PubMed HealthSearch

SEARCH · PubMed Health

Results for “gene expression”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 55 records · Page 3Linked to original sources

A survey of expressed genes in Caenorhabditis elegans.

As an adjunct to the genomic sequencing of Caenorhabditis elegans, we have investigated a representative cDNA library of 1,517 clones. A single sequence read has been obtained from the 5' end of each clone, allowing its characterization with respect to the public databases, and the clones are being localized on the genome map. The result is the identification of about 1,200 of the estimated 15,000 genes of C. elegans. More than 30% of the inferred protein sequences have significant similarity to existing sequences in the databases, providing a route towards in vivo analysis of known genes in the nematode. These clones also provide material for assessing the accuracy of predicted exons and splicing patterns and will lead to a more accurate estimate of the total number of genes in the organism than has hitherto been available.

Animals

PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime.

SUMMARY: Identifying differentially expressed (DE) genes along cell pseudotime is crucial for understanding dynamic biological processes captured by single-cell RNA sequencing. However, existing DE methods either produce invalid P-values by ignoring the uncertainty in pseudotime inference or struggle to scale with the growing size of modern datasets. To address these limitations, we introduce PseudotimeDE-fast, a scalable method for detecting DE genes along pseudotime with well-calibrated P-values. Through comprehensive simulations and real-data analyses, we demonstrate that PseudotimeDE-fast delivers comparable or superior performance to existing approaches while offering substantial improvements in computational efficiency. AVAILABILITY AND IMPLEMENTATION: PseudotimeDE-fast is implemented in R with Rcpp acceleration and released under the MIT license. The source code is available at: https://github.com/dsong-lab/PseudotimeDE.

Single-Cell Analysis

Specific transcription in chicken liver chromatin by endogenous RNA polymerase II. Comparison of an estrogen-inducible gene with a constitutively expressed gene.

We have developed a system for the in vitro transcription of specific genes in rooster liver chromatin by endogenous RNA polymerase II that maintains the specificity of transcription in vivo. Radioactive transcripts synthesized in vitro were identified and quantitated by hybridization to a vast excess of cloned cDNA. The cDNA preparations employed corresponded to vitellogenin mRNA, the synthesis of which is responsive to estrogen stimulation in vivo, and chicken serum albumin mRNA, the synthesis of which is not significantly affected by estrogen stimulation in vivo. Comparing the pattern of transcription of the albumin and vitellogenin genes in chromatin from the liver of the normal rooster with the pattern in chromatin from the liver of the estrogen-stimulated rooster, we found that prior estrogen treatment of the rooster is attended by a slight decrease in the differential rate of transcription of the albumin gene and approximately a 10-fold increase in the differential rate of transcription of the vitellogenin gene. Because this pattern of transcription reflects the estrogen-induced changes in transcription observed in vivo, chromatin preparations from the livers of normal and estrogen-stimulated roosters can be used to investigate regulation of specific gene transcription at the molecular level in vitro.

Amanitins

Systematic identification of oscillatory gene expression in single cell types.

Many biological cycles are driven by oscillatory gene expression coordinated across cell types. For example, larval development in Caenorhabditis elegans involves coordinated cyclic changes in cell division, behavior, and growth, the latter requiring production of a structured extracellular matrix called the cuticle. Here, we combine single-cell RNA sequencing and novel computational approaches to identify oscillatory gene expression in individual cell types. We find that many cell types exhibit looping structures in PCA and UMAP space that correspond to transcriptional oscillations at each larval stage. Oscillatory gene expression is found in all cuticle-producing cell types, including glia, but not detected in neurons or muscle. We develop rigorous statistical approaches for de novo identification of oscillatory genes and cell types, yielding >5,000 genes. While many oscillatory genes relate to cuticle production, each cell type expresses largely distinct genes, suggesting that cuticle production is a patchwork of cell-type-specific programs. Finally, we derive a potential set of regulatory transcription factors that can explain coordinated oscillatory gene expression and find that shared upstream factors likely control gene timing across cell types. Together, our results suggest that shared regulators control cell-type-specific oscillatory gene expression, including in previously overlooked cell types such as glia.

Journal Article

Gene expression of bacteriophage SPP1. II. Regulatory aspects.

The expression of late SPP1 genes depends on preceding SPP1 DNA replication. This is shown in nonpermissive infection with a mutant defective in DNA replication and after inhibition of DNA synthesis by HPUra. The potential for host gene expression is not significantly influenced by SPP1 infection, as evidenced by the continuation of host protein synthesis and the inducibility of glycerolphosphate dehydrogenase after infection. The involvement of a positive control element in the regulation of SPP1 gene expression is deduced from the observation that chloramphenicol prevents the synthesis of the only class of mRNA which is transcribed from the L-strand.

Bacillus subtilis

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer.

Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential for guiding the use of postoperative adjuvant chemotherapy (ACT). In this study, we identified novel prognostic gene expression biomarkers in patients with pStage II CRC and developed a new risk stratification framework for ACT decision-making. First, genome-wide biomarker discovery was conducted to identify prognostic gene expression biomarkers associated with recurrence risk in pStage II CRC. This analysis identified 10 differentially expressed genes as potential biomarkers for recurrence. The efficacy of these biomarkers was then tested using 188 clinical surgical specimens obtained from patients with pStage II CRC. A predictive panel was developed using qRT-PCR and used to assess 93 clinical specimens with an area under the curve (AUC) of 0.82, and its performance was further validated in an independent cohort (n = 95). By incorporating key clinicopathological features, a Gene expression-based Prediction of Recurrence in pStage II CRC (GPRSC) signature was developed, which robustly predicted postoperative recurrence (AUC: 0.80). Finally, combining the GPRSC signature, microsatellite instability status, and conventional criteria, we developed a novel risk stratification system for postoperative ACT decision-making in pStage II CRC. Overall, we identified novel gene expression biomarkers and developed a prognostic signature that informs clinical decision-making regarding postoperative ACT in patients with pStage II CRC.

Humans

Functional impact of cancer-associated cohesin variants on gene expression and cellular identity.

Cohesin is a ring-shaped protein complex that controls dynamic chromosome structure. Cohesin activity is important for a variety of biological processes, including formation of DNA loops that regulate gene expression. The precise mechanisms by which cohesin shapes local chromosome structure and gene expression are not fully understood. Recurrent mutations in cohesin complex members have been reported in various cancers, though it is not clear whether many cohesin sequence variants have phenotypes and contribute to disease. Here, we utilized CRISPR/Cas9 genome editing to introduce a variety of cohesin sequence variants into murine embryonic stem cells and investigate their molecular and cellular consequences. Some of the cohesin variants tested caused changes to transcription, including altered expression of gene encoding lineage-specifying developmental regulators. Altered gene expression was also observed at insulated neighborhoods, where cohesin-mediated DNA loops constrain potential interactions between genes and enhancers. Furthermore, some cohesin variants altered the proliferation rate and differentiation potential of murine embryonic stem cells. This study provides a functional comparison of cohesin variants found in cancer within an isogenic system, revealing the relative roles of various cohesin perturbations on gene expression and maintenance of cellular identity.

Animals

A stable and potent buffalo EF1α1 promoter for robust gene expression in mammalian systems.

This study reports the first isolation and characterization of the buffalo EF1α1 promoter, demonstrating its strong gene expression activity both in vitro across diverse cultured cell types and in vivo across multiple mouse organs. Although viral promoters, such as cytomegalovirus (CMV) and simian virus (SV40), are widely used for their strong expression in various cell lines in mammalian expression systems and in animal tissues, they are prone to methylation-induced transcriptional silencing and subsequent loss of exogenous gene expression. The most effective alternative to viral promoters is the synthetic hybrid CAG promoter (cytomegalovirus major immediate-early enhancer combined with the chicken beta-actin promoter) or mammalian cellular promoter such as human elongation factor 1 alpha (hEF1α), which drives strong gene expression but lacks consistency and is limited in their in vivo expression potential due to their vulnerability to epigenetic silencing. To overcome these challenges, the bbEF1α1 promoter was cloned and evaluated both in vitro and in vivo. It consistently drives higher levels of exogenous gene expression than CMV in diverse cell lines. Importantly, transgene expression was achieved in various organs of transgenic mice and in muscle tissue following in vivo electroporation. These findings establish the bbEF1α1 promoter as a powerful ubiquitous driver of gene expression, offering high stability with broad applications in gene therapy, biopharmaceutical production, and functional genomics.

Animals

Platelet-derived growth factor gene expression in cultured human retinal pigment epithelial cells.

Gene expression of platelet-derived growth factor (PDGF) and its receptors in cultured human retinal pigment epithelial (RPE) cells was studied by using semiquantitative polymerase chain reaction. The RPE cells were found to express PDGF A- and B-chain genes as well as alpha- and beta-receptor genes with dominant expression of B-chain and beta-receptor isoforms. Phorbol myristate acetate (PMA) and thrombin increased the expression of PDGF B-chain gene to 19.8 +/- 1.75 and 15.9 +/- 1.84 fold (n = 3) of the control without affecting beta-receptor gene expression. PDGF produced by the RPE cells may play an important role in the pathogenesis of some ocular proliferative diseases.

Base Sequence

Nonadditive gene expression and reduced homoeolog expression bias in an intraspecific hexaploid wheat hybrid.

BACKGROUND: Intraspecific hybridization in allopolyploid plants can generate additive and nonadditive changes in gene expression through interactions between divergent parental genomes. However, how it simultaneously affects gene expression and the relative expression of homoeologs in higher-order polyploids is less well understood. To study this, we sequenced seedling leaf transcriptomes and profiled gene body methylation in two hexaploid wheat (Triticum aestivum L.) cultivars and their F₁ hybrids. RESULTS: Although only 4.3% of genes differed in expression between the parents, 22.3% deviated from mid-parent expression in the hybrids, with many showing transgressive expression. 32.1% of triads contained at least one homoeolog that deviated from mid-parent expression, and all three homoeologs deviated in 11% of triads, substantially more than expected by chance. Triads in which all three homoeologs were overexpressed also showed reduced differences in expression among homoeologs. Greater parental divergence in relative homoeolog expression was associated with nonadditive expression. Genes lacking gene body methylation were also more likely to show dominant or transgressive expression, whereas gene body methylation was associated with more balanced homoeolog expression and additive or conserved expression. CONCLUSIONS: Intraspecific hybridization in hexaploid wheat, even without a change in ploidy, was associated with widespread nonadditive gene expression and altered relative homoeolog expression within triads. These responses were associated with parental differences in homoeolog expression and the absence of gene body methylation. Although our findings are limited to seedling leaves from a single intraspecific cross, they provide a basis for testing the generality of these patterns across tissues, developmental stages, and genetic backgrounds.

Triticum

Impact of polymorphisms on gene expression and splicing in response to exercise and diet-induced weight loss in human skeletal muscle tissues.

Weight loss through exercise and diet reduces the risk of type 2 diabetes, but the genetic regulation of gene expression and splicing in response to weight loss remains unclear in humans. We collected clinical data and skeletal muscle biopsies from 54 overweight/obese Asian individuals before and after a 16-week lifestyle intervention, which resulted in an average of ∼10% weight loss, accompanied by an ∼30% increase in insulin-stimulated glucose uptake. Improvements were observed in 118 of 252 clinical traits and six blood lipids. Transcriptomic analysis of paired skeletal muscle biopsies identified 505 differentially expressed genes enriched in mitochondrial function and insulin sensitivity. Thousands of muscle-specific expression/splicing quantitative trait loci (e/sQTLs) were detected pre- and post-intervention, including hundreds of lifestyle-responsive e/sQTLs. Notably, approximately 4.2% of eQTLs and 7.3% of sQTLs showed Asian specificity. Joint analysis with genome-wide association study (GWAS) identified 16 putative metabolic risk genes. Our study reveals gene-by-lifestyle interactions and how lifestyle modulates gene regulation in skeletal muscle.

Humans

Development of E.coli virus T1: the pattern of gene expression.

T1 infected bacteria exhibit a distinct pattern of gene expression. The control of this expression is accessible to biochemical analysis. T1 induces the synthesis of 31 proteins in E. coli. The virion contains 15 proteins. By means of T1 amber mutants, 10 gene products have been assigned to specific T1 genes. Three classes of T1 proteins are defined by the kinetics of their syntheses: early, early-late and late proteins. The regulation of protein synthesis involes at least three mechanisms: for cessation of host gene expression, for discontinuation of the early class during the late phase and for induction of the late T1 proteins. The positive control of late gene expression is not coupled to replication. The host RNA-polymerase transcribes the viral genome throughout the infectious cycle. No virus coded RNA-polymerase is induced.

Bacterial Proteins

Stochastic modeling of single-cell gene expression adaptation reveals non-genomic contribution to evolution of tumor subclones.

Cancer progression is an evolutionary process driven by the selection of cells adapted to gain growth advantage. We present a formal study on the adaptation of gene expression in subclonal evolution. We model evolutionary changes in gene expression as stochastic Ornstein-Uhlenbeck processes, jointly leveraging the evolutionary history of subclones and single-cell expression data. Applying our model to sublines derived from single cells of a mouse melanoma revealed that sublines with distinct phenotypes are underlined by different patterns of gene expression adaptation, indicating non-genetic mechanisms of cancer evolution. Sublines previously observed to be resistant to anti-CTLA4 treatment showed adaptive expression of genes related to invasion and non-canonical Wnt signaling, whereas sublines that responded to treatment showed adaptive expression of genes related to proliferation and canonical Wnt signaling. Our results suggest that clonal phenotypes emerge as the result of specific adaptivity patterns of gene expression. A record of this paper's transparent peer review process is included in the supplemental information.

Animals

[Changes in gene expression in terminal myocardial failure].

End-stage human heart failure is the common final manifestation of a group of heterogeneous diseases, and it is usually accompanied by myocardial hypertrophy. Studies on animal models have shown that myocardial hypertrophy is an adaptational process accompanied by characteristic changes in the expression of cardiac genes: reinduction of fetal isoforms of the myofilaments actin and myosin, downregulation of SR Ca(2+)-ATPase and phospholamban, downregulation of beta-adrenoceptors and increased expression of inhibitory G proteins (Gi). These alterations lead to reduced shortening velocity, slowed relaxation, and to desensitization of adenylyl cyclase, thereby probably increasing myocardial economy and lowering energy demand. Gene expression in human end-stage heart failure due to dilated cardiomyopathy exhibits some clear differences, but also significant parallels to gene expression in experimental hypertrophy: there is no isoform shift because fetal isoforms of the myofilaments are already predominant in the adult ventricle. However, like in animal models expression of SR Ca(2+)-ATPase and phospholamban is decreased, correlating with slowed relaxation of the diseased myocardium, beta-adrenoceptors are downregulated, and the expression of Gi is increased, leading to desensitization of the adenylyl cyclase pathway. These results suggest that alterations of gene expression in human end-stage myocardial failure, known so far, are secondary to chronic overload and are not a primary cause in the pathogenetic process. They are probably initially favorable adaptive processes to chronic overload, but finally cause a further deterioration of contractile performance of the myocardium.

Animals

Silent cells? Potential for context-dependent gene expression in mature sperm.

Sperm are traditionally viewed as transcriptionally and translationally silent cells. However, observations that components of the cellular machinery of gene expression are maintained in ejaculated sperm are increasingly cited as challenges to this fundamental assumption. Here, we critically evaluate these arguments and present three lines of evidence from both model and non-model systems that collectively raise the question of whether ejaculated sperm may be capable of active gene expression. First, and critical for arguments surrounding the possibility of differential gene expression, we review recent evidence that spermatozoa may retain the capacity to transcribe and translate their genomes. Second, we highlight how sperm cells can exhibit differential transcript quantities across different post-ejaculation environments. Third, we ask whether the accumulating evidence of remarkable phenotypic plasticity in post-ejaculatory sperm phenotypes could be mechanistically underpinned by changes in sperm gene expression. While these lines of evidence are indirect and do not definitively show transcription of sperm genomes, we highlight how emerging technologies may enable us to test this hypothesis explicitly. Our review advocates for progress in this field and highlights several important evolutionary, ecological and practical implications that will probably transcend disciplines to the clinical and applied reproductive sectors.

Male

Gene expression patterns in the intestines of sea urchins (Strongylocentrotus intermedius) under prolonged high-salinity stress.

The effective development of high-salinity aquaculture for the sea urchin Strongylocentrotus intermedius depends on understanding its molecular mechanisms. Therefore, we conducted a 60-day experiment to investigate the effects of prolonged high-salinity stress on the survival, growth, amino acid levels, antioxidant enzyme activity, and gene expression of S. intermedius. The experiment involved the preparation of two groups: one with a salinity of 32 (group S32) and another with 36 (group S36). The results showed that the survival rate of S. intermedius in group S36 was 80%&#xa0;&#xb1;&#xa0;6.7%, while the weight gain rate was only 61.58%&#xa0;&#xb1;&#xa0;1.92%. Both parameters were significantly lower than those in group S32 (P&#xa0;<&#xa0;0.05). In addition, the GSH, Cys, and Glu expression in S. intermedius was significantly higher than that observed in group S32 (P&#xa0;<&#xa0;0.05). The transcriptomic results showed that, when comparing groups S32 and S36, 179 differentially expressed genes were identified. These genes were predominantly enriched in pathways related to metabolism and amino acid biosynthesis. We highlight the genes CGL, EAAT3, AMY, and NADH, which are associated with the energy metabolism, cysteine transport, and amino acid biosynthesis of S. intermedius. We speculated that S. intermedius exposed to high salinity enhances energy metabolism, as well as Cys synthesis and transport, to mitigate oxidative stress. This study provides a theoretical reference for the healthy aquaculture of S. intermedius in high-salinity environments.

Animals

Vitamin D3, its receptor and regulation of epidermal keratin gene expression.

Among extrinsic modulators of keratinization are certain hormones and vitamins, which makes them potentially important pharmacological tools for treatment of keratinization disorders. Vitamin D3 and vitamin A, and their metabolites, promote and inhibit keratinization, respectively. We have shown that retinoic acid, via its nuclear receptor, directly suppresses the expression of the keratin genes which are markers of keratinocyte differentiation. Here we present evidence that 1,25(OH)2 vitamin D3 and its nuclear receptor do not directly regulate keratin gene expression. Co-transfection of a vector expressing the nuclear receptor for vitamin D3 with responder DNA constructs containing keratin gene promoters had no effect on the level of activity of keratin gene promoters either in the presence or in the absence of vitamin D3. We conclude that vitamin D3, unlike retinoic acid, modifies keratin synthesis indirectly, by changing the differentiation phenotype of the keratinocyte.

Animals

CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.

MOTIVATION: Single-cell RNA sequencing (scRNA-Seq) technology enables detailed exploration of gene expression at the individual cell level, crucial for annotating cell types and understanding cellular diversity. Traditional methods for cell type annotation often rely on marker genes and manual labeling, posing challenges due to low data quality and incomplete reference datasets. RESULTS: We developed CeLLTra, a novel contrastive learning framework that leverages a Transformer-based model integrating biological pathway information to group genes into super tokens, effectively capturing comprehensive gene expression from scRNA-Seq data. By combining this pathway-informed Transformer with a pretrained domain-specific language model, CeLLTra accurately aligns cell-type annotations with gene expression profiles. Evaluations on a large-scale human scRNA-Seq dataset showed that CeLLTra significantly outperformed state-of-the-art methods in supervised and zero-shot cell-type prediction. Additionally, CeLLTra generalized well to external datasets, improving clustering performance and enabling better characterization of cancerous cell states in tumor-infiltrating myeloid cells from non-small cell lung cancer patients. AVAILABILITY AND IMPLEMENTATION: CeLLTra is freely available on GitHub (https://github.com/WJZheng-group/CeLLTra) and Zenodo (https://doi.org/10.5281/zenodo.17666735). The datasets underlying this article are the following: GSE201333 and GSE127465. All these datasets are publicly available and can be freely accessed on the Gene Expression Omnibus repository.

Humans