SEARCH · Search PubMed

Results for “whole transcriptome”

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 343 records · Page 19Linked to original sources

PubMed2024

Cross-platform proteomics signatures of extreme old age.

In previous work, we used a SomaLogic platform targeting approximately 5000 proteins to generate a serum protein signature of centenarians that we validated in independent studies that used the same technology. We set here to validate and possibly expand the results by profiling the serum proteome of a subset of individuals included in the original study using liquid chromatography tandem mass spectrometry (LC-MS/MS). Following pre-processing, the LC-MS/MS data provided quantification of 398 proteins, with only 266 proteins shared by both platforms. At 1% FDR statistical significance threshold, the analysis of LC-MS/MS data detected 44 proteins associated with extreme old age, including 23 of the original analysis. To identify proteins for which associations between expression and extreme-old age were conserved across platforms, we performed inter-study conservation testing of the 266 proteins quantified by both platforms using a method that accounts for the correlation between the results. From these tests, a total of 80 proteins reached 5% FDR statistical significance, and 26 of these proteins had concordant pattern of gene expression in whole blood generated in an independent set. This signature of 80 proteins points to blood coagulation, IGF signaling, extracellular matrix (ECM) organization, and complement cascade as important pathways whose protein level changes provide evidence for age-related adjustments that distinguish centenarians from younger individuals. The comparison with blood transcriptomics also highlights a possible role for neutrophil degranulation in aging.

Humans↗

PubMed2001

[Genomics in the understanding of the mechanisms of transcriptional regulation].

Whole genome" expression profiles can be used as molecular signatures or portraits characteristic of a tumour or of the physiological state of a cell. This global description also provides a new approach for the study of the transcriptional regulation, and this review is dedicated to this fundamental aspect of the transcriptome. Gene expression studies will be first considered at the single cell level. In situ analyses reveal that transcription is a stochastic phenomenon, indicating that the transcriptome contains fluctuating regions. The transcriptional response of a cell population to an external stimulus has been used to evaluate the contribution of the various signalling pathways and transcription factors. One of the emerging themes is the co-ordinate expression of genes associated with the same physiological process. In the spirit of this analysis of the transcriptional regulatory networks, it is becoming possible to design artificial biological networks to implement desired functions, paving the way to new therapeutic approaches.

Drug Design↗

PubMed2026

Genetic and epigenetic underpinnings of biological aging: a multi-omics study integrating Mendelian randomization, spatial transcriptomics, and drug target discovery.

Inflammaging represents a hallmark of biological aging, yet the causal inflammatory mediators driving multi-dimensional epigenetic aging and their effector genes remain poorly characterized at the genetic level. We developed a four-tier analytical framework integrating causal screening, multi-omics effector gene mapping, spatial transcriptomics, and drug target evaluation. Two-sample Mendelian randomization (MR) of 91 circulating inflammatory proteins against six aging phenotypes identified IL-12B, IFNG, and IL-2 as the most robust pro-aging mediators with consistent effects across independent outcomes. Using multi-omics summary-based MR (SMR) as the core analytical engine, we integrated four-layer whole-blood molecular QTL resources eQTL (eQTLGen, n = 31,684), sQTL (GTEx, n = 755), pQTL (INTERVAL + SCALLOP, n = 34,232), and mQTL (McRae et al., n = 1,980) - with GWAS summary statistics for four epigenetic age acceleration measures. At a stringent threshold (P_SMR < 1×10⁻¹²), seven high-confidence effector genes were identified: NHLRC1, TPMT, SELP, and RIPPLY3 for IEAA; ZNF373A and PLDN for HannumAA; and EDARADD for PhenoAA. The chromosome 6p21 NHLRC1-TPMT locus, overwhelmingly driven by methylation QTL signals (-log₁₀P = 26.06), emerged as the dominant genetic node of epigenetic aging. Spatial projection via gsMap onto a mouse E16.5 embryo atlas (121,767 cells) revealed preferential enrichment in smooth muscle and lung, with EDARADD showing marked specificity in mucosal epithelium. Cross-database drug target mining classified TPMT and SELP as repurposable known targets and NHLRC1 as a high-priority novel druggable candidate. This study provides multi-omics convergent causal evidence for inflammation-driven epigenetic aging and delivers genetically anchored targets for precision anti-aging intervention.

Aging↗

PubMed2026

Esketamine multi-omic biomarker evaluation in major depressive disorder (EMBER-MDD): concept, objectives and methodologies of a non-clinical investigator-initiated study.

Treatment resistance (TR) in major depressive disorder (MDD) affects a substantial minority of patients and is hard to recognize early, delaying intensified care. The Esketamine multi-omic biomarker evaluation in MDD (EMBER-MDD) is a non-interventional, investigator-initiated, in-vitro study within the EU Psych-STRATA programme, analyzing biospecimens collected in the randomized INTENSIFY study and the mirror OBS-TR cohort after participants complete treatment. EMBER-MDD aims to discover individual-omic and integrated multi-omic (hypothesis-free) biomarkers and signatures associated with TR risk, and molecular correlates of clinical response to esketamine nasal spray versus treatment as usual (TAU). Biomaterials will derive from approximately 420 adults with MDD (estimated n = 210 esketamine; n = 210 TAU) and include whole blood, RNA-stabilized whole blood, plasma and serum, sampled at baseline and, when feasible, during and after treatment (up to ~ 5,040 aliquots stored at - 80 °C). Genomics will use baseline DNA genotyping on Illumina Infinium GSA v3.0+MD arrays; epigenomics will profile genome-wide DNA methylation across time points using MethylationEPIC v2.0; transcriptomics will employ mRNA-seq (NovaSeq X/ X Plus); and proteomics/ metabolomics will be generated using high-throughput Olink and/ or Biocrates platforms. Each layer will undergo state-of-the-art preprocessing and analyses (e.g., GWAS/ PRS, EWAS, differential expression, WGCNA, pathway and network analyses), followed by integrative strategies including QTL mapping (meQTL/ eQTL/ pQTL/ mQTL) and intermediate-fusion machine learning with nested cross-validation, explainable AI (SHAP/ LIME) and treatment-effect modelling. All outputs are research-only and will not support individual efficacy, tolerability, or clinical decision-making. The study will deliver robust biosignatures and mechanistic hypotheses to guide future validation and inform stratified, molecularly guided intervention strategies in subsequent prospective trials. Trial registration number: 2023-506617-21-00 and 2025-178-f-S.

Humans↗

PubMed2003

Protein arrays: the current state-of-the-art.

The completion of projects for sequencing whole genomes such as those of human, Saccaromyces cerevisiae and Caenorhabditis elegans has led to a rapid increase in the availability of genetic information. The technology by which such information is acquired is having a major impact on the way we think about analysing the RNA and protein products of the gene transcription. Transcriptome analysis has, via microarray technology, managed to achieve a near genomic scale quantitative analysis of mRNA levels. Several other technologies such as quantitative reverse transcriptase polymerase chain reaction and representational differential analysis are also available for analysing gene products. Traditionally, protein analysis has been performed by assaying one particular protein at a time, with very little parallel analysis. As protein function is a direct consequence of the protein product of the gene and as mRNA levels do not always correlate well with protein, it is desirable to analyse the entire protein complement of a cell etc. on a similar scale to mRNA. Despite the clear interest in analysing the expression, structure and function of proteins at a genomic scale, they have proven less amenable to such generic, high-throughput approaches. This review highlights the current thinking in the area of proteome analysis and considers the potential for future technology development in the area of protein arrays.

Animals↗

PubMed2002

Quantifying gene networks with regulatory strengths.

A gene network is the collection of regulatory relationships between all genes in a genome. Gene networks are high-level descriptions of cellular biochemistry and show the phenomenological interactions between gene activities. These interactions are mediated by proteins and metabolites. In the gene network approach, only the transcriptome is considered and all biochemistry underlying gene-gene interactions is only implicitly present. In a previous work, we presented a method for inferring gene networks from experimental data, quantifying gene-gene interactions with regulatory strengths. Here, we show how to express these regulatory strengths in terms of properties of the whole biochemical network.

Gene Expression Profiling↗

PubMed2003

Chromosomal distribution of the human cardiovascular transcriptome.

On the basis of previous observations in chromosomes 21 and 22, we hypothesize that there is a tissue-specific organization of cardiovascular gene transcripts in the human genome. To examine the distribution of heart-derived transcripts, we assigned a nonredundant set of 4628 fetal and 3574 adult known and uncharacterized cardiovascular expressed-sequence tags (cvESTs) to 5-Mb chromosomal 'windows' on the basis of publicly available sequence mapping data. On a whole-genome level (36,617 genes), chromosome 17 (19.2% in fetal, 16.5% in adult) contained the highest proportion of cvESTs, whereas chromosome Y (2.0% in fetal and adult) contained the lowest. In total, 50 of the 639 windows contained a significantly higher proportion of cvESTs (P < 0.003) compared with the genome-wide cvEST gene density, particularly on gene-dense chromosomes (that is, 17, 19, 22) as opposed to gene-rich chromosomes (for example, 1, 2, 11). This report provides insight into a possible role for complex tissue-specific gene regulation in the human genome.

Cardiovascular System↗

PubMed2006

The rat epididymal transcriptome: comparison of segmental gene expression in the rat and mouse epididymides.

Regional differences along the epididymis are essential for the establishment of the luminal environment required for sperm maturation. In the current study, 19 morphologically distinct segments of the rat epididymis were identified by microdissection. Total RNA was isolated from each segment and subjected to microarray analysis. Segmental analysis of epididymal gene expression identified more than 16,000 expressed qualifiers, whereas profiling of RNA from whole rat epididymis identified approximately 12,000 expressed qualifiers. Screening a panel of normal rat tissues identified both epididymal-selective and epididymal-specific transcripts. In addition, more than 3500 qualifiers were shown to be present and differentially upregulated or downregulated by more than fourfold between any two segments. The present study complements our previous segment-dependent analysis of gene expression in the mouse epididymis and allows for comparative analyses between datasets. A total of 492 genes was shown to be present on both the MOE430 (mouse) and RAE230_2 (rat) microarrays, expressed in the epididymis of both species, and differentially expressed by more than fourfold in between segments in each species. Moreover, in-depth quantitative RT-PCR analysis of 36 members of the beta defensin gene family showed highly conserved patterns of expression along the lengths of the mouse and rat epididymides. These analyses elucidate global gene expression patterns along the length of the rat epididymis and provide a novel evaluation of conserved and nonconserved gene expression patterns in the epididymides of the two species. Furthermore, these data provide a powerful resource for the research community for future studies of biological factors that mediate sperm maturation and storage.

Animals↗

PubMed2004

Global transcriptome analysis of the heat shock response of Shewanella oneidensis.

Shewanella oneidensis is an important model organism for bioremediation studies because of its diverse respiratory capabilities. However, the genetic basis and regulatory mechanisms underlying the ability of S. oneidensis to survive and adapt to various environmentally relevant stresses is poorly understood. To define this organism's molecular response to elevated growth temperatures, temporal gene expression profiles were examined in cells subjected to heat stress by using whole-genome DNA microarrays for S. oneidensis. Approximately 15% (n = 711) of the total predicted S. oneidensis genes (n = 4,648) represented on the microarray were significantly up- or downregulated (P < 0.05) over a 25-min period after shift to the heat shock temperature. As expected, the majority of the genes that showed homology to known chaperones and heat shock proteins in other organisms were highly induced. In addition, a number of predicted genes, including those encoding enzymes in glycolysis and the pentose cycle, serine proteases, transcriptional regulators (MerR, LysR, and TetR families), histidine kinases, and hypothetical proteins were induced. Genes encoding membrane proteins were differentially expressed, suggesting that cells possibly alter their membrane composition or structure in response to variations in growth temperature. A substantial number of the genes encoding ribosomal proteins displayed downregulated coexpression patterns in response to heat stress, as did genes encoding prophage and flagellar proteins. Finally, a putative regulatory site with high conservation to the Escherichia coli sigma32-binding consensus sequence was identified upstream of a number of heat-inducible genes.

Bacterial Proteins↗

PubMed2006

Distinct reorganization of the genome transcription associates with organogenesis of somatic embryo, shoots, and roots in rice.

Most plant cells retain the capacity to differentiate into all the other cell and organ types that constitute a plant. However, genome-wide transcriptional activities underlying the process of cell differentiation are poorly understood, especially in monocot plants. Here we used a rice (Oryza sativa) cell culture system to generate somatic embryos, which were further induced into shoots and roots. The global transcriptional reorganization during the development of somatic embryos, shoots, and roots from cultured cells was studied using a rice whole genome microarray and verified by RNA blotting analysis of representative genes. Overall, only 1-3% of expressed genes were differentially regulated during each organogenesis process at the examined time point. Also metabolic pathways were minimally regulated. Thus the genes that dictating organ formation should be relatively small in number. Comparison of these three transcriptomes revealed little overlap during these three organogenesis processes. These results indicate that each organogenesis involves specific reorganization of genome expression.

Cells, Cultured↗

PubMed2025

Altered ruminal microbiome tryptophan metabolism and their derived 3-indoleacetic acid inhibit ruminal inflammation in subacute ruminal acidosis goats.

BACKGROUND: Subacute ruminal acidosis (SARA) is a digestive disorder that often severely jeopardizes the health and lactation performance of ruminants fed a high-energy diet. Different dairy ruminants exhibit varying degrees of inflammation accompanied by variations in the rumen microbiota when SARA occurs. Our understanding of the occurrence of SARA and varying degrees of rumen epithelial inflammation is lacking. Hence, we performed rumen metagenomic, metagenome-assembled genome and metabolomic analyses, with transcriptome and single-nucleus RNA sequence analyses, to explore the microbial mechanism of SARA occurrence and different degrees of inflammation. RESULTS: A total of 36 goats fed two diets with gradually increasing levels of rumen-degradable starch (RDS) were included in this study, and SARA goats fed 70% concentrate diets supplemented with whole corn (HGW-SARA) and SARA goats fed 70% concentrate diets supplemented with crushed corn (HGC-SARA) were identified. Moreover, 11 goats fed a control basal diet, named LGW-CON, were also included. Compared with those in the LGW-CON group, the rumen fermentation capacity was enhanced, accompanied by ruminal epithelial and systemic inflammation, in goats from HGW-SARA and HGC-SARA. Between them, HGC-SARA goats presented less inflammation. Notably, the ruminal inflammation-related pathways were increased only in the HGW-SARA group but not in the HGC-SARA group. Metagenomic analysis revealed that the β diversity of SARA goats was significantly different from that of LGW-CON goats. Ruminococcus significantly increased in both SARA groups, whereas Prevotella and Bacteroidales significantly decreased, which was accompanied by a decrease in cellulose and hemicellulose enzymes and an increase in lysozymes and lipopolysaccharide synthesis enzymes. Multi-omics analysis of the ruminal contents and tissues suggested that epithelial inflammation was caused by disturbed ruminal microbiome-induced Th17 cell differentiation and IL-17 signalling pathway activation. Comparative analyses between the HGW-SARA and HGC-SARA groups highlighted the importance of Selenomonas and Bifidobacterium, as well as bacterial tryptophan metabolism, in the production of 3-indoleacetic acid, which mitigated ruminal epithelial inflammation by modulating Th17 cells and inhibiting IL-17 signalling. Ruminal microbiota transplantation from HGW-SARA goats to healthy dairy goats and mice revealed the role of microbes in epithelial inflammation. Additionally, 3-indoleacetic acid supplementation reduced rumen inflammation and the IL-17 concentration in the serum, improved VFAs absorption, and enhanced milk production. CONCLUSIONS: This study unveiled that after SARA was induced by high-concentrate feeding, the rumen homeostasis was disrupted, and rumen fiber degradation capacity of dairy goats decreased, but the LPS synthesis capacity increased, and inflammation of the rumen epithelium was observed. However, the ruminal microbial species from the Bifidobacterium and Selenomonas genera and bacterial 3-indole acetic acid are pivotal in mitigating ruminal epithelial inflammation during SARA in dairy goats. This could potentially be attributed to the modulation of ruminal Th17 cell proportions and the inhibition of IL-17 signalling pathways. Video Abstract.

Rumen↗

PubMed2026

Integrin α3 (ITGA3) expression across breast cancer subtypes: Prognosis and therapeutic relevance.

BACKGROUND: Integrin α3 (ITGA3), which heterodimerizes with integrin β1, has emerged as a potential biomarker and therapeutic target in several epithelial malignancies; however, its clinical relevance in breast cancer remains incompletely characterized. This study evaluated ITGA3 expression across breast cancer molecular subtypes and assessed its prognostic and predictive significance. METHODS: Immunohistochemistry (IHC) was performed on archival breast cancer specimens using tissue microarrays (n = 148) and whole-tissue sections (n = 21). Complete clinicopathologic and outcome data were available for 108 patients, including hormone receptor-positive/human epidermal growth factor receptor 2-negative, HER2-positive, and triple-negative breast cancer (TNBC) subtypes. ITGA3 expression was quantified using H-scores and correlated with clinicopathologic features and survival outcomes. Independent transcriptomic analyses were conducted using the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) and the Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) cohorts to evaluate ITGA3 mRNA expression, co-expressed signaling pathways, and associations with therapeutic response. RESULTS: ITGA3 protein expression was detected in 85.2% of breast cancer specimens and was significantly higher in HR-positive/HER2-negative and HER2-positive tumors compared with TNBC (p < 0.0050). High ITGA3 expression was associated with shorter recurrence-free survival (p < 0.0001). In the METABRIC cohort, tumors with ITGA3 alterations demonstrated significantly worse relapse-free survival (p < 0.0001) and overall survival (p < 0.0500). Transcriptomic analyses revealed that ITGA3 co-expressed with estrogen receptor 1(ESR1), erb-b2 receptor tyrosine kinase 2 (ERBB2), and luminal markers, along with enrichment of estrogen receptor and phosphoinositide 3-kinase-protein kinase B-mechanistic target of rapamycin (PI3K/AKT/mTOR) signaling pathways. ITGA3 expression was not predictive of response to tamoxifen or trastuzumab. CONCLUSION: Elevated ITGA3 expression is associated with breast cancer recurrence and poor clinical outcomes, supporting its potential role as a prognostic biomarker and candidate therapeutic target.

Biomarkers↗

PubMed2006

Regional copy number-independent deregulation of transcription in cancer.

Genetic and epigenetic alterations have been identified that lead to transcriptional deregulation in cancers. Genetic mechanisms may affect single genes or regions containing several neighboring genes, as has been shown for DNA copy number changes. It was recently reported that epigenetic suppression of gene expression can also extend to a whole region; this is known as long-range epigenetic silencing. Various techniques are available for identifying regional genetic alterations, but no large-scale analysis has yet been carried out to obtain an overview of regional epigenetic alterations. We carried out an exhaustive search for regions susceptible to such mechanisms using a combination of transcriptome correlation map analysis and array CGH data for a series of bladder carcinomas. We validated one candidate region experimentally, demonstrating histone methylation leading to the loss of expression of neighboring genes without DNA methylation.

Cell Line, Tumor↗

PubMed2026

Host Genetic Regulation of NLRP3 Inflammasome Cytokines Reveals Immune and Vascular Pathways in HIV.

People with HIV exhibit elevated inflammation and cardiovascular risk despite antiretroviral therapy. To define the genetic architecture of inflammasome-associated inflammation, we performed whole-genome sequencing and quantified plasma IL-6, IL-1β, and IL-18 in 1,000 ART-suppressed PWH from the U.S. Military HIV Natural History Study. Genome-wide analyses identified 14 loci implicating antiviral defense (DDX17, DDX41, EEA1, BCL11A), lipid metabolism (ABCA1, ABCA12, ABCC1, AGMO), and vascular remodeling (KLHL29, RNF213, ETV1). Transcriptome-wide analyses across cardiovascular and immune tissues identified regulatory programs linking interferon signaling, immune activation, and vascular biology to circulating cytokine levels. Mendelian randomization analyses supported causal relationships between inflammasome-associated cytokines and vascular events. Functional integration with genome-wide CRISPR perturbation datasets in primary CD4+ T cells linked cytokine-associated loci to HIV antiviral pathways and cytokine regulatory networks. External validation in cohorts without HIV demonstrated pathway-level convergence despite limited variant-level overlap. These findings define genetic mechanisms linking inflammasome signaling, antiviral defense, and cardiovascular risk.

HIV↗

PubMed2026

Integrative Multi-Omics Analysis of Stem Growth Habit Divergence in Wild Soybean (Glycine soja).

Stem architecture is a major determinant of lodging resistance, biomass accumulation, and harvest efficiency in soybean. However, the molecular features associated with contrasting stem growth habits in wild soybean remain incompletely characterised. Here, we performed an integrated transcriptomic, metabolomic, and epigenomic analysis of stem growth-habit divergence in wild soybean, comparing the wild-type accession ZYD7068 with contrasting vining and erect mutant lines derived from carbon-ion beam mutagenesis. Pairwise transcriptomic comparisons identified between 20 311 and 28 705 differentially expressed genes per contrast, with a core set of 2672 genes consistently altered across the comparisons. Functional enrichment, gene set variation analysis, and gene set enrichment analysis converged on xylem and phloem pattern formation as a prominent molecular pathway associated with growth-habit divergence. Random forest analysis identified BBR-BPC and ARF transcription factor families as major molecular discriminators, while metabolomic profiling revealed distinct metabolic profiles involving amino-acid-derived and lipid-associated metabolites. Whole-genome bisulfite sequencing revealed context-specific DNA methylation differences, including substantial variation in CHG methylation among erect mutant lines. Integrated network and in silico perturbation analyses prioritised four candidate genes associated with vascular development for future functional validation. Together, these results provide a multi-layer molecular resource for investigating stem growth-habit divergence in G. soja and establish testable candidate pathways and genes for subsequent functional studies and soybean improvement.

glycine soja↗

PubMed2005

Tuberculosis: from genome to vaccine.

The availability of mycobacterial genome sequences has paved the way to identifying potential tuberculosis vaccine candidates in order to replace the currently used bacillus Calmette-Guérin (BCG) vaccines that show variable protective efficacy in adults. Genomics provides the basis for bioinformatic, transcriptomic and proteomic analysis, increases screening efficiency and enables valuable information concerning the biology and virulence of the mycobacterial species to be extracted by comparative genomics. Although in silico results must be confirmed in vitro and in vivo, bioinformatic analysis of the genomes is highlighting candidates for testing. For designing subunit vaccines, attenuated or improved recombinant whole-cell live vaccines, information from the genomes of the human host and pathogenic mycobacterial species is of great help.

Animals↗

PubMed2026

COMMD9-regulated endothelial cell abnormality-induced hypercoagulability is associated with Budd-Chiari syndrome.

BACKGROUND: Budd-Chiari syndrome (BCS) presents diagnostic and treatment challenges owing to its insidious onset. Genetic variants associated with BCS vary geographically; in Asian populations, the condition is primarily caused by membranous obstruction composed of endothelial cells (ECs). A better understanding of the genetic pathogenesis of membranous BCS may offer new insights into disease mechanisms. METHODS: This study employed whole-exome sequencing to identify candidate genes responsible for EC abnormalities in 485 patients with membranous BCS and 329 patients with vascular malformations (VaMs). Functional investigations were conducted to validate the selected genes in vitro and in vivo. RESULTS: Whole-exome data revealed that the frequency of variants in the vascular function-related KLHDC2 exceeded that of JAK2 in BCS. Knockdown of KLHDC2 promoted adhesion and suppressed proliferation of ECs. In addition, 92 genes enriched for rare variants overlapped between BCS and VaMs. Systems biology analysis revealed two gene clusters, including COMMD9, enriched in proteins intolerant to loss-of-function mutations. Furthermore, suppression of COMMD9 impaired EC migration and tube formation, inhibited subintestinal angiogenic sprouting in zebrafish, and elevated EC adhesion. Transcriptomic analysis linked COMMD9 to EC abnormalities via the PI3K-Akt pathway. Commd9 knockdown promoted venous hypercoagulability in vivo following drug or ligation-induced stenosis. CONCLUSIONS: These findings indicate that multiple rare genetic variants, particularly in COMMD9, are involved in the development of membranous BCS by regulating hypercoagulability induced by EC abnormalities. These findings may help guide future clinical research towards improved understanding and treatment of BCS.

Budd–Chiari syndrome↗

PubMed2005

Transcriptome analysis of human hepatic and pancreatic stellate cells: organ-specific variations of a common transcriptional phenotype.

Pancreatic stellate cells (PSCs) are thought to be the primary source of the extensive fibrotic reaction characteristic of pancreatic cancer and chronic pancreatitis in humans. PSCs share many morphological and functional characteristics with hepatic stellate cells (HSCs), whose central role in liver fibrosis is well established. However, it has remained unclear if hepatic and pancreatic stellate cells are derived from a common cell lineage and if they are completely similar or if they possess organ-specific features. We have analysed the transcriptomes of HSCs, PSCs and skin fibroblasts to assess how the transcriptional phenotype of stellate cells differs from that of a typical fibroblast lineage cell and if there is evidence for a common stellate cell precursor. To this end, we have performed expression profiling of primary cultures of human HSCs, PSCs and skin fibroblasts using 23,000-feature 'whole genome' oligonucleotide micro-arrays. Expression data were verified using real-time PCR. The expression profiles of HSCs and PSCs displayed a great extent of similarity, clearly separating them from the fibroblasts. Predominantly extracellular and cell surface genes, but also signalling molecules, transcription factors and novel neural markers, were concordantly expressed in both stellate cell types. Despite this high degree of similarity, distinct differences in expression patterns were observed between HSCs and PSCs, reflecting organ-specific variations of the common stellate cell-specific phenotype.

Cell Lineage↗