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PubMed2025

Large-scale analysis of MYB genes in Cucurbitaceae identifies a novel gene regulating plant height.

The MYB transcription factor (TF) family, which is involved in plant growth and development, is large and diverse. Previous studies on MYB family in Cucurbitaceae were mostly based on a single genome or focused on the R2R3 subfamily. Here, we analyzed 91 genomes of 11 Cucurbitaceae species and identified a total of 15 858 MYB genes. According to phylogenetic relationships, these genes were divided into 27 subgroups. The identified MYB genes were further classified into 121 MYB orthologous gene groups (OGGs), including 25 core, 57 softcore, 19 shell and 20 line-specific/cloud groups. Whole-genome duplication was the most common mechanism of MYB genes expansion. In core group, the higher proportions of MYB genes were found to be in the coexpression network constructed by the RNA-seq data. Through the comprehensive analysis including phylogeny and gene expression profile of cucumber MYB genes, as well as genetic variations in 103 cucumber germplasms, we identified a MYB gene CsRAX5, which may be related to cucumber plant height. We used gene editing technology to knockout and overexpress CsRAX5. In the knockout lines, Csrax5, the height was significantly increased compared with wild type (WT), whereas after overexpression the height of CsRAX5-OE plants was significantly decreased compared with WT. These results indicated that MYB gene CsRAX5 negatively regulated cucumber plant height. The large-scale analysis of MYB genes in Cucurbitaceae in this study provides insights for further investigating the evolution and function of MYB genes in Cucurbitaceae crops.

Journal Article↗
PubMed2006

Decoding the fine-scale structure of a breast cancer genome and transcriptome.

A comprehensive understanding of cancer is predicated upon knowledge of the structure of malignant genomes underlying its many variant forms and the molecular mechanisms giving rise to them. It is well established that solid tumor genomes accumulate a large number of genome rearrangements during tumorigenesis. End Sequence Profiling (ESP) maps and clones genome breakpoints associated with all types of genome rearrangements elucidating the structural organization of tumor genomes. Here we extend the ESP methodology in several directions using the breast cancer cell line MCF-7. First, targeted ESP is applied to multiple amplified loci, revealing a complex process of rearrangement and co-amplification in these regions reminiscent of breakage/fusion/bridge cycles. Second, genome breakpoints identified by ESP are confirmed using a combination of DNA sequencing and PCR. Third, in vitro functional studies assign biological function to a rearranged tumor BAC clone, demonstrating that it encodes anti-apoptotic activity. Finally, ESP is extended to the transcriptome identifying four novel fusion transcripts and providing evidence that expression of fusion genes may be common in tumors. These results demonstrate the distinct advantages of ESP including: (1) the ability to detect all types of rearrangements and copy number changes; (2) straightforward integration of ESP data with the annotated genome sequence; (3) immortalization of the genome; (4) ability to generate tumor-specific reagents for in vitro and in vivo functional studies. Given these properties, ESP could play an important role in a tumor genome project.

Breast Neoplasms↗
PubMed2026

Molecular and Immune Landscape of Recurrent and/or Distant Metastatic Squamous Cell Carcinoma of the Head and Neck: An EORTC/IMMUCAN Project.

PURPOSE: Recurrent and/or metastatic (R/M) squamous cell carcinoma of the head and neck (SCCHN) is a heterogeneous clinical entity with a poor prognosis. The molecular and immune landscape of R/M SCCHN is underexplored. To offer a comprehensive view of the tumor microenvironment and molecular profile of R/M SCCHN, we performed an in-depth molecular and immune characterization, evaluating the impact of human papillomavirus (HPV) status, tobacco and alcohol history, primary tumor site, relapse pattern, and treatment history at the genomic, transcriptomic, and immune levels. EXPERIMENTAL DESIGN: We analyzed 253 R/M SCCHN fresh tumor biopsies from the IMMUcan project using RNA sequencing (RNA-seq), whole-exome sequencing, and multiplex immunofluorescence (mIF). RESULTS: The primary clinical factor affecting the immune microenvironment was the number of treatment lines, with significant declines in T cells and B cells observed via mIF and RNA-seq as the number of R/M treatment lines progressed. IL6, IL13, IL15, and NRF2 pathways were enriched in HPV-negative R/M SCCHN compared with HPV-positive tumors, whereas no immune differences were detected between these two clinical groups. Specific genomic alterations were observed in laryngeal cancer (DDR2, FOXP1, KLF5, and ROBO2), whereas nonsmokers/nondrinkers exhibited alterations in SPEN, PBRM1, and CYLD. 11q13.3 amplification was linked to HPV-negative metastatic tumors and hypopharyngeal cancer. HPV-negative SCCHN with locoregional recurrence showed elevated EGFR and CXCL12 pathway activity. Partial epithelial-mesenchymal transition transcriptomic signatures correlated with poor survival, whereas lymphocyte infiltration, especially in the context of tertiary lymphoid structures, was associated with improved survival. CONCLUSIONS: Our study highlights key molecular and immune differences across R/M SCCHN subgroups, identifies potential biomarkers, and suggests biological rationales for tailored therapeutic strategies.

Humans↗
PubMed2025

Integrative omics of the genetic basis for wheat WUE and drought resilience reveal the function of TaMYB7-A1.

Improving wheat drought resilience and water use efficiency (WUE) is critical for sustaining productivity under increasing water scarcity. Here, we integrate genome-wide association study (GWAS), expression quantitative trait locus (eQTL) mapping, population-transcriptome analysis, and summary-data-based mendelian randomization (SMR), followed by functional validation using indexed EMS mutants and transgenic lines, to systematically identify key WUE regulators. GWAS across water conditions in 228 accessions identifies 73 quantitative trait loci (QTLs) for WUE-traits. Transcriptome profiling of 110 diverse accessions reveals 28 drought-responsive modules. eQTL mapping uncovers 146,966 regulatory variants, including condition-specific hotspots associated with key drought-related pathways. Integrative analysis underscores 85 high-confidence candidate genes, notably TaMYB7-A1. Overexpression of TaMYB7-A1 enhances photosynthesis, WUE, root development, and grain yield under drought condition by activating TaPIP2;2-B1 (water transport), TaRD20-D1 (stomatal regulation), and TaABCB4-B1 (root growth), reflecting reduced water loss and improved physiological resilience. Our study presents a comprehensive regulatory map and robust targets for wheat drought adaptation and resilient cultivar breeding.

Triticum↗
PubMed2005

Design and validation of a partial-genome microarray for transcriptional profiling of the Bradyrhizobium japonicum symbiotic gene region.

The design and use of a pilot microarray for transcriptome analysis of the symbiotic, nitrogen-fixing Bradyrhizobium japonicum is reported here. The custom-synthesized chip (Affymetrix GeneChip) features 738 genes, more than half of which belong to a 400-kb chromosomal segment strongly associated with symbiosis-related functions. RNA was isolated following an optimized protocol from wild-type cells grown aerobically and microaerobically, and from cells of aerobically grown regR mutant and microaerobically grown nifA mutant. Comparative microarray analyses thus revealed genes that are transcribed in either a RegR- or a NifA-dependent manner plus genes whose expression depends on the cellular oxygen status. Several genes were newly identified as members of the RegR and NifA regulons, beyond genes, which had been known from previous work. A comprehensive transcription analysis was performed with one of the new RegR-controlled genes (id880). Expression levels determined by microarray analysis of selected NifA- and RegR-controlled genes corresponded well with quantitative real-time PCR data, demonstrating the high complementarity of microarray analysis to classical methods of gene expression analysis in B. japonicum. Nevertheless, several previously established members of the NifA regulon were not detected as transcribed genes by microarray analysis, confirming the potential pitfalls of this approach also observed by other authors. By and large, this pilot study has paved the way towards the genome-wide transcriptome analysis of the 9.1-Mb B. japonicum genome.

Bacterial Proteins↗
PubMed2003

Tissue-specific gene expression of head and neck squamous cell carcinoma in vivo by complementary DNA microarray analysis.

OBJECTIVES: To identify distinct gene expression profiles of human head and neck squamous cell carcinomas (HNSCCAs) using complementary DNA (cDNA) microarray analysis and to create a preliminary, comprehensive database of HNSCCA gene expression. PATIENTS AND METHODS: Nine patients with histologically confirmed HNSCCAs, staged according to the American Joint Committee on Cancer, were enrolled. The HNSCCA tumor tissue and normal mucosal tissue were harvested at the time of surgery. A cDNA library was constructed from the paired fresh-frozen human surgical specimens of HNSCCAs and nonmalignant epithelial tissues. Biotinylated RNA was transcribed from the cDNA library and hybridized to high-density microarrays containing approximately 12 000 human genes. Altered gene expression of HNSCCAs was identified by comparison to corresponding normal mucosal tissues after a bayesian statistical analysis of variance. Results were analyzed using the gene database of the National Institutes of Health. Hierarchical clustering of the genomic data sets was determined by similarity metrics based on Pearson correlation. RESULTS: Hierarchical clustering analysis revealed that the gene expression profiles obtained from the nonselected panel of 12 000 genes could distinguish the tumors from nonmalignant tissues. Gene expression changes were reproducibly observed in 227 genes representing previously identified chemokines, tumor suppressors, differentiation markers, matrix molecules, membrane receptors, and transcription factors that correlated with neoplasia, including 46 previously uncharacterized genes. Moreover, significant expression of the collagen type XI alpha1 gene and a novel gene was reproducibly observed in all 9 tumors, whereas these genes were virtually undetectable in their corresponding, adjacent nonmalignant tissues. CONCLUSIONS: Complementary DNA microarray analysis of human HNSCCAs has produced a preliminary, comprehensive database of tumor-specific gene expression profiles and provided important insights into modeling gene expression changes implicated in carcinogenesis. A large-scale analysis of gene expression carries the future potential of identifying sensitive molecular markers for early tumor detection, prognosis, and novel targets for interceptive therapeutics.

Bayes Theorem↗
PubMed2004

Proteomics of the Drosophila immune response.

Completion of the Drosophila genome has enabled the use of proteomic approaches for studying complex processes such as the innate immune defense against microorganisms. Microbial infection leads to the activation of responses involving changes at translational and post-translational levels. Proteomics is a tool for assessing such changes in protein expression, localization and post-translational modification. Recently, several studies have reported whole-genome analyses of the Drosophila immune response, both at the transcriptome and proteome levels, leading to a more comprehensive view of fly immunity. In this review, we describe and compare the proteomic techniques used in these analyses and discuss the results obtained by differential protein profiling of the Drosophila immune response.

Animals↗
PubMed2026

Anaplastic lymphoma kinase immunohistochemical positivity in high-grade pulmonary neuroendocrine carcinoma: an actionable signal or merely a shadow?

AIMS: Anaplastic lymphoma kinase (ALK) rearrangements are actionable drivers in non-small cell lung carcinoma (NSCLC), but the biological significance of ALK-immunohistochemistry (IHC) positivity in high-grade pulmonary neuroendocrine carcinoma (NEC) remains unclear. This study evaluated the diagnostic and therapeutic implications of discordant ALK IHC and genomic findings and the role of multimodal molecular testing in resolving them. METHODS: We retrospectively analysed eight South Asian patients (Indian and Nepali) with de novo high-grade pulmonary NEC and diffuse ALK immunoreactivity treated at a tertiary cancer centre in India. Comprehensive molecular profiling using DNA- and RNA-based next-generation sequencing (NGS) and ALK fluorescence in situ hybridisation (where tissue was adequate) was performed. Clinical outcomes and responses to ALK-targeted tyrosine kinase inhibitors (TKIs) were assessed. RESULTS: ALK IHC positivity was observed in 8 of 100 selectively tested cases among 319 high-grade pulmonary NECs diagnosed between 2019 and 2025. The cohort included seven SCLCs (one combined adenocarcinoma-SCLC) and one large-cell neuroendocrine carcinoma (LCNEC). Median age was 51 years; 75% were female and 87.5% never-smokers. Among five comprehensively profiled cases, true ALK rearrangements were confirmed in two (one LCNEC and one SCLC), both detectable only by RNA sequencing. Durable benefit from ALK-TKI therapy was seen only in the molecularly confirmed LCNEC case (>16 months), whereas ALK IHC-positive but NGS-negative cases progressed rapidly. CONCLUSIONS: True ALK rearrangements in high-grade pulmonary NEC are rare but highly actionable. ALK IHC alone is an unreliable predictor of therapeutic benefit. RNA-based sequencing is essential for fusion detection. Comprehensive molecular confirmation, with RNA sequencing as the preferred modality, should precede any initiation of ALK-targeted therapy in high-grade pulmonary NEC.

IMMUNOHISTOCHEMISTRY↗
PubMed2004

Genomics-based hypothesis generation: a novel approach to unravelling drug resistance in brain tumours?

No currently available chemotherapy seems likely to substantially improve outcome in most patients with brain tumours. Several resistance-associated cellular factors, which were discovered in other cancer models, have also been identified in brain tumours. Although these mechanisms play some part in resistance in brain tumours, they are not sufficient to explain the poor clinical response to chemotherapy. There could be other brain-tumour-specific genetic profiles that are associated with tumour sensitivity to chemotherapy. There is increasing awareness that drug resistance in brain tumours is not a result of changes in single molecular pathways but is likely to involve a complex network of regulatory dynamics. Further insights into chemoresistance in brain tumours could come with comprehensive characterisation of their gene expression, as well as the genetic changes occurring in response to chemotherapy. Recent progress in high-throughput bioanalytical methods for genome-wide studies has made possible a novel research model of initial hypothesis generation followed by functional testing of the generated hypothesis.

Brain Neoplasms↗
PubMed2003

Beyond expression profiling: next generation uses of high density oligonucleotide arrays.

In the past decade, microarray technology has become a major tool for high-throughput comprehensive analysis of gene expression, genotyping and resequencing applications. Currently, the most widely employed application of high-density oligonucleotide arrays (HDOAs) involves monitoring changes in gene expression. This application has been carried out in a variety of organisms ranging from Escherichia coli to humans. The recent near completion of the human and mouse genome sequences, however, as well as the genomes of other model experimental species, has allowed for novel applications of HDOAs, such as: the discovery of novel transcripts, mapping functionally important genomic regions and identifying functional domains in RNA molecules. Integrating all this information will provide novel global views of the locations of RNA transcription, DNA replication and the protein nucleic acid interactions that regulate these processes.

DNA Replication↗
PubMed2001

Molecular classification of psoriasis disease-associated genes through pharmacogenomic expression profiling.

Psoriasis is recognized as the most common T cell-mediated inflammatory disease in humans. Genetic linkage to as many as six distinct disease loci has been established but the molecular etiology and genetics remain unknown. To begin to identify psoriasis disease-related genes and construct in vivo pathways of the inflammatory process, a genome-wide expression screen of multiple psoriasis patients was undertaken. A comprehensive list of 159 genes that define psoriasis in molecular terms was generated; numerous genes in this set mapped to six different disease-associated loci. To further interpret the functional role of this gene set in the disease process, a longitudinal pharmacogenomic study was initiated to understand how expression levels of these transcripts are altered following patient treatment with therapeutic agents that antagonize calcineurin or NF-KB pathways. Transcript levels for a subset of these 159 genes changed significantly in those patients who responded to therapy and many of the changes preceded clinical improvement. The disease-related gene map provides new insights into the pathogenesis of psoriasis, wound healing and cellular-immune reactions occurring in human skin as well as other T cell-mediated autoimmune diseases. In addition, it provides a set of candidate genes that may serve as novel therapeutic intervention points as well as surrogate and predictive markers of treatment outcome.

Adult↗
PubMedDate not supplied

Molecular genetic tumor markers in non-small cell lung cancer.

Not only serum tumor markers, such as carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCC) and carbohydrate antigen (CA) 125, but also serum growth factors have been examined to evaluate tumor stages and to predict the recurrence and metastasis in patients with non-small cell lung cancer (NSCLC) (1-5). In recent years, the analysis of the genome and proteome has advanced remarkably. An array of molecular genetic tumor markers (MGTMs) have been identified based on the biological characterization of tumors, such as tumor development, growth, invasion and metastasis. Molecular genetic tumor marker research has also entered a new era, since comprehensive gene profile analysis using cDNA microarrays and comprehensive protein expression analysis using proteomics technology have been developed. On the other hand, the frequency of lung cancer patients with which various tumor markers are associated is increasing in Japan (6-8). This paper reviews MGTMs characteristic of lung cancer and clarifies the clinical usefulness and applications of MGTM for cancer treatment.

Biomarkers, Tumor↗
PubMed2005

Extraction of transcription regulatory signals from genome-wide DNA-protein interaction data.

Deciphering gene regulatory network architecture amounts to the identification of the regulators, conditions in which they act, genes they regulate, cis-acting motifs they bind, expression profiles they dictate and more complex relationships between alternative regulatory partnerships and alternative regulatory motifs that give rise to sub-modalities of expression profiles. The 'location data' in yeast is a comprehensive resource that provides transcription factor-DNA interaction information in vivo. Here, we provide two contributions: first, we developed means to assess the extent of noise in the location data, and consequently for extracting signals from it. Second, we couple signal extraction with better characterization of the genetic network architecture. We apply two methods for the detection of combinatorial associations between transcription factors (TFs), the integration of which provides a global map of combinatorial regulatory interactions. We discover the capacity of regulatory motifs and TF partnerships to dictate fine-tuned expression patterns of subsets of genes, which are clearly distinct from those displayed by most genes assigned to the same TF. Our findings provide carefully prioritized, high-quality assignments between regulators and regulated genes and as such should prove useful for experimental and computational biologists alike.

Binding Sites↗
PubMed2004

Microarray-based gene expression profiling of hematologic malignancies: basic concepts and clinical applications.

Each cell in our body contains a set of tens of thousands of genes, out of which a set of several thousands determines the cell's characteristics. The deciphering of the sequence of the human genome combined with the technical feasibility to simultaneously measure the gene expression levels of thousands of genes had revolutionized our understanding of cellular processes. This ability has great significance in our comprehension of the mechanisms that bring about diseases in general and hematologic malignancies in particular. Several new high-throughput technologies, commonly referred as microarrays, enable us to perform such measurements and concurrently, bioinformatic and statistical tools were developed to analyze the data obtained by using microarrays. In this review we present examples of analyses of hematologic malignancies using microarrays which contribute to refinement of diagnosis, identification of novel disease subtypes and of relationships between diseases that were previously considered to be unrelated, prediction of response to treatment and identification of genes and pathways linked to pathogenesis, thus defining targets to rational therapy.

Databases as Topic↗
PubMed2006

Clinical applications of genomics in head and neck cancer.

Advances in gene expression analyses have allowed global assessment of expressed genes in clinical samples. Gene expression profiles derived from clinical specimens have been used to distinguish differences in tumors that are not obvoius by clinical, radiographic, or histologic characteristics. Despite its common histology and presentation, head and neck squamous cell carcinoma (HNSCC) is associated with widely varying clinical behavior and response to therapy. Currently, clinicians have a dearth of tools to predict response to therapy or to identify patients at high risk of poor outcome. Recently comprehensive analyses of gene expression patterns of individual tumors have shown promise to improve discovery of biomarkers for 1) progression of premalignant lesions, 2) disease presence or absence, 3) prediction of clinical outcome, and 4) identification of targets for therapy. In this review, we will discuss advances, limitations and future directions of genomics as it applies to HNSCC.

Genomics↗
PubMed2026

Systematic identification pepper CaE2F transcription factor reveals the role of CaDPb in drought stress response.

The EARLY 2 FACTOR (E2F) transcription factor (TF) family plays a pivotal role in regulating plant development and adaptations to environmental stresses. However, the physiological function of E2Fs in pepper (Capsicum annuum L.) are not well elucidated. In this work, we conduct a comprehensive genome-wide annotation of the E2F family within the Zunla-1 pepper genome and further explore the biological roles of CaDPb in response to drought stress. Through systematic bioinformatics analysis, we identify a total of nine CaE2F genes within the Zunla-1 genome, categorizing them into three distinct subgroups. Additionally, we discover multiple cis-regulatory elements in the CaE2F promoter regions associated with responses to plant hormones and drought stress. Public RNA-seq datasets reveal distinct expression profiles of CaE2F genes across various pepper tissues and their responses to environmental stimuli and plant hormones. Subsequently, the CaDPb gene is further functionally verified in drought response. Our findings indicate that TRV2:CaDPb silenced pepper plants are more sensitivity to drought. Furthermore, we show that CaDPb participates in the regulation of reactive oxygen species (ROS) production, the expression of drought-responsive genes, and the modulation of stomatal aperture. Taken together, our findings provide a comprehensive characterization of E2F genes in pepper and offer insights into the biological function of CaDPb in pepper drought stress response.

Capsicum↗
PubMed2005

Proteomics strategies for protein identification.

The information from genome sequencing provides new approaches for systems-wide understanding of protein networks and cellular function. DNA microarray technologies have advanced to the point where nearly complete monitoring of gene expression is feasible in several organisms. An equally important goal is to comprehensive survey cellular proteomes and profile protein changes under different cellular states. This presents a complex analytical problem, due to the chemical variability between proteins and peptides. Here, we discuss strategies to improve accuracy and sensitivity of peptide identification, distinguish represented protein isoforms, and quantify relative changes in protein abundance.

Computational Biology↗
PubMed2004

Molecular fingerprinting of dairy microbial ecosystems by use of temporal temperature and denaturing gradient gel electrophoresis.

Numerous microorganisms, including bacteria, yeasts, and molds, constitute the complex ecosystem present in milk and fermented dairy products. Our aim was to describe the bacterial ecosystem of various cheeses that differ by production technology and therefore by their bacterial content. For this purpose, we developed a rapid, semisystematic approach based on genetic profiling by temporal temperature gradient electrophoresis (TTGE) for bacteria with low-G+C-content genomes and denaturing gradient gel electrophoresis (DGGE) for those with medium- and high-G+C-content genomes. Bacteria in the unknown ecosystems were assigned an identity by comparison with a comprehensive bacterial reference database of approximately 150 species that included useful dairy microorganisms (lactic acid bacteria), spoilage bacteria (e.g., Pseudomonas and Enterobacteriaceae), and pathogenic bacteria (e.g., Listeria monocytogenes and Staphylococcus aureus). Our analyses provide a high resolution of bacteria comprising the ecosystems of different commercial cheeses and identify species that could not be discerned by conventional methods; at least two species, belonging to the Halomonas and Pseudoalteromonas genera, are identified for the first time in a dairy ecosystem. Our analyses also reveal a surprising difference in ecosystems of the cheese surface versus those of the interior; the aerobic surface bacteria are generally G+C rich and represent diverse species, while the cheese interior comprises fewer species that are generally low in G+C content. TTGE and DGGE have proven here to be powerful methods to rapidly identify a broad range of bacterial species within dairy products.

Animals↗