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PubMed2005

Disclosing hidden transcripts: mouse natural sense-antisense transcripts tend to be poly(A) negative and nuclear localized.

Genome-wide in silico analysis identified thousands of natural sense-antisense transcript (SAT) pairs in the mouse transcriptome. We investigated their expression using strand-specific oligo-microarray that distinguishes expression of sense and antisense RNA from 1947 SAT pairs. The majority of the predicted SATs are expressed at various steady-state levels in various tissues, and cluster analysis of the array data demonstrated that the ratio of sense and antisense expression for some of the SATs fluctuated markedly among these tissues, while the rest was unchanged. Surprisingly, further analyses indicated that vast amounts of multiple-sized transcripts are expressed from the SAT loci, which tended to be poly(A) negative, and nuclear localized. The tendency that the SATs are often not polyadenylated is conserved, even in the randomly chosen SAT genes in the plant Arabidopsis thaliana. Such common characteristics imply general roles of the SATs in regulation of gene expression.

Animals↗

PubMed2006

Dioecious Schistosoma mansoni express divergent gene repertoires regulated by pairing.

Pairing of adult Schistosoma mansoni parasites initiates a cascade of events including mating and egg production that ultimately leads to immuno-pathological lesions during schistosomiasis. To identify genes associated with this important biological process, we studied parasites isolated from single- versus mixed-sex cercariae-infected mice using DNA microarray analysis to uncover pair-regulated transcriptional profiles. We report that: (i) transcriptomes of parasites isolated from single-sex infections are significantly more complex than their mixed-sex counterparts; (ii) transcriptomes of single-sex males are distinct from mixed-sex males; and (iii) not all transcripts, previously hypothesized to be critical in female egg production, are regulated by pairing.

Animals↗

PubMed2005

The transcriptome of HCV replicon expressing cell lines in the presence of alpha interferon.

We have used DNA microarray analysis of human hepatoma and epithelial carcinoma cells expressing hepatitis C virus (HCV) subgenomic replicons to test whether HCV replication alters gene expression and influences the alpha interferon (IFN-alpha) response. We directly compared the HCV replicon system with a similar system based on a subgenomic replicon of the West Nile virus (WNV) subtype Kunjin virus. We found that in contrast to WNV replicons, persistent replication of HCV replicons did not significantly alter the transcriptome of infected cells nor did it inhibit the nature of the IFN-stimulated genes (ISGs). Our results also provided evidence for the existence of a small number of ISGs that could play a role in the inhibition of HCV replication by IFN-alpha. Finally, we identified ISGs that are activated by the cytokine in a cell-type specific fashion.

Cell Line↗

PubMed2004

Molecular evidence for stem cell function of the slow-dividing fraction among human hematopoietic progenitor cells by genome-wide analysis.

The molecular mechanisms that regulate asymmetric divisions of hematopoietic progenitor cells (HPCs) are not yet understood. The slow-dividing fraction (SDF) of HPCs is associated with primitive function and self-renewal, whereas the fast-dividing fraction (FDF) predominantly proceeds to differentiation. CD34+/CD38- cells of human umbilical cord blood were separated into the SDF and FDF. Genomewide gene expression analysis of these populations was determined using the newly developed Human Transcriptome Microarray containing 51 145 cDNA clones of the Unigene Set-RZPD3. In addition, gene expression profiles of CD34+/CD38- cells were compared with those of CD34+/CD38+ cells. Among the genes showing the highest expression levels in the SDF were the following: CD133, ERG, cyclin G2, MDR1, osteopontin, CLQR1, IFI16, JAK3, FZD6, and HOXA9, a pattern compatible with their primitive function and self-renewal capacity. Furthermore, morphologic differences between the SDF and FDF were determined. Cells in the SDF have more membrane protrusions and CD133 is located on these lamellipodia. The majority of cells in the SDF are rhodamine-123dull. These results provide molecular evidence that the SDF is associated with primitive function and serves as basis for a detailed understanding of asymmetric division of stem cells.

ADP-ribosyl Cyclase↗

PubMed2026

Multi-omics identifies lipid accumulation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome cell lines: a case-control study.

BACKGROUND: In recent years, evidence has indicated a metabolic shift towards increased demand for lipids in various lymphoid cell populations from people with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). We previously screened the mitochondrial function and gene expression of B cell-derived lymphoblastoid cell lines (LCLs) generated from the blood of people with ME/CFS to characterise a model for hypothesis discovery and testing, observing elevated expression of gene products facilitating amino acid and fatty acid degradation for energy. METHOD: In this follow-up study we have expanded this characterisation by profiling the polar metabolomes and non-polar lipidomes of an all-female cohort of 17 healthy control and 15 ME/CFS LCLs, and we integrated this new data with the previously generated proteomic and transcriptomic data. RESULTS: In the polar metabolome we detected no significantly altered individual features, while integrated multi-omic analysis by MetaboAnalyst indicated 15 dysregulated pathways. Next, in the non-polar lipidome, we identified that PC(O-38:4) had significantly reduced levels in ME/CFS LCLs and was almost entirely discriminative of ME/CFS status. Among all detected classes of lipids we found that triradylglycerolipids ("triglycerides"), diradylglycerolipids and fatty acids were the most significantly affected and were elevated, and that most lipids exhibited average levels higher than in healthy controls. BioPAN pathway analysis of the lipidomic data predicted a more-active gene product that we confirmed to be significantly elevated in both our proteomic and transcriptomic data, this being phosphatidylserine synthase 1 (PTDSS1), plus 7 other gene products that were concordantly altered in expression in the transcriptomic data. We also found that ME/CFS LCLs exhibited a significant tendency towards more saturated lipid content. CONCLUSIONS: LCLs generated from circulating B cells from people with ME/CFS show accumulation of lipids, skewed lipid profiles and altered activity of related metabolic enzymes such as PTDSS1. These findings will inform future hypothesis-driven studies of primary lymphoid cell populations from people with ME/CFS to dissect specific immunometabolic mechanisms that may be involved in the syndrome, particularly relating to intersections between lipid abnormalities and potential effects on immune cell effector functions.

Fatigue Syndrome, Chronic↗

PubMed2003

Global analysis of gene expression using GeneChip microarrays.

DNA microarray technology, especially the use of GeneChip microarrays, has become a standard tool for parallel gene expression analysis. Recent improvements in GeneChip microarrays enable whole-genome expression analysis, and thus open a new avenue for studies of the composition, dynamics, and regulation of the transcriptome in plants.

Computational Biology↗

PubMed2005

Towards replacing closed with open target selection strategies.

Increasingly, microbial production processes are being improved by targeted approaches. In directed strain improvement, the selection of the relevant targets is the limiting step in metabolic engineering. Currently, the identification of leads is still a random process relying largely on expert knowledge. Recently, this approach has been complemented by metabolic flux and control analysis approaches. However, both are closed approaches, and biological processes or interactions that are not currently known to exist, or to be important for bioproduct formation, are not taken into account. By contrast, the recently introduced functional genomics technologies enable an open approach towards target selection. In the near future, we might see that metabolomics, and its integration with transcriptomics and/or proteomics into a systems biology approach, in combination with multivariate data analysis tools, will become of increasing importance for the unbiased selection and ranking of targets, not only for strain improvement but also for bioprocess improvement.

Bacteria↗

PubMed2004

A bioinformatics analysis of alternative exon usage in human genes coding for extracellular matrix proteins.

Alternative splicing increases protein diversity through the generation of different mRNA molecules from the same gene. Although alternative splicing seems to be a widespread phenomenon in the human transcriptome, it is possible that different subgroups of genes present different patterns, related to their biological roles. Analysis of a subgroup may enhance common features of its members that would otherwise disappear amidst a heterogeneous population. Extracellular matrix (ECM) proteins are a good set for such analyses since they are structurally and functionally related. This family of proteins is involved in a large variety of functions, probably achieved by the combinatorial use of protein domains through exon shuffling events. To determine if ECM genes have a different pattern of alternative splicing, we compared clusters of expressed sequences of ECM to all other genes regarding features related to the most frequent type of alternative splicing, alternative exon usage (AEU), such as: the number of alternative exon-intron structures per cluster, the number of AEU events per exon-intron structure, the number of exons per event, among others. Although we did not find many differences between the two sets, we observed a higher frequency of AEU events involving entire protein domains in the ECM set, a feature that could be associated with their multi-domain nature. As other subgroups or even the ECM set in different tissues could present distinct patterns of AEU, it may be premature to conclude that alternative splicing is homogeneous among groups of related genes.

Alternative Splicing↗

PubMed2004

Use of the Serial Analysis of Gene Expression (SAGE) method in veterinary research: A concrete application in the study of the bovine trypanotolerance genetic control.

New postgenomic biotechnologies, such as transcriptome analyses, are now able to characterize the full complement of genes involved in the expression of specific biological functions. One of these is the Serial Analysis of Gene Expression (SAGE) technique, which consists of the construction of transcripts libraries for a quantitative analysis of the entire gene(s) expressed or inactivated at a particular step of cellular activation. Bioinformatic comparisons in the bovine genomic databases allow the identification of several up- and downregulated genes, expressed sequence tags, and unknown functional genes directly involved in the genetic control of the studied biological mechanism. We present and discuss the preliminary results in comparing the expressed genes in two total mRNA transcripts libraries obtained during an experimental Trypanosoma congolense infection in one trypanotolerant N'Dama animal cow. Knowing all the functional genes involved in the trypanotolerance control will permit validation of some results obtained with the quantitative trait locus approach, to set up specific microarrays sets for further metabolic and pharmacological studies, and to design field marker-assisted selection by introgression programs.

Animals↗

PubMed2006

Statistical analysis of CDR3 length distributions for the assessment of T and B cell repertoire biases.

Complementarity-determining region 3 (CDR3) length distribution analysis explores the diversity of the T cell receptor (TCR) and immunoglobulin (Ig) repertoire at the transcriptome level. Studies of the CDR3, the most hypervariable part of these molecules, have been frequently used to identify recruitment of T and B cell clones involved in immunological responses. CDR3 length distribution analysis gives a clear perception of repertoire variations between individuals and over time. However, the complexity of CDR3 length distribution patterns and the high number of possible repertoire alterations per individual called for the development of robust data analysis methods. The goal of these methods is to identify, quantify and statistically assess differences between repertoires so as to offer a better diagnostic or predictive tool for pathologies involving the immune system. In this review we will explain the benefit of analyzing CDR3 length distribution for the study of immune cell diversity. We will start by describing this technology and its associated data processing, and will subsequently focus on the statistical methods used to compare CDR3 length distribution patterns. Finally, we will address the various methods for assessing CDR3 length distribution gene signatures in pathological states.

Animals↗

PubMed2006

Fusarium graminearum-induced changes in gene expression between Fusarium head blight-resistant and susceptible wheat cultivars.

Fusarium head blight (FHB), primarily caused by Fusarium graminearum Schw., is a destructive disease of wheat (Triticum aestivum L.). Although several genes related to FHB resistance have been reported, global analysis of gene expression in response to FHB infection remains to be explored. The expression patterns of transcriptomes from wheat spikes of FHB-resistant cultivar Ning 7840 and susceptible cultivar Clark were monitored during a period of 72 h after inoculation (hai) with F. graminearum. Microarray analysis, coupled with suppression subtractive hybridization technique, identified 44 significantly differentially expressed genes between cv. Ning 7840 and cv. Clark. More differentially expressed genes were identified from susceptible libraries than from resistance libraries. The up-regulation of defense-related genes in Ning 7840 relative to cultivar Clark occurred during early fungal stress (3-12 hai). Three genes, with unknown function that were up-regulated in cv. Ning 7840 at most time points investigated, might play an important role in enhancing FHB resistance.

Fusarium↗

PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

PubMed2025

Unravelling the transcriptomic characteristics of bronchoalveolar lavage in post-covid pulmonary fibrosis.

BACKGROUND: Post-Covid Pulmonary Fibrosis (PCPF) has emerged as a significant global issue associated with a poor quality of life and significant morbidity. Currently, our understanding of the molecular pathways of PCPF is limited. Hence, in this study, we performed whole transcriptome sequencing of the RNA isolated from the bronchoalveolar lavage (BAL) samples of PCPF and compared it with idiopathic pulmonary fibrosis (IPF) and non-ILD (Interstitial Lung Disease) control to understand the gene expression profile and associated pathways. METHODS: BAL samples from PCPF (n = 3), IPF (n = 3), and non-ILD Control (n = 3) (individuals with apparent healthy lung without interstitial lung disease) groups were obtained and RNA were isolated for whole transcriptomic sequencing. Differentially Expressed Genes (DEGs) were determined followed by functional enrichment analysis and qPCR validation. RESULTS: A panel of differentially expressed genes were identified in bronchoalveolar lavage fluid cells (BALF) of PCPF as compare to control and IPF. Our analysis revealed dysregulated pathways associated with cell cycle regulation, immune responses, and neuroinflammatory processes. Real-time validation further supported these findings. The PPI network and module analysis shed light on potential biomarkers and underscore the complex interplay of molecular mechanisms in PCPF. The comparison of PCPF and IPF identified a significant downregulation of pathways that were more prominent in IPF. CONCLUSION: This investigation provides crucial insights into the molecular mechanism of PCPF and also outlines avenues for prospective research and the development of therapeutic approaches.

Humans↗

PubMed2002

A microarray-assisted screen for potential Hap1 and Rox1 target genes in Saccharomyces cerevisiae.

Saccharomyces cerevisiae adapts to altered oxygen availability by differentially expressing a number of genes. Under aerobic conditions oxygen control of gene expression is exerted through the activator Hap1 and the repressor Rox1. The Hap1 transcription factor senses cellular heme status and increases expression of aerobic genes in response to oxygen. The repression of hypoxic genes under normoxic conditions results from Hap1-mediated activation of ROX1 transcription. To allow the identification of additional Hap1 and Rox1 target genes, genome-wide expression was analysed in aerobically, chemostat-cultivated hap1 and rox1 null mutants. The microarray results show that deletion of HAP1 causes a lower transcript level of 51 genes. Transcription of 40 genes was increased in rox1 mutant cells compared to wild-type cells. Combining these results with our previously described transcriptome data of aerobically and anaerobically grown cells and with computational analysis of the promoters identified 24 genes that are potentially regulated by Hap1, and 38 genes satisfied the criteria of being direct targets of Rox1. In addition, this work provides further evidence that Rox1 controls transcription of anaerobic genes through repression under normoxic conditions.

Anaerobiosis↗

PubMed2026

Biocontrol efficacy of Bacillus albus SSR3 for controlling postharvest fungal pathogens and mycotoxin contamination.

Sweetpotato black rot, caused by Ceratocystis fimbriata, is a major postharvest disease that leads to substantial storage losses worldwide. In this study, a salt-tolerant rhizobacterial strain, Bacillus albus SSR3, was isolated from the rhizosphere of sweetpotato grown in saline-alkali soil, with broad-spectrum antagonistic activity against postharvest fungal pathogens. LC-MS/MS analysis revealed diverse bioactive metabolites associated with its antifungal activity. Integrated transcriptomic and metabolomic analyses showed that SSR3 bioactive metabolites extensively reprogrammed fungal metabolism, particularly pathways involved in carbohydrate and amino acid metabolism, antioxidant defense, and energy production. These alterations were accompanied by disruption of cell wall and membrane integrity, excessive reactive oxygen species accumulation, and mitochondrial dysfunction, ultimately inhibiting fungal growth. Here, we also found that SSR3 bioactive metabolites effectively inhibited aflatoxin B1 production by Aspergillus flavus and deoxynivalenol accumulation in Fusarium graminearum. In vivo assays further demonstrated that SSR3 bioactive metabolites significantly reduced sweetpotato black rot severity and effectively limited fungal colonization and mycotoxin contamination in stored agricultural commodities. Collectively, our findings demonstrate that B. albus SSR3 suppresses postharvest fungal pathogens through coordinated metabolic reprogramming, oxidative stress induction, and cellular integrity disruption, highlighting its potential as a sustainable biocontrol agent for postharvest disease management.

Bacillus albus↗

PubMed2026

Long-day photoperiod promotes growth of pea (Pisum sativum L.) via auxin biosynthesis and polar transport.

Photoperiodic sensitivity is an essential factor that may affect agricultural practices under current climate scenarios. This study used pea (Pisum sativum) to examine effects of varying photoperiods on growth and photosynthetic parameters and then reveal the mechanistic basis of this process by linking them with tissue-specific distribution of auxin and regulation of related genes. This was achieved by transcriptome sequencing, genome-wide gene family identification, and expression pattern analysis. Best results in terms of growth and yield were obtained with a 20 h/4 h light/dark photoperiod and these plants had the highest content of endogenous indole-3-acetic acid (IAA) in both the shoot apex and the root. Genes consistently upregulated with prolonged light exposure were significantly enriched in pathways related to light signal transduction, photosynthetic carbon metabolism, and phytohormone signal transduction. Through genome-wide identification, we characterized the TAA/TAR and YUCCA families (key gene families involved in auxin biosynthesis) as well as the PIN family (responsible for auxin polar transport) in pea. Extending the light duration positively affected expression of several genes related to auxin biosynthesis and transport, among them members of the Elongated Hypocotyl (HY) and Phytochrome-Interacting Factor (PIF) families being key light-induced transcription factors, PsTAR2, the principal gene regulating auxin biosynthesis, as well as PsPIN4, PsPIN5, PsPIN11, and PsPIN13 which mediate polar auxin transport. By elucidating mechanisms underlying the coordinated regulation of pea growth by light and auxin, this work provides a significant reference for photoperiod research on long-day crops for both protected- and field-based horticulture.

Auxin↗

PubMed2004

Discovery of meaningful associations in genomic data using partial correlation coefficients.

MOTIVATION: A major challenge of systems biology is to infer biochemical interactions from large-scale observations, such as transcriptomics, proteomics and metabolomics. We propose to use a partial correlation analysis to construct approximate Undirected Dependency Graphs from such large-scale biochemical data. This approach enables a distinction between direct and indirect interactions of biochemical compounds, thereby inferring the underlying network topology. RESULTS: The method is first thoroughly evaluated with a large set of simulated data. Results indicate that the approach has good statistical power and a low False Discovery Rate even in the presence of noise in the data. We then applied the method to an existing data set of yeast gene expression. Several small gene networks were inferred and found to contain genes known to be collectively involved in particular biochemical processes. In some of these networks there are also uncharacterized ORFs present, which lead to hypotheses about their functions. AVAILABILITY: Programs running in MS-Windows and Linux for applying zeroth, first, second and third order partial correlation analysis can be downloaded at: http://mendes.vbi.vt.edu/tiki-index.php?page=Software. SUPPLEMENTARY INFORMATION: Supplementary information can be found at: URL to be decided.

Algorithms↗

PubMed2006

The majority of Escherichia coli mRNAs undergo post-transcriptional modification in exponentially growing cells.

Polyadenylation of RNAs by poly(A) polymerase I (PAP I) in Escherichia coli plays a significant role in mRNA decay and general RNA quality control. However, many important features of this system, including the prevalence of polyadenylated mRNAs in the bacterium, are still poorly understood. By comparing the transcriptomes of wild-type and pcnB deletion strains using macroarray analysis, we demonstrate that >90% of E.coli open reading frames (ORFs) transcribed during exponential growth undergo some degree of polyadenylation by PAP I, either as full-length transcripts or decay intermediates. Detailed analysis of over 240 transcripts suggests that Rho-independent transcription terminators serve as polyadenylation signals. Conversely, mRNAs terminated in a Rho-dependent fashion are probably not substrates for PAP I, but can be modified by the addition of long polynucleotide tails through the biosynthetic activity of polynucleotide phosphorylase (PNPase). Furthermore, real-time PCR analysis indicates that the extent of polyadenylation of individual full-length transcripts such as lpp and ompA varies significantly in wild-type cells. The data presented here demonstrates that polyadenylation in E.coli occurs much more frequently than previously envisioned.

Escherichia coli↗