SEARCH · Search PubMed

Results for “Comprehensive genomic profiling”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

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

At least 775 records · Page 43Linked to original sources

PubMed2004

Evolutionarily conserved regions and hydrophobic contacts at the superfamily level: The case of the fold-type I, pyridoxal-5'-phosphate-dependent enzymes.

The wealth of biological information provided by structural and genomic projects opens new prospects of understanding life and evolution at the molecular level. In this work, it is shown how computational approaches can be exploited to pinpoint protein structural features that remain invariant upon long evolutionary periods in the fold-type I, PLP-dependent enzymes. A nonredundant set of 23 superposed crystallographic structures belonging to this superfamily was built. Members of this family typically display high-structural conservation despite low-sequence identity. For each structure, a multiple-sequence alignment of orthologous sequences was obtained, and the 23 alignments were merged using the structural information to obtain a comprehensive multiple alignment of 921 sequences of fold-type I enzymes. The structurally conserved regions (SCRs), the evolutionarily conserved residues, and the conserved hydrophobic contacts (CHCs) were extracted from this data set, using both sequence and structural information. The results of this study identified a structural pattern of hydrophobic contacts shared by all of the superfamily members of fold-type I enzymes and involved in native interactions. This profile highlights the presence of a nucleus for this fold, in which residues participating in the most conserved native interactions exhibit preferential evolutionary conservation, that correlates significantly (r = 0.70) with the extent of mean hydrophobic contact value of their apolar fraction.

Conserved Sequence↗

PubMed2025

IBDV-SSA, a novel molecular approach for the recovery of infectious bursal disease virus whole genomes from FTA cards.

Infectious bursal disease (IBD), a highly contagious viral disease in young chickens, poses significant economic losses due to high mortality and immunosuppression. While IBD virus (IBDV) virulence is influenced by multiple genes, whole-genome sequencing (WGS) of IBDV is crucial for defining the strain pathotype and clinical profile. Flinders Technology Associates (FTA) cards are convenient for field sample collection, but their filter paper matrix can hinder nucleic acid recovery, impacting sequencing efficiency. This study evaluated two enrichment strategies, single primer amplification (SPA) and IBDV segment-specific amplification (SSA), coupled with short-read (Illumina) and long-read (Oxford Nanopore Technologies, ONT) sequencing platforms, to optimize IBDV whole-genome recovery from FTA cards. Illumina sequencing produced comparable raw read counts for both methods, yet IBDV-SSA samples achieved significantly higher genome mapping rates (76%) than IBDV-SPA (12%). Genome coverage analysis revealed that IBDV-SSA provided uniform read distribution across both genomic segments, ensuring complete coverage, while IBDV-SPA exhibited significant bias, with most reads mapping to segment B, and limited coverage of segment A. Importantly, IBDV-SSA also proved compatible with ONT long-read sequencing, providing complete genome coverage. Notably, IBDV-SSA coupled with short-read sequencing successfully characterized coinfections in two samples. This optimized approach using IBDV-SSA enables efficient and comprehensive WGS of IBDV from FTA cards, facilitating strain characterization, virulence prediction, and epidemiological investigations.IMPORTANCEThis research tackles a significant problem for poultry farmers: a virus called infectious bursal disease virus (IBDV) that harms young chickens, causing high death rates and economic losses. To fight it effectively, scientists need to analyze its complete genetic makeup. Traditionally, collecting and preserving IBDV field samples was challenging. Flinders Technology Associates (FTA) cards have simplified this process, but getting usable genetic material from them has been difficult. This study introduces a new genome enrichment method, IBDV segment-specific amplification (IBDV-SSA), which successfully allows for IBDV complete genome recovery from FTA cards. By using this improved approach, scientists can accurately identify virus strains, assess how harmful they are, and monitor their spread. This, in turn, helps to improve vaccines and protect flocks. IBDV-SSA is a powerful tool for outbreak surveillance, supporting the poultry industry and ensuring a stable food supply.

Infectious bursal disease virus↗

PubMed2026

Unveiling the Molecular Secrets of Seaweeds: A Comprehensive Review of Bioinformatics Applications in Algal Research.

Recent advances in high-throughput sequencing, bioinformatics, and multi-omics technologies have transformed seaweed research by overcoming long-standing challenges associated with complex genomes, diverse life cycles, and limited genomic resources. This review provides a comprehensive overview of bioinformatics approaches used to investigate seaweed genomics, transcriptomics, proteomics, metabolomics, microbiomes, and functional genomics, with emphasis on the computational tools and databases that support these analyses. Applications of bioinformatics in phylogenetics, drug discovery, microbiome characterization, and the development of biofuels, nutraceuticals, pharmaceuticals, and sustainable agriculture are also discussed. Particular attention is given to emerging strategies involving multi-omics integration, genome editing, artificial intelligence, machine learning, and synthetic biology that are reshaping seaweed research. The review further examines current challenges, including incomplete genomic resources, data standardization, and the need for experimental validation of computational predictions. Collectively, these advances highlight the growing role of bioinformatics in enabling systems-level understanding of seaweed biology and accelerating their translation into sustainable biotechnological and marine bioeconomy applications.

macroalgal genomics↗

PubMed2004

High-throughput phenotypic profiling of gene-environment interactions by quantitative growth curve analysis in Saccharomyces cerevisiae.

Cell-based assays are widely used in high-throughput screening to determine the effects of toxicants and drugs on their biological targets. To enable a functional genomics modeling of gene-environment interactions, quantitative assays are required both for gene expression and for the phenotypic responses to environmental challenge. To address this need, we describe an automated high-throughput methodology that provides phenotypic profiling of the cellular responses to environmental stress in Saccharomyces cerevisiae. Standardized assay conditions enable the use of a single metric value to quantify yeast microculture growth curves. This assay format allows precise control of both genetic and environmental determinants of the cellular responses to oxidative stress, a common mechanism of environmental insult. These yeast-cell-based assays are validated with hydrogen peroxide, a simple direct-acting oxidant. Phenotypic profiling of the oxidative stress response of a yap1 mutant strain demonstrates the mechanistic analysis of genetic susceptibility to oxidative stress. As a proof of concept for analysis of more complex gene-environment interactions, we describe a combinatorial assay design for phenotypic profiling of the cellular responses to tert-butyl hydroperoxide, a complex oxidant that is actively metabolized by its target cells. Thus, the yeast microculture assay format supports comprehensive applications in toxicogenomics.

Environment↗

PubMed2003

Gene expression analysis of atopic dermatitis-like skin lesions induced in NC/Nga mice by mite antigen stimulation under specific pathogen-free conditions.

BACKGROUND: Atopic dermatitis (AD) is a chronic relapsing inflammation characterized by pruritic and eczematous skin lesions usually observed in patients with a familial history of atopic diseases, but its exact etiology is unclear. An animal model is indispensable for the analysis of the pathogenesis and the development of new drugs to treat this disease. Here, we compare changes in gene expression profiles in the AD-like skin lesions of NC/Nga or BALB/c mice stimulated intradermally by mite antigen under specific pathogen-free (SPF) conditions. METHODS: Mite Extract-Dp was injected intradermally into the right and left pinnae and into the skin of the back of NC/Nga or BALB/c mice in 2 places once per 3 days, and the clinical symptoms and the ear thickness were measured. On day 14 or day 28 after starting mite extract injection, we collected plasma and pinnae from NC/Nga or BALB/c mice. The amount of total immunoglobulin E (IgE) in plasma was assayed. We analyzed mRNA transcripts in pinnae using real-time quantitative PCR for the murine counterparts of several known allergy-related genes. Moreover, genome-wide gene expression in pinnae from NC/Nga mice was analyzed using high-density oligonucleotide arrays (GeneChip, Affymetrix). RESULTS: From 2 weeks after stimulation, marked skin inflammation was induced in the pinnae of NC/Nga but not BALB/c mice. However, IgE levels in sera rose equally in both strains. Quantitative PCR analysis and comprehensive GeneChip analysis of the AD-like pinna skin lesions revealed that their development was accompanied by changes in expression of more than 1,000 genes. These included cytokines, cytokine receptors, proteases, and adhesion molecules. Furthermore, genes thus far not reported in association with AD were also affected. CONCLUSION: From these results, the NC/Nga mouse model using mite sensitization under SPF conditions could be useful for elucidating the mechanisms of AD pathogenesis and developing more effective therapy for AD.

Animals↗

PubMed2004

Comprehensive metabolite profiling of Sinorhizobium meliloti using gas chromatography-mass spectrometry.

A metabolite analysis of the soil bacterium Sinorhizobium meliloti was established as a first step towards a better understanding of the symbiosis with its host plant Medicago truncatula. A crucial step was the development of fast harvesting and extraction methods for the bacterial metabolites because of rapid changes in their composition. S. meliloti 1021 cell cultures grown in minimal medium were harvested by centrifugation, filtration or immediate freezing in liquid nitrogen followed by a lyophilisation step. Bacteria were lysed mechanically in methanol and hydrophilic compounds were analysed after methoxymation and silylisation via GC-MS. The different compounds were identified by comparison with the NIST 98 database and available standards. From about 200 peaks in each chromatogram 65 compounds have been identified so far. A comparison of the different extraction methods giving the metabolite composition revealed clear changes in several amino acids and amino acid precursor pools. A principal component analysis (PCA) was able to distinguish S. meliloti cells grown on different carbon sources based on their metabolite profile. A comparison of the metabolite composition of a S. meliloti leucine auxotrophic mutant with the wild type revealed a marked accumulation of 2-isopropylmalate in the mutant. Interestingly, the accumulated metabolite is not the direct substrate of the mutated enzyme, 3-isopropylmalate dehydrogenase, but the substrate of isopropylmalate isomerase, which acts one step further upstream in the biosynthetic pathway of leucine. This finding further emphasises the importance of integrating metabolic data into post-genomic research.

Carbohydrate Metabolism↗

PubMed2026

Comprehensive Viral Detection and Profiling of Plasma Cell-Free RNA in Patients With Suspected Hemophagocytic Lymphohistiocytosis.

Hemophagocytic lymphohistiocytosis (HLH) is a severe, rapidly progressive disease. While viral infection is considered a common etiology of pediatric HLH, specific causative viruses other than the Epstein-Barr virus (EBV) have been rarely identified. This study utilized metagenomic next-generation sequencing (NGS) to identify potential causative pathogens in plasma samples from 17 pediatric patients with suspected HLH. Additionally, one case each of confirmed EBV- and cytomegalovirus (CMV)-associated HLH was analyzed for methodological validation. Plasma cell-free RNA (cfRNA) profiling was performed using NGS data to assess the host transcriptome response. Significant viral reads of human herpesvirus-6B, human herpesvirus-7, and Hubei reo-like virus (HRLV) 14 were detected using metagenomic NGS in one patient each. Plasma cfRNA profiles from five patients with viral infection (including EBV and CMV) were compared to those of 14 patients without viral infection. By comparing the two patient groups, 1053 differentially expressed genes were identified. The gene ontology (GO) term of "adaptive immune response" (GO: 0002250) was significantly enriched among upregulated genes in the virus-positive group. Furthermore, an isolated cluster consisting specifically of mitochondrial RNAs, was identified in the upregulated genes of the virus-positive group. Using metagenomic NGS, several candidate viral pathogens were identified in patients with suspected infection-related HLH. The viral genome of HRLV 14, previously undetected in human clinical samples, was identified in one patient. The results from plasma cfRNA profiling suggest that mitochondrial RNAs may reflect the underlying pathogenesis of virus-associated HLH and have potential utility as disease biomarkers.

Humans↗

PubMed2006

Understanding dioxin developmental toxicity using the zebrafish model.

Zebrafish (Danio rerio) have advantages over mammals as an animal model for investigating developmental toxicity. 2,3,7,8-Tetrachlorodibenzo-p-dioxin (dioxin, TCDD), a persistent global contaminant, is the most comprehensively studied developmental toxicant in zebrafish. The hallmark responses of TCDD developmental toxicity manifested in zebrafish larvae include edema, anemia, hemorrhage, and ischemia associated with arrested growth and development. Heart and vasculature development and function are severely impaired, and jaw malformations occur secondary to inhibited chondrogenesis. The swim bladder fails to inflate, and the switch from embryonic to adult erythropoiesis is blocked. This profile of developmental toxicity responses, commonly referred to as "blue sac syndrome" because the edematous yolk sac appears blue, is observed in the larval form of all freshwater fish species exposed to TCDD at the embryonic stage of development. Components of the aryl hydrocarbon receptor/aryl hydrocarbon receptor nuclear translocator (AHR/ARNT) signaling pathway in zebrafish have been identified and functionally characterized. Their role in mediating TCDD toxicity has been determined using morpholinos to specifically knockdown the translation of zfAHR1, zfAHR2, zfARNT1, and zfARNT2 mRNAs, respectively, and a line of zfARNT2 null mutant zebrafish has provided further insight. These studies have shown that zfAHR2 and zfARNT1 mediate TCDD developmental toxicity. In addition, the growing use of molecular and genomic tools for research on zebrafish have led to advances in our understanding of the mechanism of TCDD developmental toxicity at the molecular level, including the recent finding that toxicity is not mediated by increased cytochrome P4501A (zfCYP1A) expression.

Animals↗

PubMed2026

RNA splicing evidence enables robust classification of BRCA1 exon 18 variants: Results from the ENIGMA consortium.

The Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) research consortium conducted a comprehensive study to characterize spliceogenic variants in BRCA1 exon 18. The absence of systematic RNA-based assessment for these variants has led to inconsistent interpretation, limiting accurate classification and management of individuals and their families. The splicing profile of 166 variants was assessed using minigene assays; 32 were additionally analyzed in blood-derived RNA from 51 individuals and 18 in mouse embryonic stem cell (mESC)-based assays to evaluate homology-directed repair (HDR) capacity. mRNA assessment by RT-PCR in blood samples and minigene assays showed a significant positive correlation, with splicing analysis in mESCs displaying highly concordant results. The mESC-based HDR assay showed that the in-frame exon 18 skipping (Δ18) transcript encodes a non-functional protein lacking rescue activity. Linear regression analysis using mESC splicing and functional data indicated that ≥59% of full-length (FL) levels and <34% of Δ18 were associated with benign HDR activity. These thresholds differ from those recommended by the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) specifications for applying BP7_strong(RNA): >30% functional transcripts or <70% non-functional transcripts. Incorporation of RNA splicing evidence into variant interpretation increased pathogenic (28.6%-31.7%) and benign (3.7%-24.4%) classifications while reducing likely pathogenic (19.5%-17.7%), uncertain (18.9%-8.5%), and likely benign (29.3%-17.7%) categories. Experimental mRNA profiling impacted the interpretation of 34% of variants and resolved uncertainty in approximately 10% of cases. Exon 18 skipping was less tolerated, indicating that the degree of splice perturbation required to impair BRCA1 function may depend on the nature of the resulting non-functional transcript.

Humans↗

PubMed2003

Breast cancer risk associated with genotypic polymorphism of the nonhomologous end-joining genes: a multigenic study on cancer susceptibility.

The role of the familial breast cancer susceptibility genes, BRCA1 and BRCA2, in the homologous recombination pathway for DNA double-strand break (DSB) repair suggests that the mechanisms involved in DNA DSB repair are of particular etiological importance during breast tumorigenesis. However, there is currently no evidence for an association between breast cancer and the other DSB repair pathway, the nonhomologous end-joining (NHEJ) pathway. It is possible that, because this DNA repair pathway is so crucial for mammalian cells to maintain genomic stability, any severe defects in it would result in serious outcomes, such as genomic instability and cell death, and block subsequent cell outgrowth and tumor formation. Thus, only subtle defects arising from low-penetrance alleles would escape lethality accumulating essential genetic changes and be associated with cancer formation, and the tumorigenic contribution of these alleles would become more obvious if individual putative high-risk genotypes of each NHEJ gene act jointly. Furthermore, this joint effect might be modified by specific environmental factors, and we hypothesized that estrogen exposure might be one such factor because estrogen is suggested to cause DNA DSBs, triggering breast tumorigenesis. Because single nucleotide polymorphisms (SNPs) are the most subtle genetic variation in the genome, to examine these hypotheses, we have genotyped 30 SNPs in all five NHEJ genes (Ku70, Ku80, DNA-PKcs, Ligase IV, and XRCC4) in 254 primary breast cancer patients and 379 healthy controls. Support for these hypotheses came from the observations that (a) two SNPs in Ku70 and XRCC4 were associated with breast cancer risk (P < 0.05); (b) a trend toward increased risk of developing breast cancer was found in women harboring a greater number of putative high-risk genotypes of NHEJ genes (an adjusted odds ratio of 1.46 for having one additional putative high-risk genotype; 95% confidence interval, 1.19-1.80); (c) this association between risk and the number of putative high-risk genotypes was stronger and more significant in women thought to be more susceptible to estrogen, i.e., those with no history of full-term pregnancy; and (d) the protective effect conferred by a history of full-term pregnancy was only significant in women with a lower number of putative high-risk genotypes of NHEJ genes. Based on comprehensive NHEJ gene profiles, this study provides new insights to suggest the role of the NHEJ pathway in breast cancer development and supports the possibility that breast cancer is initiated by estrogen exposure, which causes DNA DSBs.

Antigens, Nuclear↗

PubMed2004

Genomic approaches that aid in the identification of transcription factor target genes.

It is well-established that deregulation of the transcriptional activity of many different genes has been causatively linked to human diseases. In cancer, altered patterns of gene expression are often the result of the inappropriate expression of a specific transcriptional activator or repressor. Functional studies of cancer-specific transcription factors have relied upon the study of candidate target genes. More recently, gene expression profiling using DNA microarrays that contain tens of thousands of cDNAs corresponding to human mRNAs has allowed for a large-scale identification of genes that respond to increased or decreased levels of a particular transcription factor. However, such experiments do not distinguish direct versus indirect target genes. Coupling chromatin immunoprecipitation to micro-arrays that contain genomic regions (ChIP-chip) has provided investigators with the ability to identify, in a high-throughput manner, promoters directly bound by specific transcription factors. Clearly, knowledge gained from both types of arrays provides complementary information, allowing greater confidence that a transcription factor regulates a particular gene. In this review, we focus on Polycomb group (PcG) complexes as an example of transcriptional regulators that are implicated in various cellular processes but about which very little is known concerning their target gene specificity. We provide examples of how both expression arrays and ChIP-chip microarray-based assays can be used to identify target genes of a particular PcG complex and suggest improvements in the application of array technology for faster and more comprehensive identification of directly regulated target genes.

Animals↗

PubMed2004

Human FOX gene family (Review).

Human Forkhead-box (FOX) gene family consists of at least 43 members, including FOXA1, FOXA2, FOXA3, FOXB1, FOXC1, FOXC2, FOXD1, FOXD2, FOXD3, FOXD4, FOXD5 (FOXD4L1), FOXD6 (FOXD4L3), FOXE1, FOXE2, FOXE3, FOXF1, FOXF2, FOXG1 (FOXG1B), FOXH1, FOXI1, FOXJ1, FOXJ2, FOXJ3, FOXK1, FOXK2, FOXL1, FOXL2, FOXM1, FOXN1, FOXN2 (HTLF), FOXN3 (CHES1), FOXN4, FOXN5 (FOXR1), FOXN6 (FOXR2), FOXO1 (FOXO1A), FOXO2 (FOXO6), FOXO3 (FOXO3A), FOXO4 (MLLT7), FOXP1, FOXP2, FOXP3, FOXP4, and FOXQ1. FOXE3-FOXD2 (1p33), FOXQ1-FOXF2-FOXC1 (6p25.3), and FOXF1-FOXC2-FOXL1 (16q24.1) loci are FOX gene clusters within the human genome. Members of FOX subfamilies A-G, I-L and Q were grouped into class 1 FOX proteins, while members of FOX subfamilies H and M-P were grouped into class 2 FOX proteins. C-terminal basic region within the FOX domain was the common feature of class 1 FOX proteins. FOXH1 and FOXO1 mRNAs are expressed in human embryonic stem (ES) cells. FOXC1, FOXC2, FOXE1, FOXE3, FOXL2, FOXN1, FOXP2 and FOXP3 genes are mutated in human congenital disorders. FOXA1 gene is amplified and over-expressed in esophageal and lung cancer. FOXM1 gene is up-regulated in pancreatic cancer and basal cell carcinoma due to the transcriptional regulation by Sonic Hedgehog (SHH) pathway. FOXO1 gene is fused to PAX3 or PAX7 genes in rhabdomyosarcoma. FOXO3 and FOXO4 genes are fused to MLL gene in hematological malignancies. Deregulation of FOX family genes leads to congenital disorders, diabetes mellitus, or carcinogenesis. Expression profiles, genetic alterations and epigenetic changes of FOX family genes as well as binding proteins and target genes of FOX family transcription factors should be comprehensively investigated to develop novel therapeutics and preventives for human diseases.

Amino Acid Sequence↗

PubMed2026

Integrated Functional Characterization of Hemileia vastatrix Effector Candidates Reveals Coordinated Immune Suppression, Sequential Deployment and Compartment-Specific Targeting.

Coffee leaf rust, caused by the obligate biotrophic fungus Hemileia vastatrix, remains the most destructive disease of coffee worldwide. Although genomic and transcriptomic studies have identified a large number of candidate effectors, experimental evidence supporting their biological roles during infection remains limited. Here, we integrated functional assays, temporal expression profiling during coffee infection and subcellular localization analyses to investigate the biological properties of 44 H. vastatrix effector candidates (HvECs). Using the Pseudomonas fluorescens EtHAn effector delivery system in Nicotiana benthamiana, 15 HvECs consistently suppressed pattern-triggered immunity (PTI), indicating that immune suppression is a widespread property among the H. vastatrix effector repertoire, as assessed in this heterologous system. Five HvECs also attenuated AvrB-triggered effector-triggered immunity (ETI), and three suppressed both PTI and ETI, suggesting that a subset of HvECs targets conserved regulatory nodes shared by these interconnected immune pathways. Temporal expression profiling revealed sequential deployment of HvECs throughout infection, with distinct subsets predominating during pre-biotrophic development, host penetration or biotrophic colonization, consistent with stage-specific functions during fungal pathogenesis. Subcellular localization analyses further showed that HvECs preferentially accumulated in the nucleus or chloroplasts, compartments known as central hubs of plant immune regulation. This study provides the most comprehensive functional characterization of H. vastatrix effector candidates to date, establishes a biologically informed framework for prioritizing candidates for future identification of avirulence determinants recognized by SH resistance genes, and advances our understanding of how the coffee rust fungus orchestrates immune suppression across time and cellular space during pathogenesis.

Nicotiana↗

PubMed2001

Sequence databases and microarrays as tools for identifying prostate cancer biomarkers.

Identification, acquisition, and assessment of molecular markers that could be adopted as surrogate endpoints for evaluating a response to prostate cancer intervention strategies is highly desirable. Recent advances in the fields of genomics and biotechnology have dramatically increased the quantity and accessibility of molecular information that is relevant to the study of prostate carcinogenesis. One major advance involves the construction of comprehensive databases that archive gene sequences and gene expression data. This information is in a format suitable for virtual queries designed to distinguish the molecular differences between normal and cancer cells. A second major advance uses robotic tools to construct microarrays comprising thousands of distinct genes expressed in prostate tissues. Such arrays offer a powerful approach for monitoring the expression of thousands of genes simultaneously and provide access for techniques designed to assess patterns or "fingerprints" of gene expression that may ultimately be used as signatures of response to therapeutic intervention.

Base Sequence↗

PubMed2005

Genome-wide requirements for Mycobacterium tuberculosis adaptation and survival in macrophages.

Macrophages are central to host defense against microbes, but intracellular pathogens have evolved to evade their antimicrobial functions. Mycobacterium tuberculosis (MTB) has successfully exploited macrophages as its primary niche in vivo, but the bacterial genome-wide requirements that promote its intracellular survival remain undefined. Here we comprehensively identify the MTB genes required for survival by screening for transposon mutants that fail to grow within primary macrophages. We identify mutants showing decreased growth in macrophage environments that model stages of the host immune response. By systematically analyzing several biologically relevant data sets, we have been able to identify putative pathways that could not be predicted by genome organization alone. In one example, phosphate transport, requiring physically unlinked genes, was found to be critical for MTB growth in macrophages and important for establishing persistent infection in lungs. Remarkably, the majority of MTB genes found by this analysis to be required for survival are constitutively expressed rather than regulated by macrophages, revealing the host-adapted lifestyle of an evolutionarily selected intracellular pathogen.

Adaptation, Physiological↗

PubMed2024

A comprehensive meta-analysis of tissue resident memory T cells and their roles in shaping immune microenvironment and patient prognosis in non-small cell lung cancer.

Tissue-resident memory T cells (TRM) are a specialized subset of long-lived memory T cells that reside in peripheral tissues. However, the impact of TRM-related immunosurveillance on the tumor-immune microenvironment (TIME) and tumor progression across various non-small-cell lung cancer (NSCLC) patient populations is yet to be elucidated. Our comprehensive analysis of multiple independent single-cell and bulk RNA-seq datasets of patient NSCLC samples generated reliable, unique TRM signatures, through which we inferred the abundance of TRM in NSCLC. We discovered that TRM abundance is consistently positively correlated with CD4+ T helper 1 cells, M1 macrophages, and resting dendritic cells in the TIME. In addition, TRM signatures are strongly associated with immune checkpoint and stimulatory genes and the prognosis of NSCLC patients. A TRM-based machine learning model to predict patient survival was validated and an 18-gene risk score was further developed to effectively stratify patients into low-risk and high-risk categories, wherein patients with high-risk scores had significantly lower overall survival than patients with low-risk. The prognostic value of the risk score was independently validated by the Cancer Genome Atlas Program (TCGA) dataset and multiple independent NSCLC patient datasets. Notably, low-risk NSCLC patients with higher TRM infiltration exhibited enhanced T-cell immunity, nature killer cell activation, and other TIME immune responses related pathways, indicating a more active immune profile benefitting from immunotherapy. However, the TRM signature revealed low TRM abundance and a lack of prognostic association among lung squamous cell carcinoma patients in contrast to adenocarcinoma, indicating that the two NSCLC subtypes are driven by distinct TIMEs. Altogether, this study provides valuable insights into the complex interactions between TRM and TIME and their impact on NSCLC patient prognosis. The development of a simplified 18-gene risk score provides a practical prognostic marker for risk stratification.

Humans↗

PubMed2005

WormBase: a comprehensive data resource for Caenorhabditis biology and genomics.

WormBase (http://www.wormbase.org), the model organism database for information about Caenorhabditis elegans and related nematodes, continues to expand in breadth and depth. Over the past year, WormBase has added multiple large-scale datasets including SAGE, interactome, 3D protein structure datasets and NCBI KOGs. To accommodate this growth, the International WormBase Consortium has improved the user interface by adding new features to aid in navigation, visualization of large-scale datasets, advanced searching and data mining. Internally, we have restructured the database models to rationalize the representation of genes and to prepare the system to accept the genome sequences of three additional Caenorhabditis species over the coming year.

Animals↗

PubMed2006

Global analysis of gene expression in Xenopus hindlimbs during stage-dependent complete and incomplete regeneration.

Xenopus laevis tadpoles are capable of limb regeneration after amputation, in a process that initially involves the formation of a blastema. However, Xenopus has full regenerative capacity only through premetamorphic stages. We have used the Affymetrix Xenopus laevis Genome Genechip microarray to perform a large-scale screen of gene expression in the regeneration-complete, stage 53 (st53), and regeneration-incomplete, stage 57 (st57), hindlimbs at 1 and 5 days postamputation. Through an exhaustive reannotation of the Genechip and a variety of comparative bioinformatic analyses, we have identified genes that are differentially expressed between the regeneration-complete and -incomplete stages, detected the transcriptional changes associated with the regenerating blastema, and compared these results with those of other regeneration researchers. We focus particular attention on striking transcriptional activity observed in genes associated with patterning, stress response, and inflammation. Overall, this work provides the most comprehensive views yet of a regenerating limb and different transcriptional compositions of regeneration-competent and deficient tissues.

Animals↗