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At least 1,693 records · Page 94Linked to original sources
PubMed2026

Integrated Genomic and Proteomic Analysis Reveals T-B Lymphocyte Signatures in the MYCN Driven "Immune Desert" of Specific Neuroblastoma Subtypes.

AIMS: This study aims to systematically dissect how MYCN amplification shapes the immunosuppressive tumor microenvironment (TME) in high-risk neuroblastoma, elucidating key mechanisms underlying immune evasion. METHODS: We performed an integrated multi-omics analysis of bulk RNA-seq (n = 721), single-cell RNA-seq (n = 9), proteomic data (n = 49) and spatial transcriptomics (Visium, with external validation in melanoma). Analyses included unsupervised clustering, cell-cell communication inference, transcriptional regulatory network reconstruction, and spatial proximity assessment to map the immune landscape. RESULTS: A distinct molecular subtype (Class C), defined by MYCN amplification and poor prognosis, exhibited a comprehensive "immune desert" phenotype characterized by low immune scores and minimal leukocyte infiltration. Single-cell analysis confirmed significant depletion of T and B lymphocytes within the Class C TME. Dysregulated transcriptional networks were identified, including upregulation of REL and EOMES in T cells-with EOMES potentially driving exhaustion via regulation of Transient Receptor Potential (TRP) genes, and REL inhibition enhancing cytotoxic function in vitro. A unique immunosuppressive B-cell subset (B7) engaged in enhanced crosstalk with exhausted T cells and harbored a MYC-centered network linked to cell cycle dysregulation and poor survival. Spatial transcriptomics revealed significant proximity between B7-active regions and Treg/exhaustion-enriched areas, externally validated in melanoma. Proteomic data validated elevated REL expression in MYCN-amplified tumors. CONCLUSION: This work delineates the immunosuppressive architecture of MYCN-driven neuroblastoma, revealing novel regulatory nodes within specific lymphocyte compartments. Integrating single-cell, spatial, and proteomic evidence, we propose REL inhibition as a therapeutic candidate, the EOMES/TRP axis as a bioinformatically supported hypothesis, and the B7/MYC hub as a hypothesis supported by transcriptomic and spatial evidence.

Humans↗
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↗
PubMed2005

Changing genetic world of IVF, stem cells and PGD. B. Polarities and gene expression in differentiating embryo cells and stem cells.

Novel genetic techniques in the later twentieth century led to new analytical methods for assessing the growth of embryos and stem cells and improve preimplantation diagnosis. Increasing attention to the nature of polarities in mouse and human embryos revealed the existence of an animal-vegetal axis in human oocytes and embryos. Combinations of meridional and transverse cleavage divisions, the latter due to spindle rotation, determined the unequal division of ooplasm to embryonic blastomeres. Blastomeres with differing functions were accordingly formed in 4-cell embryos, including founders of inner cell mass and trophectoderm. New forms of gene analysis led to the polymerase chain reaction, while fluorescence in-situ hybridization revealed astonishingly high degrees of heteroploidy in human embryos. Developmental genetics gained immense analytical power as cDNA libraries, microarrays, transcriptomes RNAi and other methods clarified the roles of hundreds of genes in pre- and early post-implantation embryos and stem cells.

Animals↗
PubMed2006

Mechanisms of patulin toxicity under conditions that inhibit yeast growth.

Patulin, 4-hydroxy-4H-furo[3,2c]pyran-2(6H)-one, is one of the best characterized and most widely disseminated mycotoxins found in agricultural products. Nonetheless, the mechanisms by which patulin causes toxicity are not well understood. Thus, the cytotoxicity of patulin was characterized by analysis of the yeast transcriptome upon challenge with patulin. Interestingly, patulin-induced yeast gene expression profiles were found to be similar to gene expression patterns obtained after treatment with the antifungal agricultural chemicals thiuram, maneb, and zineb. Moreover, patulin treatment was found to activate protein degradation, especially proteasome activities, sulfur amino acid metabolism, and the defense system for oxidative stress. Damage to DNA by alkylation was also suggested, and this seemed to be repaired by recombinational and excision repair mechanisms. Furthermore, the results provide potential biomarker genes for the detection of patulin in agricultural products. The results suggest the possibility of applying the yeast transcriptome system for the evaluation of chemicals, especially for natural chemicals that are difficult to get by organic synthesis.

Amino Acids, Sulfur↗
PubMed2003

Granular gland transcriptomes in stimulated amphibian skin secretions.

Amphibian defensive skin secretions are complex, species-specific cocktails of biologically active molecules, including many uncharacterized peptides. The study of such secretions for novel peptide discovery is time-limited, as amphibians are in rapid global decline. While secretion proteome analysis is non-lethal, transcriptome analysis has until now required killing of specimens prior to skin dissection for cDNA library construction. Here we present the discovery that polyadenylated mRNAs encoding dermal granular gland peptides are present in defensive skin secretions, stabilized by endogenous nucleic acid-binding amphipathic peptides. Thus parallel secretory proteome and transcriptome analyses can be performed without killing the specimen in this model amphibian system--a finding that has important implications in conservation of biodiversity within this threatened vertebrate taxon and whose mechanistics may have broader implications in biomolecular science.

Alternative Splicing↗
PubMed2002

Evaluation of Affymetrix Gene Chip sensitivity in rat hippocampal tissue using SAGE analysis. Serial Analysis of Gene Expression.

DNA microarrays are a powerful tool for monitoring thousands of transcript levels simultaneously. However, the use of DNA microarrays in studying the central nervous system faces several challenges. These include the detection of low-abundance transcripts in highly complex tissue as well as estimating relatively low-magnitude changes in transcript levels in response to experimental manipulation. Many transcripts important to brain function have low expression levels or are expressed in relatively few cells, making them difficult to detect in the complex background of brain tissue. The aim of the present study is to evaluate the sensitivity of Gene Chip detection of transcripts in brain by using results from serial analysis of gene expression (SAGE) studies. The results of this comparison indicate that Affymetrix Gene Chips, like SAGE, only reliably detect medium- to high-abundance transcripts and that detection of low-abundance transcripts, many of which have great relevance to biological function in brain, is inconsistent. Specifically, we estimate that Gene Chips reliably detect no more than 30% of the hippocampal transcriptome when using a gross hippocampal dissection as the source tissue. This report provides the first broad evaluation of Affymetrix Gene Chip sensitivity relevant to studying the brain.

Animals↗
PubMed2006

Comparative profiling of the sense and antisense transcriptome of maize lines.

BACKGROUND: There are thousands of maize lines with distinctive normal as well as mutant phenotypes. To determine the validity of comparisons among mutants in different lines, we first address the question of how similar the transcriptomes are in three standard lines at four developmental stages. RESULTS: Four tissues (leaves, 1 mm anthers, 1.5 mm anthers, pollen) from one hybrid and one inbred maize line were hybridized with the W23 inbred on Agilent oligonucleotide microarrays with 21,000 elements. Tissue-specific gene expression patterns were documented, with leaves having the most tissue-specific transcripts. Haploid pollen expresses about half as many genes as the other samples. High overlap of gene expression was found between leaves and anthers. Anther and pollen transcript expression showed high conservation among the three lines while leaves had more divergence. Antisense transcripts represented about 6 to 14 percent of total transcriptome by tissue type but were similar across lines. Gene Ontology (GO) annotations were assigned and tabulated. Enrichment in GO terms related to cell-cycle functions was found for the identified antisense transcripts. Microarray results were validated via quantitative real-time PCR and by hybridization to a second oligonucleotide microarray platform. CONCLUSION: Despite high polymorphisms and structural differences among maize inbred lines, the transcriptomes of the three lines displayed remarkable similarities, especially in both reproductive samples (anther and pollen). We also identified potential stage markers for maize anther development. A large number of antisense transcripts were detected and implicated in important biological functions given the enrichment of particular GO classes.

Expressed Sequence Tags↗
PubMed2026

KCFtools: rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

MOTIVATION: In the era of multiple genome references, researchers often align sequencing reads against distinct assemblies or even multiple references simultaneously. This enables applications such as the detection of introgressed segments or highly variable genomic regions, which are especially prevalent in large-genome crop species such as lettuce or wheat. However, these applications come at the cost of increased computational burden, inconsistencies in mapping methods, and reduced reproducibility across studies. To address these limitations, we developed KCFtools, a Java-based toolkit that identifies the presence and absence of k-mers in nonoverlapping genomic or transcriptomic windows by comparing query and reference genomes. This alignment-free approach enables the efficient computation of an identity score for each window, thereby facilitating robust detection of introgressed or variable regions across genomes. RESULTS: We systematically evaluated the performance and accuracy of the k-mer-based method implemented in KCFtools, benchmarking it against conventional single nucleotide variation-based introgression detection pipelines. Our results demonstrate that KCFtools effectively captures introgressed segments and structurally diverse regions, even in species with fragmented or highly divergent reference genomes. In addition, we extended KCFtools to generate genotype matrices from k-mer variation tables. These matrices are compatible with genome-wide association studies software and allow the identification of loci associated with phenotypic traits. We showcase the utility of this approach by detecting known and novel associations for downy mildew resistance in lettuce, underscoring the pipeline's potential for high-resolution, reference-agnostic population genetic analysis. AVAILABILITY AND IMPLEMENTATION: https://github.com/sivasubramanics/kcftools.

Software↗
PubMed2004

Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system.

BACKGROUND: A major goal in the post-genomic era is to identify and characterise disease susceptibility genes and to apply this knowledge to disease prevention and treatment. Rodents and humans have remarkably similar genomes and share closely related biochemical, physiological and pathological pathways. In this work we utilised the latest information on the mouse transcriptome as revealed by the RIKEN FANTOM2 project to identify novel human disease-related candidate genes. We define a new term "patholog" to mean a homolog of a human disease-related gene encoding a product (transcript, anti-sense or protein) potentially relevant to disease. Rather than just focus on Mendelian inheritance, we applied the analysis to all potential pathologs regardless of their inheritance pattern. RESULTS: Bioinformatic analysis and human curation of 60,770 RIKEN full-length mouse cDNA clones produced 2,578 sequences that showed similarity (70-85% identity) to known human-disease genes. Using a newly developed biological information extraction and annotation tool (FACTS) in parallel with human expert analysis of 17,051 MEDLINE scientific abstracts we identified 182 novel potential pathologs. Of these, 36 were identified by computational tools only, 49 by human expert analysis only and 97 by both methods. These pathologs were related to neoplastic (53%), hereditary (24%), immunological (5%), cardio-vascular (4%), or other (14%), disorders. CONCLUSIONS: Large scale genome projects continue to produce a vast amount of data with potential application to the study of human disease. For this potential to be realised we need intelligent strategies for data categorisation and the ability to link sequence data with relevant literature. This paper demonstrates the power of combining human expert annotation with FACTS, a newly developed bioinformatics tool, to identify novel pathologs from within large-scale mouse transcript datasets.

Animals↗
PubMed2005

Endurance training modulates the muscular transcriptome response to acute exercise.

We hypothesized that in untrained individuals (n=6) a single bout of ergometer endurance exercise provokes a concerted response of muscle transcripts towards a slow-oxidative muscle phenotype over a 24-h period. We further hypothesized this response during recovery to be attenuated after six weeks of endurance training. We monitored the expression profile of 220 selected transcripts in muscle biopsies before as well as 1, 8, and 24 h after a 30-min near-maximal bout of exercise. The generalized gene response of untrained vastus lateralis muscle peaked after 8 h of recovery (P=0.001). It involved multiple transcripts of oxidative metabolism and glycolysis. Angiogenic and cell regulatory transcripts were transiently reduced after 1 h independent of the training state. In the trained state, the induction of most transcripts 8 h after exercise was less pronounced despite a moderately higher relative exercise intensity, partially because of increased steady-state mRNA concentration, and the level of metabolic and extracellular RNAs was reduced during recovery from exercise. Our data suggest that the general response of the transcriptome for regulatory and metabolic processes is different in the trained state. Thus, the response is specifically modified with repeated bouts of endurance exercise during which muscle adjustments are established.

Adult↗
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↗
PubMed2003

Molecular markers to identify patients at risk for recurrence after primary treatment for prostate cancer.

Accurate prognostication is a prerequisite for accurate therapeutics and management of prostate cancer because indolent tumors may require no intervention, whereas aggressive tumors lead to patient mortality. There is a critical need to define these subgroups of patients with prostate cancer differing in clinical outcome. Prognostic nomograms based on clinical data provide useful predictions of clinical states and outcomes, but they need further refinements to improve accuracy and universality. Genomic and proteomic analyses have provided many novel markers that may help define prognostic parameters based on the underlying biology of prostate cancer progression at the molecular level. These molecular markers are likely to augment traditional prognostic modalities by providing a set of molecularly defined and quantifiable variables. Encompassing the genome, transcriptome, and proteome of prostate cancer will likely provide "molecular signatures" that will bridge prognostication, prediction, and treatment in a single continuum.

Adenocarcinoma↗
PubMed2003

DNA microarray analysis of in vivo progression mechanism of heart failure.

Dahl salt-sensitive rats are genetically hypersensitive to sodium intake. When fed a high sodium diet, they develop systemic hypertension, followed by cardiac hypertrophy and finally heart failure within a few months. Therefore, Dahl rats represent a good model with which to study how heart failure is developed in vivo. By using DNA microarray, we here monitored the transcriptome of >8000 genes in the left ventricular muscles of Dahl rats during the course of cardiovascular damage. Expression of the atrial natriuretic peptide gene was, for instance, induced in myocytes by sodium overload and further enhanced even at the heart failure stage. Interestingly, expression of the gene for the D-binding protein, an apoptotic-related transcriptional factor, became decreased upon the transition to heart failure. To our best knowledge, this is the first report to describe the transcriptome of cardiac myocytes during the disease progression of heart failure.

Animals↗
PubMed2006

Isolation of germline cells from Drosophila embryos by flow cytometry.

Primordial germ cells (PGC) are the earliest identifiable germ cells in the embryo. To understand the molecular basis of germline development, isolation of pure PGC is required. We report here the use of fluorescence-activated cell sorting (FACS) to isolate pure populations of Drosophila pole cells, which are the presumptive primordial germ cells in flies. In order to fluorescently mark pole cells, we used an EGFP-vasa transgenic line that expresses green fluorescent protein (GFP) specifically and continuously in the germ line throughout the life cycle. The purity of FACS-sorted pole cells from embryos was confirmed by microscopic inspection and quantitative polymerase chain reaction. Moreover, by optimizing the sample preparation and the sorting protocol, embryonic gonads could also be isolated. This technique opens the way for genome-wide transcriptome analysis of germline cells. In a pilot experiment, we generated a cDNA library from purified embryonic gonad and identified a novel germline-specific gene, RpL22-like.

Animals↗
PubMed2025

IGF1R deficiency mitigates acute lung injury by promoting anti-inflammatory transcriptional profiles.

BACKGROUND: Acute lung injury (ALI), acute respiratory distress syndrome (ARDS) and COVID-19 are characterized by hyperinflammation, commonly referred to as "cytokine storm". The insulin-like growth factor (IGF) pathway, particularly the type 1 receptor (IGF1R), plays a critical role in lung homeostasis and has been implicated in the pathogenesis of pulmonary inflammatory diseases. In mice, widespread Igf1r deficiency attenuates lung inflammation and alveolar damage in bleomycin (BLM)-induced ALI. METHODS: We analyzed single-cell RNA sequencing datasets from lung tissue of COVID-19 cases and control donors as well as mouse lungs to determine Igf1r and IGF family expression across pulmonary cell types. Furthermore, we conducted bulk RNA sequencing on lungs from Igf1r-deficient mice three days after BLM or saline instillation, followed by differential expression and functional enrichment analyses. Findings were further tested through protein detection, assessment of DNA damage and methylation in lung tissues, and functional assays using Igf1r-deficient primary mouse embryonic fibroblasts (MEFs). RESULTS: IGF1R was broadly expressed across multiple cell types in both human and mouse lungs under normal and pathological conditions. Other IGF family members showed cell-type-specific expression, which was modulated by lung injury. Transcriptomic profiling revealed differentially expressed genes between BLM-challenged and control mouse lungs, detecting biological processes and signaling pathways involved in ALI pathobiology. Igf1r deficiency in BLM-challenged mice reversed a large fraction of the transcriptional changes triggered by BLM, including "cytokine storm"-related gene expression. Functional enrichment analysis additionally revealed significant modulation of pathways related to DNA damage, metabolic reprogramming, mitochondrial homeostasis, and epigenetic regulation. In vitro, Igf1r-deficient MEFs exhibited decreased mitochondrial respiration and glycolysis, protection against BLM-induced nuclear damage and mitochondrial accumulation, and decreased histone H3 acetylation. Moreover, Igf1r-deficient mouse lungs displayed increased global DNA methylation following BLM challenge. CONCLUSIONS: IGF1R is a key modulator of the inflammatory and molecular response to ALI pathogenesis. IGF1R deficiency dampens the "cytokine storm", modifies transcriptional and epigenetic profiles and promotes protective cellular responses. These findings highlight IGF1R signaling as a potential therapeutic target in ARDS and related lung injuries.

Animals↗
PubMed2003

Dose-dependent transcriptome changes by metal ores on a human acute lymphoblastic leukemia cell line.

The increased morbidity of childhood leukemia in Fallon, Nevada and Sierra Vista, Arizona has prompted great health concern. The main characteristic that these two towns share is the environmental pollution attributed to metal ore from abandoned mining operations. Consequently, we have investigated the transcriptome effects of metal ores from these endemic areas using a human T-cell acute lymphoblastic leukemia cell line (T-ALL). Metal ore from Fallon significantly increased cell growth after 24, 48 and 72 h of incubation at 1.5 microg/mL concentration, as measured by trypan-blue. Sierra Vista ore significantly increased cell growth with 0.15 and 1.5 microg/mL following 72 h of incubation. From human cDNA microarray, results indicate that in total, eight genes, mostly metallothionein (MT) genes, were up-regulated and 10 genes were down-regulated following treatment of the T-ALL cells with 0.15 and 1.5 microg/mL of metal ores at 72 h, in comparison with untreated cells. Twenty-eight metals of both ores were quantified and their presence may be associated with the cell growth rate and dose-dependent activation of transcriptomes in immature T-cells.

Arizona↗
PubMed2003

Composition and dynamics of the Caenorhabditis elegans early embryonic transcriptome.

Temporal profiles of transcript abundance during embryonic development were obtained by whole-genome expression analysis from precisely staged C. elegans embryos. The result is a highly resolved time course that commences with the zygote and extends into mid-gastrulation, spanning the transition from maternal to embryonic control of development and including the presumptive specification of most major cell fates. Transcripts for nearly half (8890) of the predicted open reading frames are detected and expression levels for the majority of them (>70%) change over time. The transcriptome is stable up to the four-cell stage where it begins rapidly changing until the rate of change plateaus before gastrulation. At gastrulation temporal patterns of maternal degradation and embryonic expression intersect indicating a mid-blastula transition from maternal to embryonic control of development. In addition, we find that embryonic genes tend to be expressed transiently on a time scale consistent with developmental decisions being made with each cell cycle. Furthermore, overall rates of synthesis and degradation are matched such that the transcriptome maintains a steady-state frequency distribution. Finally, a versatile analytical platform based on cluster analysis and developmental classification of genes is provided.

Animals↗
PubMed2025

PATTY corrects open-chromatin bias for improved bulk and single-cell CUT&Tag profiling.

Precise profiling of epigenomes is essential for better understanding chromatin biology and gene regulation. Cleavage Under Targets & Tagmentation (CUT&Tag) is an efficient epigenomic profiling technique that can be performed on a low number of cells and at the single-cell level. With its growing adoption, CUT&Tag datasets spanning diverse biological systems are rapidly accumulating in the field. CUT&Tag assays use the hyperactive transposase Tn5 for DNA tagmentation. Tn5's preference toward accessible chromatin alters CUT&Tag sequence read distributions in the genome and introduces open-chromatin bias that can confound downstream analysis, an issue more substantial in sparse single-cell data. We show that open-chromatin bias extensively exists in published CUT&Tag datasets, including those generated with recently optimized high-salt protocols. To address this challenge, we present PATTY (Propensity Analyzer for Tn5 Transposase Yielded bias), a comprehensive computational method that corrects open-chromatin bias in CUT&Tag data by leveraging accompanying ATAC-seq. By integrating transcriptomic and epigenomic data using machine learning and integrative modeling, we demonstrate that PATTY enables accurate and robust detection of occupancy sites for both active and repressive histone modifications, including H3K27ac, H3K27me3, and H3K9me3, with experimental validation. We further develop a single-cell CUT&Tag analysis framework built on PATTY and show improved cell clustering when using bias-corrected single-cell CUT&Tag data compared to using uncorrected data. Beyond CUT&Tag, PATTY sets a foundation for further development of bias correction methods for improving data analysis for all Tn5-based high-throughput assays.

Journal Article↗