◽  
Performance Impact ◽  
Alphabet Size ◽  
The Cost ◽  
Burrows Wheeler Transform

AbstractWe show how positional markers can be used to encode genetic variation within aBurrows-Wheeler Transform (BWT), and use this to construct a generalisation ofthe traditional “reference genome”, incorporating known variation within aspecies. Our goal is to support the inference of the closest mosaic of previouslyknown sequences to the genome(s) under analysis.Our scheme results in an increased alphabet size, and by using a wavelet tree encoding of the BWT we reduce the performance impact on rank operations. We give a specialised form of the backward search that allows variation-aware exact matching. We implement this, and demonstrate the cost of constructing an index of the whole human genome with 8 million genetic variants is 25GB of RAM. We also show that inferring a closer reference can close large kilobase-scale coverage gaps in P. falciparum.

scholarly journals Modulation of the Drosophila Transcriptome by Developmental Exposure to Alcohol

2021 ◽  
Author(s):  
Tatiana V Morozova ◽  
Vijay Shankar ◽  
Rebecca A MacPherson ◽  
Trudy F C Mackay ◽  
Robert R H Anholt
Keyword(s):  
Gene Expression ◽  
Drosophila Melanogaster ◽  
Genetic Variation ◽  
System Development ◽  
Transcriptional Response ◽  
Alcohol Exposure ◽  
Nervous System Development ◽  
Ethanol Metabolism ◽  
Developmental Exposure ◽  
Non Coding Rnas

Prenatal exposure to ethanol can cause fetal alcohol spectrum disorder (FASD), a prevalent, preventable pediatric disorder. Identifying genetic risk alleles for FASD is challenging since time, dose, and frequency of exposure are often unknown, and manifestations of FASD are diverse and evident long after exposure. Drosophila melanogaster is an excellent model to study the genetic basis of the effects of developmental alcohol exposure since many individuals of the same genotype can be reared under controlled environmental conditions. We used 96 sequenced, wild-derived inbred lines from the Drosophila melanogaster Genetic Reference Panel (DGRP) to profile genome-wide transcript abundances in young adult flies that developed on ethanol-supplemented medium or standard culture medium. We found substantial genetic variation in gene expression in response to ethanol with extensive sexual dimorphism. We constructed sex-specific genetic networks associated with alcohol-dependent modulation of gene expression that include protein-coding genes, Novel Transcribed Regions (NTRs, postulated to encode long non-coding RNAs) and female-specific coordinated regulation of snoRNAs that regulate pseudouridylation of ribosomal RNA. We reared DGRP lines which showed extreme upregulation or downregulation of snoRNA expression during developmental alcohol exposure on standard or ethanol supplemented medium and demonstrated that developmental exposure to ethanol has genotype-specific effects on adult locomotor activity and sleep. There is significant and sex-specific natural genetic variation in the transcriptional response to developmental exposure to ethanol in Drosophila that comprises networks of genes affecting nervous system development and ethanol metabolism as well as networks of regulatory non-coding RNAs.

scholarly journals Global Gene Expression Responses of Fission Yeast to Ionizing Radiation

2004 ◽  
Vol 15 (2) ◽  
pp. 851-860 ◽  
Author(s):  
Adam Watson ◽  
Juan Mata ◽  
Jürg Bähler ◽  
Anthony Carr ◽  
Tim Humphrey
Keyword(s):  
Gene Expression ◽  
Dna Damage ◽  
Stress Response ◽  
Ionizing Radiation ◽  
Environmental Stress ◽  
Fission Yeast ◽  
Transcriptional Response ◽  
Global Gene Expression ◽  
Environmental Stress Response ◽  
Stress Response Genes

A coordinated transcriptional response to DNA-damaging agents is required to maintain genome stability. We have examined the global gene expression responses of the fission yeast Schizosaccharomyces pombe to ionizing radiation (IR) by using DNA microarrays. We identified ∼200 genes whose transcript levels were significantly altered at least twofold in response to 500 Gy of gamma IR in a temporally defined manner. The majority of induced genes were core environmental stress response genes, whereas the remaining genes define a transcriptional response to DNA damage in fission yeast. Surprisingly, few DNA repair and checkpoint genes were transcriptionally modulated in response to IR. We define a role for the stress-activated mitogen-activated protein kinase Sty1/Spc1 and the DNA damage checkpoint kinase Rad3 in regulating core environmental stress response genes and IR-specific response genes, both independently and in concert. These findings suggest a complex network of regulatory pathways coordinate gene expression responses to IR in eukaryotes.

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