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Results for “gene expression”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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At least 307 records · Page 17Linked to original sources

bioRxiv2018

Amalgamated cross-species transcriptomes indicate organ-specific preadaptation for functional shifts in gene expression

The origins of multicellular physiology are tied to evolution of gene expression. Genes can shift expression as organisms evolve, but how ancestral expression influences altered descendant expression is not well understood. To examine this, we amalgamated 1,903 RNA-seq datasets from 182 research projects, including 6 organs in 21 vertebrate species. Quality control eliminated project-specific biases, and expression shifts were reconstructed using gene-family-wise phylogenetic Ornstein-Uhlenbeck models. Expression shifts following gene duplication result in more drastic changes in expression properties than shifts without gene duplication. The expression properties were tightly coupled with protein evolutionary rate, depending on whether and how gene duplication occurred. Fluxes in expression patterns among organs were nonrandom, forming modular connections which were reshaped by gene duplication. Thus, if expression shifted, ancestral expression in some organs induces a strong propensity for expression in particular organs in descendants. This supports a major role for what might be termed "preadaptive" pathways of gene expression evolution.

evolutionary biology↗

bioRxiv2019

Differential gene expression is associated with degeneration of mating-type chromosomes in the absence of sexual antagonism

In animals and plants, differential expression of genes on sex chromosomes is widespread and it is usually considered to result from sexually antagonistic selection; however differential expression can also be caused by asymmetrical sequence degeneration in non-recombining sex chromosomes, which has been very little studied. The anther-smut fungus Microbotryum lychnidis-dioicae is ideal to investigate the extent to which differential gene expression is associated with sequence degeneration because: 1) separate haploid cultures of opposite mating types help identify differential expression, 2) its mating-type chromosomes display multiple evolutionary strata reflecting successive events of gene linkage to the mating-type loci, and 3) antagonistic selection is unlikely between isogamous haploid mating types. We therefore tested the hypothesis that differential gene expression between mating types resulted from sequence degeneration. We found that genes showing differential expression between haploid mating types were enriched only on the oldest evolutionary strata of the mating-type chromosomes and were associated with multiple signatures of sequence degeneration. We found that differential expression between mating types was associated with elevated differences between alleles in non-synonymous substitution rates, indels and premature stop codons, transposable element insertions, and altered intron and GC content. Our findings strongly suggest that degenerative mutations are important in the evolution of differential expression in non-recombining regions. Our results are relevant for a broad range of taxa where mating compatibility or sex is determined by genes located in large regions of recombination suppression, showing that differential expression should not be taken as necessarily arising from antagonistic selection.\n\nAuthor SummaryDifferences between males and females, from morphology to behavior and physiology, are considered to largely reflect differential expression of genes that maximize fitness benefits relative to costs that are specific to one sex. However, there is an unexplored alternative to such sexually antagonistic selection to explain differential expression. Reproductive compatibility is often determined by genes located in large non-recombining chromosomal regions, where degenerative mutations are expected to accumulate and may separately affect the expression of alternate alleles of genes. We tested the role of genetic degeneration in determining differential expression between the isogamous haploid mating types of the anther-smut fungus, Microbotryum lychnidis-dioicae, where sexually antagonistic selection is not a confounding factor. We show that differentially expressed genes are highly enriched in the non-recombining mating-type chromosomes, and that they are associated with various forms of degenerative mutations, some of which indicate that the less expressed allele suffers greater mutational effects. Our finding of the role for degenerative mutations in the evolution of differential expression is relevant for a broad range of organisms where reproductive compatibility or sex is determined by genes in regions of suppressed recombination, and shows that differential expression should not be taken as necessarily arising from antagonistic selection.

evolutionary biology↗

bioRxiv2015

Variation-preserving normalization unveils blind spots in gene expression profiling

RNA-Seq and gene expression microarrays provide comprehensive profiles of gene activity, but lack of reproducibility has hindered their application. A key challenge in the data analysis is the normalization of gene expression levels, which is currently performed following an implicit assumption that most genes are not differentially expressed. Here, we present a mathematical approach to normalization that makes no assumption of this sort. We have found that variation in gene expression is much greater than currently believed, and that it can be measured with available technologies. Our results also explain, at least partially, the problems encountered in transcriptomics studies. We expect this improvement in detection to help efforts to realize the full potential of gene expression profiling, especially in analyses of cellular processes involving complex modulations of gene expression.

Genomics↗

bioRxiv2020

Boundary sequences flanking the mouse tyrosinase locus ensure faithful pattern of gene expression

Control of gene expression is dictated by cell-type specific regulatory sequences that physically organize the structure of chromatin, including promoters, enhancers and insulators. While promoters and enhancers convey cell-type specific activating signals, insulators prevent the cross-talk of regulatory elements within adjacent loci and safeguard the specificity of action of promoters and enhancers towards their targets in a tissue specific manner. Using the mouse tyrosinase (Tyr) locus as an experimental model, a gene whose mutations are associated with albinism, we described the chromatin structure in cells at two distinct transcriptional states. Guided by chromatin structure, through the use of Chromosome Conformation Capture (3C), we identified sequences at the 5 and 3 boundaries of this mammalian gene that function as enhancers and insulators. By CRISPR/Cas9-mediated chromosomal deletion, we dissected the functions of these two regulatory elements in vivo in the mouse, at the endogenous chromosomal context, and proved their role as genomic insulators, shielding the Tyr locus from the expression patterns of adjacent genes.

genomics↗

bioRxiv2025

Infection of 5xFAD mice with a mouse-adapted SARS-CoV-2 does not alter Alzheimer's disease neuropathology yet induces wide-spread changes in gene expression across diverse cell types

Alzheimers disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia. It is characterized by cognitive decline and accumulation of amyloid beta (A{beta}) plaques and neurofibrillary tangles. Accumulating evidence indicates that viral infection may worsen and/or increase development of established AD pathology. The COVID-19 pandemic has brought attention to the link between SARS-CoV-2 infection and neurologic conditions that vary in severity and duration, as well as the worsening of clinical symptoms in elderly people with dementia. To better understand potential mechanisms by which SARS-CoV-2 infection impacts AD neuropathology, aged 5xFAD and wildtype (WT) mice were intranasally infected with mouse-adapted SARS-CoV-2 (MA10). Intranasal infection of aged-matched (10-14 month) 5xFAD or wild type (WT) C57BL/6 mice with MA10 resulted in viral infection of the lungs that correlated with acute viral pneumonia characterized by lymphocyte inflammation and antiviral immune responses. Viral RNA was not detected within the central nervous system (CNS) of either WT or 5xFAD mice at days 7 or 21 post-infection (p.i.), nor were there signs of overt glial activation or neuroinflammation. There were no differences in either A{beta} plaque volume or number within the brains of MA10-infected 5xFAD mice compared to uninfected 5xFAD mice. However, bulk RNA sequencing and spatial transcriptomics revealed evidence of altered expression of genes associated with neuronal and glial dysfunction, as well as reduced expression of genes encoding adhesion molecules in vascular endothelial cells. Collectively, these findings demonstrate that MA10 infection did not affect A{beta} plaque size or numbers in 5xFAD mice, yet in both WT and 5xFAD mice, there were numerous down-stream effects on gene expression associated with resident CNS cell function.

pathology↗

bioRxiv2023

Gene expression plasticity followed by genetic change during colonization a high-elevation environment

Phenotypic plasticity facilitates organismal invasion of novel environments, and the resultant phenotypic change may later be modified by genetic change, so called "plasticity first". Herein we quantify gene expression plasticity and regulatory adaptation in a wild bird (Eurasian Tree Sparrow) from its original lowland (ancestral stage), experimentally implemented hypoxia acclimation (plastic stage) and colonized highland (colonized stage). Using a group of co-expressed genes from the cardiac and flight muscle, respectively, we demonstrate that gene expression plasticity to hypoxia tolerance is more often reversed than reinforced at the colonized stage. By correlating gene expression change with muscle phenotypes, we show that colonized tree sparrows reduce maladaptive plasticity that largely associates with decrease hypoxia tolerance. Conversely, adaptive plasticity that is congruent with increase hypoxia tolerance is often reinforced in the colonized tree sparrows. Genes displaying large levels of reinforcement or reversion plasticity (i.e., 200% of original level) show greater genetic divergence between ancestral and colonized populations. Overall, our work demonstrates that gene expression plasticity at the initial stage of high-elevation colonization can be reversed or reinforced through selection-driven adaptive modification.

evolutionary biology↗

bioRxiv2021

Substrate stiffness modulates integrin α5 expression and ECM-associated gene expression in fibroblasts

Biomaterials, like polydimethylsiloxane (PDMS), are soft, biocompatible, and tuneable, which makes them useful to delineate specific substrate factors that regulate the complex landscape of cell-substrate interactions. We used a commercial formulation of PDMS to fabricate substrates with moduli 40 kPa, 300 kPa, and 1.5 MPa, and cultured HMF3S fibroblasts on them. Gene expression analysis was performed by RT-PCR and Western blotting. Cellular and nuclear morphologies were analyzed using confocal imaging, and MMP-2 and MMP-9 activities were determined with gelatin zymography. Results, comparing mechanotransduction on PDMS substrates with control petridishes, show that substrate stiffness modulates cell morphologies and proliferations. Cell nuclei were rounded on compliant substrates and correlated with increased tubulin expression. Proliferations were higher on stiffer substrates with cell cycle arrest on softer substrates. Integrin 5 expression decreased on lower stiffness substrates, and correlated with inefficient TGF-{beta} activation. Changes to the activated state of the fibroblast on higher stiffness substrates were linked to altered TGF-{beta} secretion. Collagen I, collagen III, and MMP-2 expression levels were lower on compliant PDMS substrates as compared to stiffer ones; there was little MMP-9 activity on substrates. These results demonstrate critical feedback mechanisms between substrate stiffness and ECM regulation by fibroblasts which is highly relevant in diseases like tissue fibrosis.

bioengineering↗

bioRxiv2025

Dual roles of DNA methylation in gene expression and chromatin structure in a stick insect

Gene body methylation is one of the most taxonomically widespread epigenetic marks, yet its function and evolutionary history are poorly understood. While there is a positive association between gene body methylation and gene expression in many organisms, the mechanisms behind this relationship are unclear. Here, we investigate the function of gene body methylation in the stick insect Timema cristinae. We compare patterns of genome-wide gene body methylation to gene expression, open chromatin peaks, and chromatin compartments. We find that 95% of genes with gene body methylation occur in open chromatin compartments (euchromatin). Furthermore, highly expressed genes are impoverished in methylation at their transcription start site (TSS), which is associated with a peak of open chromatin. These findings suggest that the positive correlation between gene body methylation and gene expression is due to chromatin compartment structure. Yet, methylation around the TSS is associated with gene expression, possibly playing an inhibitory role as in vertebrates. Lastly, comparative analysis of Apis mellifera reveals a similar relationship between methylation and chromatin compartments, but not gene expression. These results suggest a possible explanation for the heterogeneous association between gene body methylation and gene expression and give insight into DNA methylations role in regulating gene expression.

evolutionary biology↗

bioRxiv2019

Simultaneous analysis of open chromatin, promoter interactions and gene expression in stimulated T cells implicates causal genes for rheumatoid arthritis

Genome-wide association studies have identified genetic variation contributing to complex disease risk. However, assigning causal genes and mechanisms has been more challenging because disease-associated variants are often found in distal regulatory regions with cell-type specific behaviours. Here, we collect ATAC-seq, Hi-C, Capture Hi-C and nuclear RNA-seq data in stimulated CD4+ T-cells over 24 hours, to identify functional enhancers regulating gene expression. We characterise changes in DNA interaction and activity dynamics that correlate with changes gene expression, and find that the strongest correlations are observed within 200 kb of promoters. Using rheumatoid arthritis as an example of T-cell mediated disease, we demonstrate interactions of expression quantitative trait loci with target genes, and confirm assigned genes or show complex interactions for 20% of disease associated loci, including FOXO1, which we confirm using CRISPR/Cas9.

genomics↗

bioRxiv2023

Development of a xylose-inducible promoter and riboswitch combination system for manipulating gene expression in Fusobacterium nucleatum

Inducible gene expression systems are important for studying bacterial gene function, yet most exhibit leakage. In this study, we engineered a leakage-free hybrid system for precise gene expression controls in Fusobacterium nucleatum by integrating the xylose-inducible expression system with the theophylline-responsive riboswitch. This innovative method enables concurrent control of target gene expression at both transcription and translation initiation levels. Using luciferase and the indole-producing enzyme tryptophanase (TnaA) as reporters, we demonstrated that the hybrid system displays virtually no observable signal in the absence of inducers. We employed this system to express FtsX, a protein related to fusobacterial cytokinesis, in an ftsX mutant strain, unveiling a dose-dependent manner in FtsX production. Without inducers, cells form long filaments, while increasing FtsX levels by increasing inducers concentrations led to a gradual reduction in cell length until normal morphology was restored. Crucially, this system facilitated essential gene investigation, identifying the signal peptidase lepB gene as vital for F. nucleatum. LepBs essentiality stems from depletion, affecting outer membrane biogenesis and cell division. This novel hybrid system holds the potential for advancing research on essential genes and accurate gene regulation in F. nucleatum.

microbiology↗

bioRxiv2018

Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology

Histological images are used to identify and to characterize complex phenotypes such as tumor stage. Our goal is to associate histological image phenotypes with high-dimensional genomic markers; the limitations to incorporating histological image phenotypes in genomic studies are that the relevant image features are difficult to identify and extract in an automated way, and confounders are difficult to control in this high-dimensional setting. In this paper, we use convolutional autoencoders and sparse canonical correlation analysis (CCA) on histological images and gene expression levels from paired samples to find subsets of genes whose expression values in a tissue sample correlate with subsets of morphological features from the corresponding sample image. We apply our approach, ImageCCA, to three data sets, two from TCGA and one from GTEx v6, and we find three types of biological associations. In TCGA, we find gene sets associated with the structure of the extracellular matrix and cell wall infrastructure, implicating uncharacterized genes in extracellular processes. Across studies, we find sets of genes associated with specific cell types, including muscle tissue and neuronal cells, and with cell type proportions in heterogeneous tissues. In the GTEx v6 data, we find image features that capture population variation in thyroid and in colon tissues associated with genetic variants, suggesting that genetic variation regulates population variation in tissue morphological traits. The software is publicly available at: https://github.com/daniel-munro/imageCCA.

genomics↗

bioRxiv2023

Population level gene expression can repeatedly link genes to functions in maize

Transcriptome-Wide Association Studies (TWAS) can provide single gene resolution for candidate genes in plants, complementing Genome-Wide Association Studies (GWAS) but efforts in plants have been met with, at best, mixed success. We generated expression data from 693 maize genotypes, measured in a common field experiment, sampled over a two-hour period to minimize diurnal and environmental effects, using full-length RNA-seq to maximize the accurate estimation of transcript abundance. TWAS could identify roughly ten times as many genes likely to play a role in flowering time regulation as GWAS conducted data from the same experiment. TWAS using mature leaf tissue identified known true positive flowering time genes known to act in the shoot apical meristem, and trait data from new environments enabled the identification of additional flowering time genes without the need for new expression data. eQTL analysis of TWAS-tagged genes identified at least one additional known maize flowering time gene through trans-eQTL interactions. Collectively these results suggest the gene expression resource described here can link genes to functions across different plant phenotypes expressed in a range of tissues and scored in different experiments.

plant biology↗

bioRxiv2020

Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Recent advances in spatial transcriptomics technologies have enabled comprehensive characterization of gene expression patterns in the context of tissue microenvironment. To elucidate spatial gene expression variation, we present SpaGCN, a graph convolutional network approach that integrates gene expression, spatial location and histology in spatial transcriptomics data analysis. Through graph convolution, SpaGCN aggregates gene expression of each spot from its neighboring spots, which enables the identification of spatial domains with coherent expression and histology. The subsequent domain guided differential expression analysis then detects genes with enriched expression patterns in the identified domains. Analyzing five spatially resolved transcriptomics datasets using SpaGCN, we show it can detect genes with much more enriched spatial expression patterns than existing methods. Furthermore, genes detected by SpaGCN are transferrable and can be utilized to study spatial variation of gene expression in other datasets. SpaGCN is computationally fast, making it a desirable tool for spatial transcriptomics studies.

bioinformatics↗

bioRxiv2025

A cross-species multimodal database of gene expression in cardiac hypertrophy

Changes in gene expression determine the pathophysiological response of the heart during increased workload and biomechanical stress.1,2 Understanding the complex gene expression regulation during physiological and pathological stress provides insight into mechanisms that mediate the transition from cardiac hypertrophy to heart failure. We curated and generated a multi-omics database of cardiac hypertrophy and heart failure and exemplified its usage by evaluating the regulation of UCK2, a gene that belongs to a conserved cardiomyocyte hypertrophy gene expression signature with unknown function in heart disease. To provide the community with simple access to the database, we developed CHEERIO (Cardiac HypErtrophy gEne expRessIOn Database), a free and easy-to-use interactive web application to explore rodent and human gene expression during early, late, physiological and pathological cardiac hypertrophy, as well as heart failure at transcriptome, translatome, proteome, bulk and single-cell resolution. CHEERIO is freely available at https://voelkerslab.shinyapps.io/CHEERIO/.

physiology↗

bioRxiv2017

UBiT2: a client-side web-application for gene expression data analysis

We present a purely client-side web-application, UBiT2 (User-friendly BioInformatics Tools), that provides installation-free, offline alignment, analysis, and visualization of RNA-sequencing as well as qPCR data. Analysis modules were designed with single cell transcriptomic analysis in mind. Using just a browser, users can perform standard analyses such as quality control, filtering, hierarchical clustering, principal component analysis, differential expression analysis, gene set enrichment testing, and more, all with interactive visualizations and exportable publication-quality figures. We apply UBiT2 to recapitulate findings from single cell RNA-seq and Fluidigm Biomark multiplex RT-qPCR gene expression datasets. UBiT2 is available at http://pklab.med.harvard.edu/jean/ubit2/index.html with open-source code available at https://github.com/JEFworks/ubit2.

bioinformatics↗

bioRxiv2018

Intronic miRNA Mediated Gene Expression Regulation Controls Protein Crowding Inside the Cell

SUMMARYGene regulatory effects of microRNAs at a posttranscriptional level has been established over the last decade. In this study, we analyze the interaction networks of mRNA translation regulation through intronic miRNA, under various tissue-specific cellular contexts, taking into account the thermodynamic affinity, kinetics, and the presence of competitive interactors. This database, and analysis has been made available through an open-access web-server, miRiam, to promote further exploration.\n\nHere we report that expression of genes involved in Apoptosis Processes, Immune System Processes, Translation Regulator Activities, and Molecular Transport Activities within the cell are predominately regulated by miRNA mediation. Our findings further indicate that this regulatory effect has a profound effect in controlling protein crowding inside the cell. A miRNA mediated gene expression regulation serves as a temporal regulator, allowing the cellular machinery to temporarily pause the translation of mRNA, indicating that the miRNA-mRNA interactions may be important for governing the optimal usage of cell volume.

bioinformatics↗

bioRxiv2019

Suppression of homeostatic gene expression and increased expression of metabolism-related genes are early features of glaucoma in optic nerve head microglia

Glaucoma is the leading cause of irreversible vision loss. Ocular hypertension is a major risk factor for glaucoma and recent work has demonstrated critical early neuroinflammatory insults occur in the optic nerve head following ocular hypertension. Microglia and infiltrating monocytes are likely candidates to drive these neuroinflammatory insults. However, the exact molecular identity / transcriptomic profile of microglia early following ocular hypertensive insults is unknown. To elucidate the molecular identity of microglia during early glaucoma pathogenesis, we performed RNA-sequencing of microglia mRNA from the optic nerve head of a genetic mouse model of glaucoma (DBA/2J) at a time point following ocular hypertensive insults, but preceding detectable neurodegeneration (with microglia identified as being CD45lo/CD11b+/CD11c-). Furthermore, RNA-sequencing was performed on optic nerve head microglia from mice treated with radiation therapy, a potent therapy preventing neuroinflammatory insults. Transcriptomic profiling of optic nerve head microglia mRNA identifies early metabolic priming with marked changes in mitochondrial gene expression, and changes to phagocytosis, inflammatory, and sensome pathways. The data predict that many functions of microglia that help maintain tissue homeostasis are affected. Comparative analysis of these data with data from previously published whole optic nerve head tissue or monocyte-only samples from DBA/2J mice demonstrate that many of the neuroinflammatory signatures in these data sets arise from infiltrating monocytes and not reactive microglia. Finally, our data demonstrate that radiation therapy of DBA/2J mice potently abolishes these microglia metabolic transcriptomic changes at the same time points. Together, our data provide a unique resource for the community to help drive further hypothesis generation and testing in glaucoma.

neuroscience↗

bioRxiv2026

Bacteroides fragilis modulates gut microbiome community composition, frontal cortex gene expression, and fecal and frontal cortex metabolites in a mouse model of Alzheimers disease pathologies

Alzheimers disease (AD) is a neurodegenerative disease and the leading cause of dementia among elderly. Gut microbiome alterations precede pathogenesis and may affect disease outcomes. We evaluated the role of Bacteroides fragilis in triple transgenic mice modeling AD pathologies (3xTg-AD) and wild-type controls (WT). Subsets of 3xTg-AD and WT mice were longitudinally treated with B. fragilis or sterile vehicle control for five consecutive days at 8 weeks of age and then monthly up to 52-56 weeks. Fecal samples were collected fortnightly from 8 through 52-56 weeks of age. Mice were sacrificed at 8 (baseline), 24 (amyloid-{beta} plaques modeled), and 52-56 (amyloid-{beta} plaques and neurofibrillary tangles modeled) weeks of age. Expression of genes involved in neuroinflammation and neurotransmission were quantified using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Fecal bacterial microbiota were assessed by sequencing the V4 region of the 16S rRNA gene, and microbiome sequence data were analyzed using QIIME 2. Frontal cortex and fecal metabolomes were evaluated using LC-MS/MS. We observed that B. fragilis colonized the gut microbiota of 3xTg-AD mice earlier and more consistently than WT mice. 3xTg-AD mice treated with B. fragilis demonstrate lower gene expression of GFAP, SLC1A3, and FOXO3 in the frontal cortex. Consistent with this finding, treatment with B. fragilis restores levels of amino acid derivatives and neurotransmitters in 3xTg-AD mice to resemble levels in WT mice. These results highlight the role of the gut microbiome in AD-associated neuroinflammation and neurotransmission and the need for future studies to elucidate the mechanisms underlying these changes. ImportancePrevious studies in animals modeling Alzheimers disease pathologies and humans living with Alzheimers disease demonstrate shifts in the gut microbial community composition prior to and concomitant with pathological onset. The bacterial genus, Bacteroides, is commonly found differentially abundant in these studies but its effects on disease outcomes are poorly understood. In this study, we explore the effects of chronic exposure to Bacteroides fragilis in triple transgenic mice modeling Alzheimers disease pathologies and healthy, wild-type controls. We observed changes in microbial community composition in mice modeling Alzheimers disease when treated with B. fragilis, and associated changes in neuroinflammation, biomarkers of neurotransmission, and the brain metabolome. Taken together, these results suggest that Bacteroides fragilis exerts neuromodulatory effects that may be beneficial in Alzheimers disease.

microbiology↗