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Results for “gene expression”

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bioRxiv2026

Why architecture matters: Controlling gene expression through design

Inducible gene expression systems are widely used in synthetic biology and gene therapy, yet their performance depends not only on regulator chemistry but also on circuit architecture. Here, we examine how promoter organization shapes TetR-based gene regulation in mammalian cells using a panel of single-vector constructs spanning a broad range of promoter strengths. Experiments and thermodynamic models show that bidirectional circuits impose a trade-off between output and control: increasing promoter strength elevates both induced and basal expression, compressing dynamic range. Incorporating transcriptional coupling explains the parallel scaling of these states in compact divergent designs. In contrast, autogenous regulation couples repressor production to transcription, introducing negative feedback that buffers promoter strength and preserves fold induction. Finally, adding ligand-responsive aptazymes as a post-transcriptional layer further suppresses basal expression while maintaining inducibility, albeit with reduced maximal output. Together, these results identify regulatory architecture as a primary determinant of circuit performance and establish design principles for constructing more predictable gene expression systems in eukaryotic cells.

molecular biology↗

bioRxiv2024

LEGEND: Identifying Co-expressed Genes in Multimodal Transcriptomic Sequencing Data

Identifying co-expressed genes across tissue domains and cell types is essential for revealing co-functional genes involved in biological or pathological processes. While both single-cell RNA-sequencing (scRNA-seq) and spatially-resolved transcriptomic (SRT) data offer insights into gene co-expression patterns, current methods typically utilize either data type alone, potentially diluting the co-functionality signals within co-expressed gene groups. To bridge this gap, we introduce LEGEND, a novel computational method that integrates scRNA-seq and SRT data for identifying groups of co-expressed genes at both cell type and tissue domain levels. LEGEND employs an innovative hierarchical clustering algorithm designed to maximize intra-cluster redundancy and inter-cluster complementarity, effectively capturing more nuanced patterns of gene co-expression and spatial coherence. Enrichment and cofunction analyses further showcase the biological relevance of these gene clusters, and their utilities in exploring context-specific novel gene functions. Notably, LEGEND can reveal shifts in gene-gene interactions under different conditions, furnishing insights for disease-associated gene crosstalk. Moreover, LEGEND can be utilized to enhance the annotation accuracy of both spatial spots in SRT and single-cells in scRNA-seq, and pioneers in identifying genes with designated spatial expression patterns. LEGEND is available at https://github.com/ToryDeng/LEGEND.

genomics↗

bioRxiv2021

Toxoplasma infection alters dopamine-sensitive behaviors and host gene expression patterns associated with neuropsychiatric disease

Toxoplasma gondii is a single celled parasite thought to infect 1 in 3 worldwide. During chronic infection, T. gondii can migrate to the brain where it promotes low-grade neuroinflammation with the capacity to induce changes in brain morphology and behavior. Consequently, infection with T. gondii has been linked with a number of neurocognitive disorders including schizophrenia (SZ), dementia, and Parkinsons disease. Beyond neuroinflammation, infection with T. gondii can modulate the production of neurotransmitters, such as dopamine. To further dissect these pathways and examine the impact of altered dopaminergic sensitivity in T. gondii-infected mice on both behavior and gene expression, we developed a novel mouse model, based on stimulant-induced (cocaine) hyperactivity. Employing this model, we found that infection with T. gondii did not alter fear behavior but did impact motor activity and neuropsychiatric-related behaviurs. While both behaviors may help reduce predator avoidance, consistent with previous studies, the latter finding is reminiscent of neurocognitive disorders. Applying RNASeq to two relevant brain regions, striatum and hippocampus, we identified a broad upregulation of immune responses. However, we also noted significant associations with more meaningful neurologically relevant terms were masked due to the sheer number of terms incorporated in multiple testing correction. We therefore performed a more focused analysis using a curated set of neurologically relevant terms revealing significant associations across multiple pathways. We also found that T. gondii and cocaine treatments impacted the expression of similar functional pathways in the hippocampus and striatum although, as indicated by the low overlap among differentially expressed genes, largely via different proteins. Furthermore, while most differentially expressed genes reacted to a single condition and were mostly upregulated, we identified gene expression patterns indicating unexpected interactions between T. gondii infection and cocaine exposure. These include sets of genes which responded to cocaine exposure but not upon cocaine exposure in the context of T. gondii infection, suggestive of a neuroprotective effect advantageous to parasite persistence. Given its ability to uncover such complex relationships, we propose this novel model offers a new perspective to dissect the molecular pathways by which T. gondii infection contributes to neuropsychiatric disorders such as schizophrenia.

microbiology↗

bioRxiv2025

Estimating the cis-heritability of gene expression using single cell expression profiles controls false positive rate of eGene detection

For gene expression traits, cis-genetic heritability can quantify the strength of genetic regulation in particular cell types, elucidating the cell-type-specificity of disease variants and genes. To estimate gene expression heritability, standard models require a single gene expression value per individual, forcing data from single cell RNA-sequencing (scRNA-seq) experiments to be "pseudobulked". Here, we show that applying standard heritability models to pseudobulk data overestimates gene expression heritability and produces inflated false positive rates for detecting cis-heritable genes. Therefore, we introduce a new method called scGeneHE (single cell Gene expression Heritability Estimation), a Poisson mixed-effects model that quantifies the cis-genetic component of gene expression using individual cellular profiles. In simulations, scGeneHE has a consistently well-calibrated false positive rate for eGene detection and unbiasedly estimates cis-heritability at many parameter settings. We applied scGeneHE to scRNA-seq data from 969 individuals, 11 immune cell types, and 822,552 cells from the OneK1K cohort to infer cell-type-specificity of genetic regulation at risk genes for immune-mediated diseases and trace the fluctuation of cis-heritability across cellular populations of varying resolution. In summary, we developed a new statistical method that resolves the analytical challenge of estimating gene expression cis-heritability from native scRNA-seq data.

genetics↗

bioRxiv2023

Vaccinia virus infection induces concurrent alterations in host chromatin architecture, accessibility, and gene expression

Genomic DNA folds into complex configurations that produce particular local and global structures thought to profoundly impact genome function. To understand the dynamic nature of this relationship, we investigated the extent of host chromatin structural and functional changes in response to a viral agent. We performed comprehensive assessments of host architecture (Hi-C), accessibility (ATAC-seq), and gene expression (RNA-seq) in a paired manner in response to attenuated vaccinia (smallpox) virus. Over time, infection significantly increased long-range intra-chromosomal interactions and decreased chromatin accessibility. Fine-scale accessibility changes were independent of broad-scale chromatin compartment exchange, which increased (up to 12% of the genome) over time, underscoring potential independent mechanisms for global and local chromatin reorganization. The majority of differentially expressed genes, including those downregulated in immune responses, had concurrent alterations in local accessibility and loop domain restructuring. Increased B compartmentalization, intra-chromosomal interactions, and decreased inter-chromosomal interactions and chromatin accessibility together indicate that infection converts the host genome into a more condensed state with nearly equal bidirectional differential gene expression. These changes in host chromatin features may have implications for developing efficacious anti-viral countermeasures. Overall, our empirical data provides evidence of orchestrated concurrent alterations in chromatin architecture, accessibility, and gene expression in response to infection, further reinforcing the notion of coordinated structure-function dynamics of the genome.

genomics↗

bioRxiv2026

Gene expression dynamics through time reveal low pleiotropy genes underlying local adaptation in silver birch (Betula pendula)

Understanding the molecular mechanisms underlying local adaptation in boreal trees is important for assessing their adaptive potential under climate change. The role of pleiotropy in polygenic local adaptation remains poorly understood. Here we studied growth and temporal transcriptomic responses to photoperiod in three photoperiod treatments in three populations of Betula pendula within a two-week time period to identify genes and co-expression networks underlying local adaptation and to estimate the level of pleiotropy in population specific gene expression. We used RNA sequencing to characterize the temporal transcriptomic responses which were analyzed with variance partitioning, differential gene expression and weighted co-expression network analyses. Photoperiod treatment and sampling time were the main drivers of gene expression variation both at the co-expression module and single gene level. The majority of circadian clock and flowering time genes exhibited striking similarity across populations. Nevertheless, we detected small but significant population effects in the temporal gene expression patterns which were concentrated on the periphery of the co-expression networks consistent with low pleiotropy effects. Our findings suggest that local adaptation to growing season length among populations exhibiting very low genetic differentiation along a latitudinal cline in B. pendula is likely polygenic and potentially governed through low pleiotropy genes.

evolutionary biology↗

bioRxiv2024

Lineage tracing of Shh+ floor plate cells and dynamics of dorsal-ventral gene expression in the regenerating axolotl spinal cord

Both development and regeneration depend on signalling centres, which are sources of locally secreted tissue-patterning molecules. As many signalling centres are decommissioned before the end of embryogenesis, a fundamental question is how signalling centres can be re-induced later in life to promote regeneration after injury. Here, we use the axolotl salamander model (Ambystoma mexicanum) to address how the floor plate is assembled for spinal cord regeneration. The floor plate is an archetypal vertebrate signalling centre that secretes Shh ligand and patterns neural progenitor cells during embryogenesis. Unlike mammals, axolotls continue to express floor plate genes (including Shh) and downstream dorsal-ventral patterning genes in their spinal cord throughout life, including at steady state. The parsimonious hypothesis that Shh+ cells give rise to functional floor plate cells for regeneration had not been tested. Using HCR in situ hybridisation and mathematical modelling, we first quantitated the behaviours of dorsal-ventral spinal cord domains, identifying significant increases in gene expression level and floor plate size during regeneration. Next, we established a transgenic axolotl to specifically label and fate map Shh+ cells in vivo. We found that labelled Shh+ cells gave rise to regeneration floor plate, and not to other neural progenitor domains, after tail amputation. Thus, despite changes in domain size and downstream patterning gene expression, Shh+ cells retain their floor plate identity during regeneration, acting as a stable cellular source for this regeneration signalling centre in the axolotl spinal cord.

developmental biology↗

bioRxiv2024

Two distinct chromatin modules regulate proinflammatory gene expression

Various mechanisms have been proposed to explain gene activation and co-regulation, including enhancer-promoter interactions via chromatin looping and the enrichment of transcription factors into hubs or condensates. However, these conclusions often stem from analyses of individual loci, and genome-wide studies exploring mechanistic differences with coupled gene expression are lacking. In this study, we dissected the proinflammatory gene expression program induced by TNF in primary human endothelial cells using NGS- and imaging-based techniques. Our findings, enabled by our novel RWireX approach for single-cell ATAC-seq analysis, revealed two distinct regulatory chromatin modules: autonomous links of co-accessibility (ACs) between separated sites, and domains of contiguous co-accessibility (DCs) with increased local transcription factor binding. Genes in ACs and DCs exhibited different transcriptional bursting kinetics, highlighting the existence of two structurally and functionally distinct regulatory chromatin modules in the proinflammatory response. These findings provide a novel mechanistic framework for understanding how cells achieve rapid and precise gene expression control. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=71 SRC="FIGDIR/small/606159v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1f5f7e8org.highwire.dtl.DTLVardef@166b4d7org.highwire.dtl.DTLVardef@1ea9206org.highwire.dtl.DTLVardef@118d534_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LITwo distinct, non-mutually exclusive chromatin modules, ACs and DCs, that regulate proinflammatory gene expression were identified based on deep scATAC-seq. C_LIO_LIACs represent long-range genomic interactions with regulation occurring more by transcription burst frequency. C_LIO_LIDCs are regions of increased local transcription factor binding that can modulate transcription burst size. C_LIO_LIThe AC/DC model integrates sequencing-based evidence for chromatin looping with microscopy observations of transcription factor hubs/condensates into a unified model. C_LIO_LIOur findings provide a novel framework for understanding how cells achieve rapid and precise gene expression control. C_LI

genomics↗

bioRxiv2024

Differences in chromatin accessibility between renal cortex and inner medulla correlate with spatial differences in gene expression and are modulated by NFAT5 function

A spatial gene expression pattern between the cortex (CTX) and inner medulla (IM) of the kidney has been observed, but the underlying mechanisms are unclear. Understanding these mechanisms is essential for elucidating renal function. Using the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) we analyzed the open chromatin structures and the involvement of epigenetic mechanisms in mediating gene expression differences between the renal CTX and IM. We also examined the role of the nuclear factor of activated T cells 5 (NFAT5), a key regulator of hypertonicity. ATAC-seq analysis was performed on CTX and IM samples from both wild-type (WT) and NFAT5 knockout (KO) mice. This work demonstrates for the first time that these differences in gene expression between renal CTX and IM are associated with an epigenetic mechanism driven by chromatin accessibility, which is partially modulated by the nuclear factor of activated T-cells 5 (NFAT5) in mice. Furthermore, spatial localization and NFAT5-promoted chromatin accessibility correlate with differential gene expression and altered promoter binding motif enrichment in CTX and IM. This study provides new insights into the spatial and NFAT5-mediated regulation of chromatin accessibility and gene expression in CTX and IM. This work advances our understanding of kidney physiology by uncovering previously unknown epigenetic factors influencing gene expression and provides a new perspective on renal adaptive mechanisms. TRANSLATIONAL STATEMENTThe study reveals new insights into the spatial and epigenetic regulation of gene expression in the renal cortex (CTX) and inner medulla (IM) in the mouse kidney. We used the Assay for Transposase-Accessible Chromatin with High-Throughput Sequence Analysis (ATAC-seq) to identify a key role of NFAT5 in modulating chromatin accessibility and to uncover previously unknown epigenetic factors. This research enhances our understanding of renal physiology and has important implications for clinical care by providing insights into potential adaptive mechanisms in the kidney. These findings suggest future investigations targeting epigenetic signaling pathways for therapeutic intervention in renal diseases.

genomics↗

bioRxiv2019

Chromosome-wide co-fluctuation of stochastic gene expression in mammalian cells

Gene expression is subject to stochastic noise, but to what extent and by which means such stochastic variations are coordinated among different genes are unclear. We hypothesize that neighboring genes on the same chromosome co-fluctuate in expression because of their common chromatin dynamics, and verify it at the genomic scale using allele-specific single-cell RNA-sequencing data of mouse cells. Unexpectedly, the co-fluctuation extends to genes that are over 60 million bases apart. We provide evidence that this long-range effect arises in part from chromatin co-accessibilities of linked loci attributable to three-dimensional proximity, which is much closer intra-chromosomally than inter-chromosomally. We further show that genes encoding components of the same protein complex tend to be chromosomally linked, likely resulting from natural selection for intracellular among-component dosage balance. These findings have implications for both the evolution of genome organization and optimal design of synthetic genomes in the face of gene expression noise.

genomics↗

bioRxiv2023

Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast

Gene expression varies between individuals and corresponds to a key step linking genotypes to phenotypes. However, our knowledge regarding the species-wide genetic control of protein abundance, including its dependency on transcript levels, is very limited. Here, we have determined quantitative proteomes of a large population of 942 diverse natural Saccharomyces cerevisiae yeast isolates. We found that mRNA and protein abundances are weakly correlated at the population gene level. While the protein co-expression network recapitulates major biological functions, differential expression patterns reveal proteomic signatures related to specific populations. Comprehensive genetic association analyses highlight that genetic variants associated with variation in protein (pQTL) and transcript (eQTL) levels poorly overlap (3.6%). Our results demonstrate that transcriptome and proteome are governed by distinct genetic bases, likely explained by protein turnover. It also highlights the importance of integrating these different levels of gene expression to better understand the genotype-phenotype relationship. HighlightsO_LIAt the level of individual genes, the abundance of transcripts and proteins is weakly correlated within a species ({rho} = 0.165). C_LIO_LIWhile the proteome is not imprinted by population structure, co-expression patterns recapitulate the cellular functional landscape C_LIO_LIWild populations exhibit a higher abundance of respiration-related proteins compared to domesticated populations C_LIO_LILoci that influence protein abundance differ from those that impact transcript levels, likely because of protein turnover C_LI

systems biology↗

bioRxiv2021

Neurodevelopmental clustering of gene expression identifies lipid metabolism genes associated with neuroprotection and neurodegeneration.

APOE variants present the strongest association with sporadic Alzheimers Disease. APOE is also highly expressed during neurodevelopment in the Central Nervous System (CNS) and has been shown to be neuroprotective in infancy and gestation. We explored other lipid metabolism genes to determine whether they show a similar neurodevelopmental expression trajectory and are associated with neurodegeneration. APOE was by far the most highly expressed of the lipid metabolism genes in the CNS. Two other genes, Apolipoprotein C1 (APOC1) Glutamate-Ammonia Ligase (GLUL--also known as glutamine synthetase), co-clustered with Apolipoprotein E (APOE) in its developmental trajectory in late gestation through early childhood. These three genes highlight brain structures and developmental time-windows distinct from other lipid metabolism genes. In the CNS they are primarily expressed in astrocytes and are implicated in neuroprotection and neurodegeneration.

neuroscience↗

bioRxiv2022

Hemin availability induces coordinated DNA methylation and gene expression changes in Porphyromonas gingivalis

Periodontal disease is a common chronic inflammatory disease. Porphyromonas gingivalis is an important bacterium in the development of the disease and expresses a variety of virulence determinants. Hemin (iron [III] protopotphyrin IX), an essential nutrient of this organism, whose concentration increases with increasing inflammation, is a global regulator of virulence in P. gingivalis: high hemin levels increase expression of several virulence determinants. However, the mechanism through which hemin influences bacterial gene expression is poorly understood. Bacterial DNA methylation has the potential to fulfil this mechanistic role. Here, we characterised the methylome of P. gingivalis, and compared its variation to transcriptomic changes in response to changes in hemin concentration. Gene expression and DNA methylation profiling of P. gingivalis W50 was performed, following continuous culture in chemostats with excess or limited hemin, using Illumina RNA-Seq and Nanopore DNA sequencing. DNA methylation quantification was carried out for Dam/Dcm motifs and all-context N6-methyladenine (6mA) and 5-methylcytosine (5mC) base pair modifications. Differential expression and methylation in response to excess hemin availability are presented after multiple testing correction (FDR 5%). In excess hemin there were 161 over- and 268 under-expressed genes compared to limited hemin. Genes under-expressed in excess hemin were involved in iron recruitment (the hemophore HmuY) and transport (TonB-dependent receptors), and those over-expressed were involved in iron-sulphur cluster binding. Hemin-dependent differentially methylation was observed for the Dam GATC motif and all-context 6mA and 5mC, with 36, 49 and 47 signals, respectively. Coordinated genome-wide differential expression and methylation effects were observed in 6 genes encoding a Ppx/GppA family phosphatase, a lactate utilization protein, a 4-alpha-glucanotransferase, two ABC transporter proteins, and a hypothetical protein HMPREF1322_RS00730. The findings indicate that altered genome methylation occurs in response to the availability of hemin and give insights into the molecular mechanisms of regulation of virulence in this bacterium. Author SummaryDNA methylation has important roles in bacteria, including in the regulation of transcription. Porphyromonas gingivalis, an oral pathogen in periodontitis, exhibits well-established gene expression changes in response to hemin availability. However, the gene regulatory processes underlying these effects remain unknown. To this end, we profiled the novel P. gingivalis epigenome, and assessed epigenetic and transcriptome variation under limited and excess hemin conditions. As expected, multiple gene expression changes were detected in response to limited and excess hemin conditions that reflect conditions associated with health and disease, respectively. Notably, we also detected differential DNA methylation signatures for the Dam GATC motif and both all-context N6-methyladenine (6mA) and 5-methylcytosine (5mC) in response to hemin availability. Joint analyses identified a subset of coordinated changes in gene expression, 6mA, and 5mC methylation that target genes involved in lactate utilization and ABC transporters. The results identify novel regulatory processes underlying the mechanism of hemin regulated gene expression in P. gingivalis, with phenotypic impacts on its virulence in periodontal disease.

genomics↗

bioRxiv2025

The dominance of gene expression controlled by trans-eQTL hotspots contributes to phenotypic heterosis in maize

Heterosis, or hybrid vigor, is a key phenomenon in genetics research and agricultural production, and has been primarily attributed to non-additive genetic effects such as dominance -- a prevailing consensus shaped by decades of empirical research and theoretical debate. Although dominance may arguably arise from distal modifiers, their selective advantage is debated due to presumably small individual effects. To address this long-standing question, particularly how genetic dominance manifests at the transcriptomic level and contributes to phenotypic heterosis, we integrated transcriptomic and phenotypic data from a large population of maize hybrids and their inbred parents. We found that [~] 30% of the expressed seedling genes in a significant proportion of hybrids exhibited expression patterns deviating from the average of the two parents, indicative of non-additivity. Further analysis suggests that while hybrid gene expression per se is primarily regulated by cis-eQTLs, expression dominance (or non-additivity) is disproportionately controlled by trans-eQTLs. These trans-eQTLs cluster into hotspots that regulate the non-additivity of hundreds of target genes, mostly within co-expression networks, and are notably enriched for transcription factors (TFs). Focusing on one such hotspot, we functionally validated a classical maize gene ZmR1, a basic helix-loop-helix (bHLH) TF associated with multiple seedling trait heterosis, as a candidate regulator of expression dominance across hundreds of genes. Overexpression of ZmR1 enhances expression dominance of downstream genes and increases phenotypic heterosis in both seedling and adult traits. Further experiments confirmed its direct regulatory role in modulating genes involved in anthocyanin biosynthesis and lignin metabolism, driving transcriptome-level dominance. These results provide empirical support for the modifier hypothesis under an omnigenic model, suggesting that heterosis arises not from the modification of a single genes inheritance but through the coordinated regulation of hundreds of phenotype-associated genes, thereby helping to reconcile the long-standing debate over the genetic basis of dominance in heterosis.

genetics↗

bioRxiv2017

A quantitative model for characterizing the evolutionary history of mammalian gene expression

Characterizing the evolutionary history of a genes expression profile is a critical component for understanding the relationship between genotype, expression, and phenotype. However, it is not well-established how best to distinguish the different evolutionary forces acting on gene expression. Here, we use RNA-seq across 7 tissues from 17 mammalian species to show that expression evolution across mammals is accurately modeled by the Ornstein-Uhlenbeck (OU) process. This stochastic process models expression trajectories across time as Gaussian distributions whose variance is parameterized by the rate of genetic drift and strength of stabilizing selection. We use these mathematical properties to identify expression pathways under neutral, stabilizing, and directional selection, and quantify the extent of selective pressure on a genes expression. We further detect deleterious expression levels outside expected evolutionary distributions in expression data from individual patients. Our work provides a statistical framework for interpreting expression data across species and in disease.\n\nOne Sentence SummaryWe demonstrate the power of a stochastic model for quantifying selective pressure on expression and estimating evolutionary distributions of optimal gene expression.

genomics↗

bioRxiv2021

The hepatocyte insulin receptor is required to program rhythmic gene expression and the liver clock

In mammalian cells, gene expression is rhythmic and sensitive to various environmental and physiological stimuli. A circadian clock system helps to anticipate and synchronize gene expression with daily stimuli including cyclic light and food intake, which control the central and peripheral clock programs, respectively. Food intake also regulates insulin secretion. How much insulin contributes to the effect of feeding on the entrainment of the clock and rhythmic gene expression remains to be investigated. An important component of insulin action is mediated by changes in insulin receptor (IR)-dependent gene expression. In the liver, insulin at high levels controls the transcription of hundreds of genes involved in glucose homeostasis to promote energy storage while repressing the expression of gluconeogenic genes. In type 2 diabetes mellitus (T2DM), selective hepatic insulin resistance impairs the inhibition of hepatic glucose production while promoting lipid synthesis. This pathogenic process promoting hyperlipidemia as well as non-alcoholic fatty liver diseases. While several lines of evidence link such metabolic diseases to defective control of circadian homeostasis, the hypothesis that IR directly synchronizes the clock has not been studied in vivo. Here, we used conditional hepatocyte-restricted gene deletion to evaluate the role of IR in the regulation and oscillation of gene expression as well as in the programming of the circadian clock in adult mouse liver.

physiology↗

bioRxiv2018

Fitness effects of altering gene expression noise in Saccharomyces cerevisiae

Gene expression noise is an evolvable property of biological systems that describes differences in gene expression among genetically identical cells in the same environment. Prior work has shown that expression noise is heritable and can be shaped by natural selection, but the impact of variation in expression noise on organismal fitness has proven difficult to measure. Here, we quantify the fitness effects of altering expression noise for the TDH3 gene in Saccharomyces cerevisiae. We show that increases in expression noise can be deleterious or beneficial depending on the difference between the average expression level of a genotype and the expression level maximizing fitness. We also show that a simple model relating single-cell expression levels to population growth produces patterns that are consistent with our empirical data. We use this model to explore a broad range of average expression levels and expression noise, providing additional insight into the fitness effects of variation in expression noise.

evolutionary biology↗

bioRxiv2024

Differential gene expression in cells with different p53 mutations identifies genome-wide p53 targets and shows distinct modulation of cellular pathways in response to DNA damage

Genotoxicity induces p53 to coordinate a cellular response, however basal p53 activity preserves genome integrity by maintaining low expression of its target genes that scan the DNA and quickly repair damage. Acquired p53 mutations disrupt this regulation and the cellular capacity to respond effectively to environmental insults. Three breast cancer cell lines with different p53 status: wild type (MCF-7) and mutated in the DNA binding domain (R280K, MDA-MB231) and (L194F, T47D) are used to identify an unbiased high-confidence subset of direct p53-target-genes. Expression of these genes is differentially impacted by the mutations in resting conditions, with a strongly reduced overall p53 activity in MDA-MB231 and mildly in T47D. Short exposure to 4NQO is used to induce DNA adducts without p53 activation as confirmed by limited changes in p53-target-gene expression. MDA-MB231 show dysfunctional DNA repair and G1 checkpoint while T47D maintain some DNA repair capacity. Both mutant lines have increased survival to genotoxicity, particularly T47D, compared to MCF-7, consistent with a different effect on p53 function and cell homeostasis. Clinical data for mutations in these residues suggests that in the balance of tumour progression impaired DNA repair is more important than proliferation and these pathways are differentially affected by specific mutations.

cancer biology↗