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At least 613 records · Page 34Linked to original sources
PubMed2005

Nanodroplet profiling of enzymatic activities in a microarray.

We describe a generic method for the large-scale functional characterization of enzymes in a microarray. Poly-l-lysine and amine reactive slides were coated with fluorogenic substrates sensitive to proteases and phosphatases. Patterning enzymes on the slides by robotic printing produced spatially addressable, segregated droplets that were simultaneously exposed to the on-chip sensors. Multiple enzymes were profiled using this system that provided fluorescence readouts across temporal and stoichiometric dimensions concurrently on a single microarray substrate. This integrated microarray platform is applicable not only for the functional annotation of proteins, but also for the rapid agonist and antagonist discovery and in performing on-chip kinetics.

Microarray Analysis↗
PubMed2026

Sex- and development-specific transcriptomic profiling of venom and silk genes in the wolf spider Pardosa astrigera provides insights into ecological adaptation and predatory strategies.

Spider venom and silk glands are two major secretory systems that contribute to prey capture, defense, and reproduction, but their sex- and development-specific molecular regulation in wandering wolf spiders remains poorly understood. Here, the transcriptome of Pardosa astrigera, an important agricultural natural enemy in China, revealed significant sex- and development-associated molecular differentiation among adult females, adult males, and spiderlings. A total of 100,025 unigenes were obtained, of which 23,852 were functionally annotated, providing a comprehensive transcriptomic resource for this species. Differential expression patterns showed marked variation among groups, with 531, 1792, and 832 DEGs detected in PAF vs PAS, PAM vs PAS, and PAF vs PAM, respectively. These genes were mainly associated with metabolic, oxidation-reduction, cuticle development, MAPK signaling, and lysosome pathways. Fifteen co-expression modules revealed distinct expression patterns. The turquoise, pink, yellow, and red modules were development-related, whereas the blue module was male-biased. Venom- and spidroin-related genes were distributed across multiple modules, suggesting coordinated regulation. Overall, 42 venom peptides, 21 venom proteins, and 11 spidroins were identified. Representative genes showed strongly biased expression, including spiderling-biased U3_Pp1a and U5_Pp1e, female-biased U4_Pp1a, and male-biased SMase D_108750 and PaTuSp_108466. These findings reveal sex- and development-biased expression patterns of venom- and silk-related candidate genes in P. astrigera and may provide molecular insights into ecological adaptation and predatory strategies in wandering wolf spiders.

Animals↗
PubMed2005

A functional approach to questions about life, death, and phosphorylation.

The success of the family of kinases as targets for small-molecule cancer therapeutics is probably best illustrated by the efficacy of the drug Gleevec. In spite of this, the function of many of the kinases in the mammalian genome remains unknown. In a recent paper, MacKeigan and colleagues report a functional genetic screen using RNA interference to identify kinases and phosphatases involved in programmed cell death (MacKeigan et al., 2005). Functional annotation is a prerequisite for selection of new drug targets. Such studies may therefore lay the foundation for the next generation of cancer drugs.

Antineoplastic Agents↗
PubMed2006

A gene-centered C. elegans protein-DNA interaction network.

Transcription regulatory networks consist of physical and functional interactions between transcription factors (TFs) and their target genes. The systematic mapping of TF-target gene interactions has been pioneered in unicellular systems, using "TF-centered" methods (e.g., chromatin immunoprecipitation). However, metazoan systems are less amenable to such methods. Here, we used "gene-centered" high-throughput yeast one-hybrid (Y1H) assays to identify 283 interactions between 72 C. elegans digestive tract gene promoters and 117 proteins. The resulting protein-DNA interaction (PDI) network is highly connected and enriched for TFs that are expressed in the digestive tract. We provide functional annotations for approximately 10% of all worm TFs, many of which were previously uncharacterized, and find ten novel putative TFs, illustrating the power of a gene-centered approach. We provide additional in vivo evidence for multiple PDIs and illustrate how the PDI network provides insights into metazoan differential gene expression at a systems level.

Animals↗
PubMed2025

A deep metagenomic atlas of Qinghai-Xizang Plateau lakes reveals their microbial diversity and salinity adaptation mechanisms.

The Qinghai-Xizang Plateau (QXP), harboring the planet's highest density of plateau lakes, offers an exceptional biogeographic environment for studying extremophilic microbial communities and their adaptation to salinity. Through deep metagenomic sequencing, we construct the Qinghai-Xizang Lake Sediment Genome (QXLSG) catalog, a high-resolution genomic catalog comprising 5,866 metagenome-assembled genomes (MAGs), 58.16 million non-redundant protein encoding genes, and 19,008 biosynthetic gene clusters. Notably, 80.78% of the 2,742 species-level MAGs represent undescribed taxa, significantly expanding the known microbial diversity. Salinity emerges as the primary environmental factor influencing microbial community. Functional annotation highlights that the "salt-out" strategy, particularly the uptake of glycine betaine, is the main mechanism for salinity tolerance. This strategy is prevalent in both hypersaline lake communities and the dominant microbial phyla. Overall, this study provides a crucial genetic resource for future bioprospecting and deepens our understanding of the fundamental mechanisms of microbial adaptation to extreme saline environments.

Lakes↗
PubMed2004

Selective enrichment of monospecific polyclonal antibodies for antibody-based proteomics efforts.

A high stringency protocol, suitable for systematic purification of polyclonal antibodies, is described. The procedure is designed to allow the generation of target protein-specific antibodies suitable for functional annotation of proteins. Antibodies were generated by immunization with recombinantly produced affinity-tagged target proteins. To obtain stringent recovery of the antibodies, a two-step affinity chromatography principle was devised to first deplete the affinity tag-specific antibodies followed by a second step for affinity capture of the target protein-specific antibodies. An analytical dot-blot array system was developed to analyze the cross-reactivity of the affinity-purified antibodies. The results suggest that the protocol can be used in a highly parallel and automated manner to generate mono-specific polyclonal antibodies for large-scale, antibody-based proteomics efforts, i.e. affinity proteomics.

Antibodies↗
PubMed2026

Comparative genomic analysis of Streptococcus parasuis and Streptococcus suis reveals mobile element-associated enrichment of antimicrobial resistance and lack of detectable same-MGE colocalization with virulence-associated genes within stable species boundaries.

Streptococcus suis is a major porcine pathogen and a zoonotic agent that causes meningitis and septicemia in humans. Streptococcus parasuis, a recently recognized close relative, remains poorly characterized with regard to its clinical significance and genomic features. In this study, we generated a single-contig closed genome assembly with genome-wide DNA methylation profiles for S. parasuis strain A1, isolated from a diseased pig in Xinjiang, China, and complemented in silico genomic predictions with isolate-level experimental validation of antimicrobial resistance (AMR) genotypes, virulence genotypes, and phenotypic susceptibility for this reference strain. Using this high-quality genome as a reference anchor, we performed comparative genomic analyses across 195 streptococcal genomes, comprising 15 S. parasuis and 180 S. suis strains, to distinguish genome-level co-occurrence of resistance and virulence determinants from their physical colocalization on the same mobile genetic element (MGE).Species boundaries remained clearly delineated at the genomic level, with a median interspecies average nucleotide identity (ANI) of approximately 86.0%, compared with intraspecies ANI medians of 97.5% for S. parasuis and 96.2% for S. suis. Pangenome analysis identified 12,693 gene clusters, of which 1086 were core clusters, and functional annotation revealed significant differences in accessory gene repertoires between the two species. Within this stable genomic framework, S. parasuis genomes carried a higher AMR gene burden; strain A1 harbored 10 AMR genes, multiple virulence-associated genes, three genomic islands, and eight prophage regions. For strain A1, PCR validation confirmed six AMR genes and six virulence genes, and disk diffusion testing demonstrated a multidrug-resistant phenotype consistent with the genotypic profile.Among 235 predicted mobile elements, 19 harbored AMR genes and seven carried Virulence Factor Database (VFDB) homologs, but none carried both categories simultaneously. This finding reflects a lack of detectable same-MGE colocalization under the applied annotation and assembly framework; it should not be interpreted as evidence of biological physical decoupling. Under a random-placement model, the expected number of co-carrying regions was only 0.57, and the probability of observing zero co-carrying regions was P = 0.55. This negative result should be interpreted with caution, given the limited number of cargo-bearing regions and the predominantly draft status of most genomes. Furthermore, the A1 genome contained multiple restriction-modification systems, showed depletion of several methylation motif families in mobile regions, and had limited CRISPR spacer matching evidence, suggesting prior exposure to the relevant sequence space. None of the genomes met our predefined criteria for whole-genome convergence.Collectively, our results support a model in which S. parasuis accumulates AMR-related genes in a modular fashion via mobile elements within stable species boundaries, with no detectable same-MGE colocalization of AMR and virulence determinants under our analytical pipeline. These findings imply that AMR surveillance strategies for this species should prioritize tracking mobile genetic elements rather than inferring wholesale genomic convergence toward S. suis.

Streptococcus suis↗
PubMed2026

Uncovering hub genes and key pathways responsive to drought stress in rice via meta-analysis of transcriptomic data.

Drought stress presents a formidable threat to global rice cultivation, triggering complex molecular responses that impact plant growth and productivity. To decipher the underlying gene expression dynamics, we performed a comprehensive meta-analysis of transcriptomic datasets derived from drought-tolerant rice genotypes. Via microarray data from three independent studies, we identified a set of consistently expressed differentially expressed genes (DEGs) under drought conditions. Integration of functional annotation tools, including GO and KEGG pathway enrichment, revealed key biological processes and signaling cascades involved in stress mitigation, such as ABA signaling, protein folding, and photosynthesis suppression. Protein-protein interaction (PPI) network construction, followed by hub gene identification via maximal clique centrality (MCC), highlighted pivotal regulators including LEA proteins, dehydrins, HSP70, and several transcription factors. Machine learning approaches further prioritize potential biomarkers, with Random Forest models achieving high classification accuracy and pinpointing key predictive genes. Chromosomal localization analysis provided spatial insights into the distribution of these hub genes, whose expression patterns were further compared against qRT-PCR data from previously published studies. This integrative approach identifies candidate genomic markers and mechanistic insights that may support future breeding strategies for drought-tolerant rice, pending experimental validation.

Cytoscape↗
PubMedDate not supplied

The Riken mouse genome encyclopedia project.

The Riken mouse genome encyclopedia a comprehensive full-length cDNA collection and sequence database. High-level functional annotation is based on sequence homology search, expression profiling, mapping and protein-protein interactions. More than 1000000 clones prepared from 163 tissues were end-sequenced and classified into 128000 clusters, and 60000 representative clones were fully sequenced representing 24000 clear protein-encoding genes. The application of the mouse genome database for positional cloning and gene network regulation analysis is reported.

Animals↗
PubMed2026

Protective effects of seminal exosomes on cryopreserved sperm via inhibiting oxidative damage.

This study aimed to explore the protective effect of seminal plasma exosomes (SPEs) on human sperm structure and function during cryopreservation and its potential mechanism. The samples were divided into two groups: the control group was treated solely with sperm cryoprotectant before freezing, while the exosome group was supplemented with SPEs. After cryopreservation and thawing, sperm progressive motility, normal morphological rate, and survival rate were evaluated. Furthermore, PKH67 labeling experiments were performed, and oxidative stress markers as well as energy metabolism indicators in sperm were detected. Subsequent mechanism exploration was conducted via proteomic analysis and protein validation assays. This work reveals that adding SPEs at a concentration of 1 or 2 mg/ml effectively improves sperm progressive motility after cryopreservation. After supplementing with SPEs, sperm glucose levels are reduced and mitochondrial membrane potential is enhanced. Simultaneously, SPEs alleviate oxidative stress by decreasing reactive oxygen species (ROS) and DNA fragment index (DFI) while increasing superoxide dismutase (SOD) activity. Functional annotation of proteomics reveals that 14 of the differentially expressed proteins (DEPs) are associated with sperm motility. Enriched metabolic pathways related to sperm motility and sperm protein validation experiments indicate that the expression of MAPK, p-MAPK, and p-JNK proteins in sperm is higher in the Exosome group than in the Control group. This study provides important theoretical support for the application of SPEs in mitigating cryopreservation damage to sperm by enhancing antioxidant capacity. The specific mechanism may be mediated by the MAPK/p-JNK pathway.

Male↗
PubMedDate not supplied

Hunting for genes by functional screens.

Advances in high throughput sequencing technologies have led to an explosion of sequence information available for today's researchers. Efforts in the emerging next phase of the genomic era are focusing on the assignment of function to genes uncovered by genome sequencing programs. The main approaches include high throughput mutagenesis, predictions based on homology in primary sequence, microarray and proteomics. Despite the variety of strategies applied, only 30% of predicted human genes have any function assigned. There is a need, therefore, for additional tools to overcome some of the limitations of existing techniques. In this review we discuss some recent developments and their impact on gene function annotation, especially as they relate to the elucidation of signalling cascades activated by cytokines and growth factors.

Animals↗
PubMed2006

Rhodnius prolixus: identification of immune-related genes up-regulated in response to pathogens and parasites using suppressive subtractive hybridization.

We report the identification of immune-related molecules from the fat body, and intestine of Rhodnius prolixus, an important vector of Chagas disease. Insects were challenged by introducing pathogens or Trypanosoma cruzi, the parasite that causes Chagas disease, into the hemocoel. RNA from intestines, or fat body were isolated 24h after stimulation. We used suppressive subtractive hybridization to identify immune-related genes, generated three subtracted libraries, sequenced the clones and assembled the sequences. The functional annotation revealed expressed sequence tags (ESTs) generated in response to various stimuli in all tissues, and included pathogen recognition molecules, regulatory molecules, and effector molecules.

Animals↗
PubMed2004

Molecular definition of an in vitro niche for dendritic cell development.

OBJECTIVE: Although dendritic cell (DC) precursors have been isolated from many lymphoid sites, the regulation and location of early DC development is still poorly understood. Here we describe a splenic microenvironment that supports DC hematopoiesis in vitro and identify gene expression specific for that niche. METHODS: The DC supportive function of the STX3 splenic stroma and the lymph node-derived 2RL22 stroma for overlaid bone marrow cells was assessed by coculture over 2 weeks. The DC supportive function of SXT3 was identified in terms of specific gene expression in STX3 and not 2RL22 using Affymetrix microchips. RESULTS: STX3 supports DC differentiation from overlaid bone marrow precursors while 2RL22 does not. A dataset of 154 genes specifically expressed in STX3 and not 2RL22 was retrieved from Affymetrix results. Functional annotation has led to selection of 26 genes as candidate regulators of the microenvironment supporting DC hematopoiesis. Specific expression of 14 of these genes in STX3 and not 2RL22 was confirmed by reverse transcription-polymerase chain reaction. CONCLUSION: Some genes specifically expressed in STX3 have been previously associated with hematopoietic stem cell niches. A high proportion of genes encode growth factors distinct from those commonly used for in vitro development of DC from precursors. Potential regulators of a DC microenvironment include genes involved in angiogenesis, hematopoiesis, and development, not previously linked to DC hematopoiesis.

Animals↗
PubMed2006

Cholesterol loading augments oxidative stress in macrophages.

To investigate the molecular consequence of loading free cholesterol into macrophages, we conducted a large-scale gene expression study to analyze acetylated-LDL-laden foam cells (AFC) and oxidized-LDL-laden foam cells (OFC) induced from human THP-1 cell lines. Cluster analysis was performed using 9600-gene microarray datasets from time course experiment. AFC and OFC shared common expression profiles; however, there were sufficient differences between these two treatments that AFC and OFC appealed as two separate entities. We identified 80 commonly upregulated genes and 48 commonly downregulated genes in AFC and OFC. Functional annotation of the differentially expressed genes indicated that apoptosis, extracellular matrix, oxidative stress, and cell proliferation was deregulated. We also identified 87 differentially expressed genes unique for AFC and 31 genes for OFC. The uniquely expressed genes of AFC are associated with kinase activity, ATP binding activity, and transporter activity, while unique genes for OFC are associated with cell signaling and adhesion. To validate the hypothesis that oxidative stress is a common feature for AFC and OFC, we performed a cluster analysis employing the genes related to oxidative stress, but we were unable to distinguish AFC from OFC in this manner. We performed real-time RT-PCR and ELISA on foam cells to examine the transcripts and secreted protein of interleukin 1 beta (IL1beta). IL1beta was rapidly induced in foam cells, but for AFC both RNA level and protein level dropped immediately and was attenuated. To detect levels of reactive oxygen species in foam cells we conducted hydroethidine staining and observed high levels of superoxide anion. We conclude that loading free cholesterol induces high levels of superoxide anion, increases oxidative stress, and triggers a transient inflammatory response in macrophages.

Cell Line↗
PubMed2026

Beyond the gene: isoform diversity as a key contributor to human brain disorders.

The human brain exhibits exceptional transcriptomic complexity, with alternative splicing, promoter usage, and polyadenylation generating extensive transcript-isoform diversity. Isoform dysregulation is increasingly implicated in neurodevelopmental and psychiatric disorders (NPDs), yet the landscape, function, and genetic regulation of brain isoforms remain poorly understood due to limitations of short-read RNA sequencing. Advances in long-read sequencing (LR-seq) enable scalable full-length transcriptome profiling with single-cell and spatial resolution across developmental stages. Here, we review recent progress in isoform discovery, quantification, functional annotation, and genetic regulation, highlighting emerging links to human neurodevelopment and disease. LR-seq studies have uncovered tens of thousands of previously unannotated brain isoforms, with neuronal maturation characterized by increased exon inclusion and progressive 3' untranslated region (3' UTR) lengthening. Isoform-resolved genetic mapping outperforms gene-level analyses for NPD gene discovery and mechanistic interpretation. We argue that a shift from gene-centric to isoform-centric frameworks is essential to fully capture regulatory complexity in human neurogenetics. Together, these advances establish isoform diversity as a fundamental yet underappreciated axis of brain gene regulation and a key entry point for dissecting NPD biology.

Humans↗
PubMed2025

Integrated proteomic network analysis reveals PTPRC as a central hub protein orchestrating co-expression modules and metabolic dysregulation in renal carcinoma: PTPRC protein molecular action.

The occurrence of renal carcinoma is closely related to a variety of molecular mechanisms and metabolic disorders. PTPRC (protein tyrosine phosphatase receptor C), as an important regulatory protein, was studied to reveal the role of PTPRC in renal carcinoma through comprehensive proteomic network analysis, especially its core position in the coordination of co-expression modules and metabolic disorders. This study was the first to download and process multiple publicly available renal cancer transcriptome data to conduct differential gene expression analysis across datasets. Functional enrichment and disease ontology analysis were performed on the transcriptome of renal cancer, and weighted gene co-expression network (WGCNA) was constructed. The results showed that comprehensive principal component analysis revealed significant differences in the transcriptome of renal cancer, and functional annotation revealed specific pathways associated with renal cancer. WGCNA analysis identified tumor-associated co-expression modules, while multi-omics analysis further identified core regulatory networks including PTPRC. As a central hub protein, PTPRC plays an important coordinating role in the co-expression module and metabolic dysregulation of renal carcinoma. This discovery provides a new perspective for understanding the molecular mechanism of kidney cancer.

Humans↗
PubMed2026

Structural characterization and predicted biosynthetic pathway of the polysaccharide component of bioflocculant from starch-degrading Bacillus subtilis ZHX3.

Polysaccharides-based bioflocculant is a promising eco-friendly alternative to conventional flocculants, yet their application is limited by high production cost. Understanding the biosynthetic pathway is essential for targeted strain improvement. In this study, we characterized polysaccharides structure of bioflocculant MBF-ZHX3 from Bacillus subtilis ZHX3 and predicted its biosynthetic pathway via genomic analysis combined with quantitative real-time PCR (qPCR). Two purified polysaccharide fractions, PS1-1 (5982 Da) and PS2-1 (17,577 Da), were obtained. Both were mainly composed of glucose, with a backbone of →4)-α-D-Glcp-(1 → and α-D-Glcp-(1 → branches attached at O-6. Whole-genome sequencing revealed a circular chromosome of 4,122,369 bp and two plasmids. Functional annotation showed high carbohydrate metabolism activity, with 284 genes (9.52%) and 264 genes (11.28%) assigned to carbohydrate metabolism in the COG and KEGG database, respectively. A complete eps gene cluster consisting of 15 open reading frames was identified. qPCR showed that key genes involved in substrate uptake (ptsG, malP, mdxEFG-msmX) and nucleotide sugar synthesis (pgcA, gtaB) were significantly upregulated. The priming glycosyltransferase (GT) epsL and the primary GT epsF were upregulated, along with the flippase epsK, polymerase epsG, and chain-length regulators epsA and epsB. Based on these findings, we propose a putative biosynthetic pathway for the polysaccharide component of MBF-ZHX3, and identify epsL, epsF, and epsG as prioritized targets for future genetic engineering. This work provides an integrated structural-genomic-transcriptomic framework that can guide rational strain improvement to enhance bioflocculant production.

Polysaccharides structure↗
PubMed2006

CardioSignal: a database of transcriptional regulation in cardiac development and hypertrophy.

BACKGROUND: Although extensive research has characterized intricate genetic programs in heart system, the information generated is highly fragmented. Here we have developed a new database called CardioSignal, which was designed for integration of regulatory information on the transcriptional regulation involved in heart development and cardiac hypertrophy. METHODS: Data about sequences, positions and functional annotation of transcription binding sites, cis-regulatory modules as well as promoters were collected from scientific literature. Genes involved in both processes were also manually gathered, particularly those preferentially expressed in the heart. Data was stored in MySQL database and Perl was used as the server-side programming language. RESULTS: Currently, CardioSignal contains 677 cardiac genes from twenty species. Among them are 128 cardiac transcription factors. Of the approximately 179 individual promoters from six species, the database also documented 247 experimentally verified binding sites and 64 cis-regulatory modules. CardioSignal may be searched for the promoter of a specific gene by specifying a gene name, Entrez geneID, swissProt accession number and so on. Downstream targets of transcriptional factors and cardiac regulatory modules can also be retrieved through a user-friendly web interface. Also available is experimental supporting evidence. Computational analysis tools were implemented for on-the-fly motif finding and comparative genomic analysis respectively. CONCLUSIONS: CardioSignal offers a unique resource as it contains simultaneously the promoter collected while correlating the information of transcription factor binding sites and cis-regulatory modules from heart system. We are hopeful that its implementation will contribute toward the elucidation of the complex processes in cardiac development and hypertrophy.

Animals↗