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Results for “comparative transcriptomics”

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PubMed2006

Comparison of indirect and direct approaches using ion-trap and Fourier transform ion cyclotron resonance mass spectrometry for exploring viperid venom proteomes.

In a sense, the field of snake venom proteomics has been under investigation since the very earliest biochemical studies where it was soon recognized that venoms are comprised of complex mixtures of bioactive molecules, most of which are proteins. Only with the re-emergence of 2D polyacrylamide gel electrophoresis (2D PAGE) and the recent developments in mass spectrometry for the identification/characterization of proteins coupled with venom gland transcriptomes has the field of snake venom proteomics began to flourish and provide exciting insights into the protein composition of venoms and subsequently their pathological activities. In this manuscript we will briefly discuss the state of snake venom proteomics followed by the presentation of several straightforward experiments designed to explore approaches to investigating venom proteomics. The first set of experiments used 1D gel electrophoresis (1D PAGE) of Crotalus atrox venom followed by slice-by-slice analysis of the proteins using liquid chromatography/mass spectrometry/mass spectrometry (LC/MS/MS). In the second set of experiments, C. atrox and Bothrops jararaca venoms were subjected to in-solution digestion followed by Fourier transform ion cyclotron resonance (FTICR) LC/MS/MS. The peptide ion-maps of these venoms were compared along with the proteins identified. In addition, the results were compared to the results observed from the 1D PAGE approach. From these studies it is clear that sample de-complexation/fractionation before mass spectrometry is still the best approach for maximum proteome coverage. Furthermore, comparison of venom proteomes based on tryptic peptide identities between the proteomes is not particularly effective since there does not appear to be a sufficient number of such identical peptides, derived from related proteins, present in venoms. Finally, as has previously been recognized without either better databases of venom protein sequences or facile and rapid de novo sequencing technologies for mass spectrometry, snake venom proteome investigation will remain a laborious task.

Animals↗

PubMed2002

Analysis of bovine mammary gland EST and functional annotation of the Bos taurus gene index.

Functional genomic studies of the mammary gland require an appropriate collection of cDNA sequences to assess gene expression patterns from the different developmental and operational states of underlying cell types. To better capture the range of gene expression, a normalized cDNA library was constructed from pooled bovine mammary tissues, and 23,202 expressed sequence tags (EST) were produced and deposited into GenBank. Assembly of these EST with sequences in the Bos taurus Gene Index (BtGI) helped to form 5751 of the current 23,883 tentative consensus (TC) sequences. The majority (87%) of these 5751 assemblies contained only one to three mammary-derived EST. In contrast, 18% of the mammary EST assembled with TC sequences corresponding to 12 genes. These results suggest library normalization was only partially effective, because the reduction in EST for genes abundantly transcribed during lactation could be attributed to pooling. For better assessment of novel content in the mammary library and to add to existing annotation of all bovine sequence elements, gene ontology assignments, and comparative sequence analyses against human genome sequence, human and rodent gene indices, and an index of orthologous alignments of genes across eukaryotes (TOGA) were performed, and results were added to existing BtGI annotation. Over 35,000 of the bovine elements significantly matched human genome sequence, and the positions of some alignments (3%) were unique relative to those using human expressed sequences. Because 3445 TC sequences had no significant match with any data set, mammary-derived cDNA clones representing 23 of these elements were analyzed further for expression and novelty. Only one clone met criteria suggesting the corresponding gene was a divergent ortholog or expressed sequence unique to cattle. These results demonstrate that bovine sequence expression data serve as a resource for characterizing mammalian transcriptomes and identifying those genes potentially unique to ruminants.

Animals↗

PubMed2005

Gene family clustering identifies functionally associated subsets of human in vivo blood and tonsillar dendritic cells.

Human dendritic cells (DCs) are a distinct but heterogeneous lineage of APCs operating as the link between innate and adaptive immune responses, with the function to either maintain tolerance or trigger immunity. The DC lineage consists of several subpopulations with unique phenotypes; however, their functional characteristics and transcriptional similarities remain largely unknown. To further characterize the phenotypes and transcriptomes of the subsets, we purified myeloid CD16(+), blood DC Ag 1(+) (BDCA1(+)), and BDCA3(+) DC populations, as well as plasmacytoid CD123(+) DCs, from tonsillar tissue and peripheral blood. Transcriptional profiling and hierarchical clustering visualized that BDCA1(+) DCs clustered with BDCA3(+) DCs, whereas CD16(+) DCs and CD123(+) DCs clustered as distinct populations in blood. Differential expression levels of chemokines, ILs, and pattern recognition receptors were demonstrated, which emphasize innate DC subset specialization. Even though highly BDCA1(+) and BDCA3(+) DC-specific gene expression was identified in blood, the BDCA1(+) DCs and BDCA3(+) DCs from tonsils displayed similar transcriptional activity, most likely due to the pathogenic or inflammatory maturational signals present in tonsillar tissues. Of note, plasmacytoid DCs displayed less plasticity in their transcriptional activity compared with myeloid DCs. The data demonstrated a functionally distinct association of each of the seven subsets based on their signatures, involving regulatory genes in adaptive and innate immunity.

Antigens, CD↗

PubMed2000

The mouse brain transcriptome by SAGE: differences in gene expression between P30 brains of the partial trisomy 16 mouse model of Down syndrome (Ts65Dn) and normals.

Trisomy 21, or Down syndrome (DS), is the most common genetic cause of mental retardation. Changes in the neuropathology, neurochemistry, neurophysiology, and neuropharmacology of DS patients' brains indicate that there is probably abnormal development and maintenance of central nervous system structure and function. The segmental trisomy mouse (Ts65Dn) is a model of DS that shows analogous neurobehavioral defects. We have studied the global gene expression profiles of normal and Ts65Dn male and normal female mice brains (P30) using the serial analysis of gene expression (SAGE) technique. From the combined sample we collected a total of 152,791 RNA tags and observed 45,856 unique tags in the mouse brain transcriptome. There are 14 ribosomal protein genes (nine under expressed) among the 330 statistically significant differences between normal male and Ts65Dn male brains, which possibly implies abnormal ribosomal biogenesis in the development and maintenance of DS phenotypes. This study contributes to the establishment of a mouse brain transcriptome and provides the first overall analysis of the differences in gene expression in aneuploid versus normal mammalian brain cells.

Animals↗

PubMed2006

Deciphering B-ZIP transcription factor interactions in vitro and in vivo.

Over the last 15 years, numerous studies have addressed the structural rules that regulate dimerization stability and dimerization specificity of the leucine zipper, a dimeric parallel coiled-coil domain that can either homodimerize or heterodimerize. Initially, these studies were performed with a limited set of B-ZIP proteins, sequence-specific DNA binding proteins that dimerize using the leucine zipper domain to bind DNA. A global analysis of B-ZIP leucine zipper dimerization properties can be rationalized using a limited number of structural rules [J.R. Newman, A.E. Keating, Comprehensive identification of human bZIP interactions with coiled-coil arrays, Science 300 (2003) 2097-2101]. Today, however, access to the genomic sequences of many different organisms has made possible the annotation of all B-ZIP proteins from several species and has generated a bank of data that can be used to refine, and potentially expand, these rules. Already, a comparative analysis of the B-ZIP proteins from Arabidopsis thaliana and Homo sapiens has revealed that the same amino acids are used in different patterns to generate diverse B-ZIP dimerization patterns [C.D. Deppmann, A. Acharya, V. Rishi, B. Wobbes, S. Smeekens, E.J. Taparowsky, C. Vinson, Dimerization specificity of all 67 B-ZIP motifs in Arabidopsis thaliana: a comparison to Homo sapiens B-ZIP motifs, Nucleic Acids Res. 32 (2004) 3435-3445]. The challenge ahead is to investigate the biological significance of different B-ZIP protein-protein interactions. Gaining insight at this level will rely on ongoing investigations to (a) define the role of target DNA on modulating B-ZIP dimerization partners, (b) characterize the B-ZIP transcriptome in various cells and tissues through mRNA microarray analysis, (c) identify the genomic localization of B-ZIP binding at a genomic level using the chromatin immunoprecipitation assay, and (d) develop more sophisticated imaging technologies to visualize dimer dynamics in single cells and whole organisms. Studies of B-ZIP family leucine zipper dimerization and the regulatory mechanisms that control their biological activities could serve as a paradigm for deciphering the biophysical and biological parameters governing other well-characterized protein-protein interaction motifs. This review will focus on the dimerization specificity of coiled-coil proteins, particularly the human B-ZIP transcription family that consists of 53 proteins that use the leucine zipper coiled-coil as a dimerization motif.

Amino Acid Motifs↗

PubMed2003

The Schistosoma mansoni gene index: gene discovery and biology by reconstruction and analysis of expressed gene sequences.

Expressed sequence tag (EST) sequencing and analysis is a primary research tool to identify and characterize the Schistosoma mansoni transcriptome. As part of our gene discovery effort, a total of 5,793 ESTs have been generated from clones selected randomly from complementary DNA (cDNA) libraries constructed from male and female adult worms. Assembly analysis of all the 16,813 public S. mansoni ESTs has identified 1,920 distinct tentative consensus sequences (TCs) and 5,571 nonoverlapping ESTs (singletons). Of these, 376 TCs (20%) and 1,449 singletons (26%) are unique to the SUNY/TIGR sequencing effort. Tentative consensus sequences and singletons were distributed into various categories of biological roles associated with cell structure, metabolism, protein fate, signal transduction, transcription, protein synthesis, transporters, and cell growth. The TCs and singletons represent transcripts that can be used as a resource for functional annotation of genomic sequence data, comparative sequence analysis, and cDNA clone selection for microarray projects. The utility of EST analysis is demonstrated by identifying new protease genes, which may be involved in hemoglobin degradation.

Amino Acid Sequence↗

PubMed2025

Beyond BRCA deficiency: Clinical and molecular predictors of survival in patients with BRCA-deficient tubo-ovarian high-grade serous carcinoma.

BRCA-associated homologous recombination deficiency (HRD) is present in ~50% of high-grade serous carcinomas (HGSC) and predicts sensitivity to platinum-based therapy. However, there is little understanding of why some patients with BRCA-deficient tumors experience unexpectedly poor outcomes. We profiled 154 tumors, enriched for patients with BRCA-deficient tumors that experienced short overall survival (≤3 years, n=42), using whole-genome, transcriptome, and methylation analyses. All but one BRCA-deficient tumor exceeded an accepted HRD genomic scarring threshold. However, patients with BRCA1-deficient HGSC with a more elevated HRD score survived significantly longer. Patients with BRCA2-deficient HGSC and loss of NF1 survived twice as long as those without NF1 loss, whereas PIK3CA or RAD21 amplification defined BRCA2-deficient HGSC with exceptionally short survival. BRCA1-deficient tumors in short survivors had evidence of immunosuppressive c-kit signaling and EMT. In a large HGSC cohort (n=1,389) including 282 individuals with pathogenic germline BRCA variants (gBRCApv), the location of the mutation within functional domains stratified clinical outcomes. Notably, residual disease after primary surgery had limited prognostic effect in gBRCApv-carriers compared to non-carriers. Our findings indicate that tumor HR proficiency in the context of therapy response and survival is not a binary property, and highlight genomic and immune modifiers of outcomes in BRCA-deficient HGSC.

Journal Article↗

PubMed2026

Mitochondrial Haplotype Shapes the Trajectory of Ovarian Aging in Genetically Heterogeneous Rats.

Ovarian aging leads to permanent reproductive senescence and systemic hormonal changes that predispose women to age-associated comorbidities. Despite these observations, the intrinsic mechanisms driving age-related ovarian decline are poorly defined. Mitochondrial DNA (mtDNA) mutations and instability are strongly associated with aging; however, it remains unknown if naturally occurring mitochondrial genetic variation influences the trajectory of ovarian aging. To address this, we compared two genetically heterogeneous rat cohorts (OKC-HETB and OKC-HETW) that differ in mitochondrial haplotype on a randomized but equivalently distributed nuclear background. The OKC-HETW haplotype was associated with accelerated loss of primordial follicles and pathological remodeling marked by fibrosis, macrophage infiltration, and multinucleated giant cells. These tissue-level pathologies were paralleled by mitochondrial dysfunction, characterized by decreased respiratory complex activity, ATP production, and mtDNA copy number. Mechanistically, we identified a haplotype-specific defect in mitochondrial genome maintenance. Although TFAM expression was normal, and total TFAM protein was elevated, OKC-HETW ovaries showed reduced mitochondrial TFAM abundance, TFAM-mtDNA binding, and TOMM20, suggesting that impaired TOMM20-mediated import is associated with compromised mitochondrial genomic stability. Longitudinal transcriptomic and proteomic analyses further indicate that mitochondrial haplotype influences the rate of ovarian aging, with OKC-HETW ovaries showing accelerated activation of inflammatory and fibrotic pathways alongside suppressed proteostasis and mitochondrial function. These defects corresponded to impairments in ovulation and a trend toward worsening oocyte quality. Collectively, our findings identify mitochondrial haplotype as a heritable modifier of ovarian aging rate that acts in concert with the nuclear genome, and a putative target for preserving ovarian function and female healthspan.

Animals↗

PubMed2026

DNA methylation as a driver of lung fibroblast senescence in COPD.

Cellular senescence is increasingly recognized as a hallmark of chronic obstructive pulmonary disease (COPD), with higher levels in lung fibroblasts from COPD patients. Upon senescence, both hypomethylation and hypermethylation have been described but not in COPD-derived fibroblasts yet. This study investigated whether altered DNA methylation can be a driver of fibroblast senescence in COPD. Genome-wide gene expression and DNA methylation data were generated from primary lung fibroblasts of 11 COPD stage IV patients and 10 matched controls. Gene expression of six well-known senescence genes was compared between COPD and control. COPD-associated senescence genes were correlated with their related CpG sites in an expression quantitative trait methylation (eQTM) analysis. Methylation levels of significant eQTMs were compared between COPD and control fibroblasts. A causal relationship between altered DNA methylation and senescence was validated in 5-Aza-2'-deoxycytidine (5-Aza-2'-dC)-treated primary lung fibroblasts. Gene expression of CDKN1A, CDKN2A, and CDKN2B was higher, while LMNB1 expression was lower in COPD-derived fibroblasts compared to controls. A total of 19 eQTMs were found for the COPD-associated senescence genes CDKN1A (9), CDKN2A (1), and LMNB1 (9). Among these, seven CpG sites (4 for CDKN1A and 3 for LMNB1) exhibited differential methylation between COPD and control. Treatment with 5-Aza-2'-dC led to global demethylation and increased senescence and, importantly, confirmed the association between senescence and hypomethylation of the COPD-associated CpG site cg04924375. Altered DNA methylation is linked to fibroblast senescence in COPD, and seven CpG sites are identified as potential epigenetic regulators of the senescence genes CDKN1A and LMNB1.NEW & NOTEWORTHY This study identifies DNA methylation as a mechanistic contributor to lung fibroblast senescence in chronic obstructive pulmonary disease (COPD). By integrating DNA methylation data with the transcriptomic data of senescence-related genes, we uncovered seven COPD-associated CpG sites linked to the senescence regulators CDKN1A and LMNB1. Pharmacological demethylation induces fibroblast senescence and is consistent with a functional role for hypomethylation at cg04924375, providing new insight into epigenetic regulation of cellular senescence in COPD lung fibroblasts.

Humans↗

PubMed2026

Uncovering hub genes and key pathways responsive to drought stress in rice via meta-analysis of transcriptomic data.

Drought stress presents a formidable threat to global rice cultivation, triggering complex molecular responses that impact plant growth and productivity. To decipher the underlying gene expression dynamics, we performed a comprehensive meta-analysis of transcriptomic datasets derived from drought-tolerant rice genotypes. Via microarray data from three independent studies, we identified a set of consistently expressed differentially expressed genes (DEGs) under drought conditions. Integration of functional annotation tools, including GO and KEGG pathway enrichment, revealed key biological processes and signaling cascades involved in stress mitigation, such as ABA signaling, protein folding, and photosynthesis suppression. Protein-protein interaction (PPI) network construction, followed by hub gene identification via maximal clique centrality (MCC), highlighted pivotal regulators including LEA proteins, dehydrins, HSP70, and several transcription factors. Machine learning approaches further prioritize potential biomarkers, with Random Forest models achieving high classification accuracy and pinpointing key predictive genes. Chromosomal localization analysis provided spatial insights into the distribution of these hub genes, whose expression patterns were further compared against qRT-PCR data from previously published studies. This integrative approach identifies candidate genomic markers and mechanistic insights that may support future breeding strategies for drought-tolerant rice, pending experimental validation.

Cytoscape↗

PubMed2006

Enhanced frequency of CD18- and CD49b-expressing T cells in peripheral blood of asthmatic patients correlates with disease severity.

BACKGROUND: Results from a transcriptome analysis of human CD4+ T regulatory type 1 (Tr1) clones have indicated that transcripts for the integrins CD18 and CD49b are overexpressed in these cells. The aim of this study was to investigate whether the presence of T cells concomitantly expressing these molecules could be detected in asthmatic patients and represent Tr1 cells. METHODS: Expression of CD18 and CD49b was analyzed by flow cytometry on peripheral blood mononuclear cells from asthmatic patients of various severity and healthy subjects. The cytokine production profile of purified CD4+ CD18(high) CD49b+ T cells was analyzed by ELISA. The effect of glucocorticoid treatment on the expression of CD18 and CD49b was determined. RESULTS: The frequency of peripheral blood CD18(high) CD49b+ T cells was significantly elevated in severe asthmatic patients, as compared with both mild asthmatic and healthy donors, and was diminished in asthmatic patients with a controlled status of the disease. Neither short-course oral glucocorticoid treatment of asthmatic patients ex vivo, nor culture of their peripheral blood mononuclear cells with dexamethasone in vitro, increased the frequency of CD18(high) CD49b+ T cells, indicating that their presence seems to be independent from recent anti-inflammatory treatment. However, purified CD4+ CD18(high) CD49b+ T cells from these patients, in contrast to those from healthy donors, lacked the production of the immunosuppressive cytokine interleukin-10. CONCLUSION: In contrast to healthy donors, peripheral blood CD18(high) CD49b+ T cells of asthmatic patients do not fulfill the phenotypic criteria of Tr1 cells. Nevertheless, the presence of elevated numbers of peripheral blood CD18(high) CD49b+ T cells is characteristic for patients with severe and uncontrolled asthma.

Adult↗

PubMed2004

Salivary transcriptome diagnostics for oral cancer detection.

PURPOSE: Oral fluid (saliva) meets the demand for noninvasive, accessible, and highly efficient diagnostic medium. Recent discovery that a large panel of human RNA can be reliably detected in saliva gives rise to a novel clinical approach, salivary transcriptome diagnostics. The purpose of this study is to evaluate the diagnostic value of this new approach by using oral squamous cell carcinoma (OSCC) as the proof-of-principle disease. EXPERIMENTAL DESIGN: Unstimulated saliva was collected from patients (n = 32) with primary T1/T2 OSCC and normal subjects (n = 32) with matched age, gender, and smoking history. RNA isolation was done from the saliva supernatant, followed by two-round linear amplification with T7 RNA polymerase. Human Genome U133A microarrays were applied for profiling human salivary transcriptome. The different gene expression patterns were analyzed by combining a t test comparison and a fold-change analysis on 10 matched cancer patients and controls. Quantitative polymerase chain reaction (qPCR) was used to validate the selected genes that showed significant difference (P < 0.01) by microarray. The predictive power of these salivary mRNA biomarkers was analyzed by receiver operating characteristic curve and classification models. RESULTS: Microarray analysis showed there are 1,679 genes exhibited significantly different expression level in saliva between cancer patients and controls (P < 0.05). Seven cancer-related mRNA biomarkers that exhibited at least a 3.5-fold elevation in OSCC saliva (P < 0.01) were consistently validated by qPCR on saliva samples from OSCC patients (n = 32) and controls (n = 32). These potential salivary RNA biomarkers are transcripts of IL8, IL1B, DUSP1, HA3, OAZ1, S100P, and SAT. The combinations of these biomarkers yielded sensitivity (91%) and specificity (91%) in distinguishing OSCC from the controls. CONCLUSIONS: The utility of salivary transcriptome diagnostics is successfully demonstrated in this study for oral cancer detection. This novel clinical approach could be exploited to a robust, high-throughput, and reproducible tool for early cancer detection. Salivary transcriptome profiling can be applied to evaluate its usefulness for other major disease applications as well as for normal health surveillance.

Biomarkers, Tumor↗

PubMed2005

Drosophila host defense after oral infection by an entomopathogenic Pseudomonas species.

Drosophila has been shown to be a valuable model for the investigation of host-pathogen interactions. Study of the Drosophila immune response has been hampered, however, by the lack of true Drosophila pathogens. In nearly all studies reported, the bacteria used were directly injected within the body cavity of the insect, bypassing the initial steps of a natural interaction. Here, we report the identification of a previously uncharacterized bacterial species, Pseudomonas entomophila (Pe), which has the capacity to induce the systemic expression of antimicrobial peptide genes in Drosophila after ingestion. In contrast to previously identified bacteria, Pe is highly pathogenic to both Drosophila larvae and adults, and its persistence in larvae leads to a massive destruction of gut cells. Using this strain, we have analyzed the modulation of the larval transcriptome upon bacterial infection. We found that natural infection by Pe induces a dramatic change in larval gene expression. In addition to immunity genes, our study identifies many genes associated with Pe pathogenesis that have been previously unreported.

Animals↗

PubMed2026

Combining Annotation Software to Identify Orthologous Genes (CASIO) Provides a New Dataset of Orthologous Genes for Swallowtail Butterflies.

With the massive increase in genomic resources, it is becoming increasingly popular to analyse thousands of loci across many species. However, many of the available genomes are not annotated, which hinders an efficient search for orthologous protein-coding genes. Here, we aim to develop a semi-automated pipeline and compare four genomic annotation methods (BRAKER2, BUSCO, Miniprot and Scipio). Our results highlight the importance of integrating multiple annotation tools to optimise ortholog detection and improve genomic studies. Each annotation method showed different strengths. BRAKER2 annotated a substantial number of genes. BUSCO, despite limitations inherent to its reference database, identified a higher number of orthologs. Miniprot exhibited notable flexibility in accommodating diverse protein datasets, whereas Scipio successfully recovered a considerable set of genes that were not detected by the other tools. The combination of these tools allowed for more comprehensive ortholog detection. Taking advantage of this pipeline, we developed a comprehensive dataset of orthologous genes for swallowtail butterflies (Lepidoptera: Papilionidae), called Papilionidae_odb, which will facilitate future studies, especially for a non-model group with abundant genomic data and few transcriptomic resources. We tested Papilionidae_odb by inferring a robust phylogenetic framework for Leptocircini using 142 complete genomes, which improved branch support for some phylogenetic relationships, although challenges remained in resolving relationships within certain species groups, likely due to rapid radiations. Our results highlight the complementary nature of the annotation methods and suggest that combining these tools can yield more accurate results in genomic research. This approach was implemented in a Snakemake workflow called CASIO (Combining Annotation Software to Identify Orthologous genes) and can easily be applied to other non-model groups to improve genomic datasets in diverse taxa where transcriptomic resources are still limited.

Animals↗

PubMed2003

Optimized protocol for linear RNA amplification and application to gene expression profiling of human renal biopsies.

Gene expression analysis using high-density cDNA or oligonucleotide arrays is a rapidly emerging tool for transcriptomics, the analysis of the transcriptional state of a cell or organ. One of the limitations of current methodologies is the requirement of a relatively large amount of total or polyadenylated RNA as starting material. Standard array hybridization protocols require 5-15 micrograms labeled RNA. To obtain these quantities from small amounts of starting RNA material, RNA can be amplified in a linear fashion. Here we introduce an optimized protocol for rapid and easy-to-use amplification of as little as 1 ng total RNA. Our analysis shows that this method is linear and highly reproducible and that it preserves similarities as well as dissimilarities between normal and disease-related samples. We applied this technique to the RNA expression profiling of human renal allograft biopsies with normal histology and compared them to the profiles of renal biopsies with histological evidence of chronic transplant nephropathy or chronic rejection. Among others, complement component C1r was found to be significantly up-regulated in chronic rejection and chronic transplant nephropathy biopsies compared to normal samples, while fructose-1,6-biphosphatase showed lower-than-normal expression.

Gene Expression Profiling↗

PubMed2026

Genome-wide identification and comparative analysis of Leucine-Rich Repeat Containing (LRRC) gene and their expression responses to Vibrio alginolyticus infection in the Manila clam (Ruditapes philippinarum).

Leucine-rich repeat (LRR) domains are important components of many pattern recognition receptors (PRRs). Previous studies have demonstrated that LRR domain-containing immune receptors, such as nucleotide-binding oligomerization domain-like receptors (NLRs) and Toll-like receptors (TLRs), play important roles in innate immunity in aquatic animals. In addition to these well-characterized LRR-containing receptors, also possesses a group of LRR-containing proteins. These proteins were collectively referred to as leucine-rich repeat-containing (LRRC) proteins in this study, and their genomic characteristics, evolutionary relationships, were systematically analyzed. In this study, a genome-wide identification and characterization of LRRC genes were performed in the Manila clam. A total of 97 unclassified LRR genes were identified and designated as RpLRRCs.. Expression profiling indicated that RpLRRCs are predominantly expressed in the labial palps, digestive gland, and gills, increasing from the blastula stage and peaking at the juvenile stage during development, based on the transcriptome results from V. alginolyticus, V. anguillarum and V. parahaemolyticus, some RpLRRCs were involved in the response to different Vibrio stress. The qPCR analysis following V. alginolyticus challenge demonstrated that different RpLRRC members exhibit diverse response patterns to Vibrio infection. These results suggest that RpLRRCs may play critical roles in immune regulation. The RpLRRC gene family exhibits diverse structural characteristics and regulatory mechanisms and likely plays important roles in the growth, development, and immune response of R. philippinarum.

Immune response↗

PubMed2001

Quantitative expression profile of androgen-regulated genes in prostate cancer cells and identification of prostate-specific genes.

Quantitative expression profile of androgen-regulated genes (ARGs) was evaluated in the hormone-responsive prostate cancer cell line LNCaP by serial analysis of gene expression (SAGE). A total of 83,489 SAGE tags representing 23,448 known genes or expressed sequence tags (ESTs) and 1,655 potentially novel sequences have unraveled the transcriptome of LNCaP cells, the most common cell line used in prostate cancer research. Comparison of transcripts between control and R1881-treated LNCaP cells revealed the induction of 136 genes and repression of 215 genes in response to androgen (p < 0.05). Strikingly, a high fraction ( approximately 90%) of ARGs identified in our study has not been described as ARGs previously. A number of prostate-specific transcription factors were among the ARGs identified here. Classification of the ARGs on the basis of biochemical functions revealed that a great majority of ARGs identified in our experimental system appear to be involved in regulation of transcription, splicing, ribosomal biogenesis, mitogenesis, bioenergetics and redox processes. One of the novel aspects of androgen signaling included androgen regulation of genes involved in DNA repair/recombination process. By comparing our LNCaP-C and LNCaP-T SAGE libraries with SAGE tag libraries available at the NCBI-SAGE website, we have identified >200 potential prostate specific/abundant transcripts. The discovery of new prostate-specific genes and ARGs provides a unique opportunity to determine the role of these genes in prostate cell growth, differentiation and tumorigenesis.

Androgens↗

PubMed2026

Hypoosmolarity inhibits ammonia oxidation by terrestrial and freshwater Nitrosopumilaceae members.

Salinity strongly influences the physiology and distribution of nitrifying microorganisms, yet the effects of low salinity remain understudied. This study investigates the impact of hypoosmolarity on different groups of ammonia oxidizers in soil and freshwater reservoirs, as well as in pure culture isolates. In soil microcosms amended with ammonium, at low salinity levels (~120 μS/cm), comparable to values commonly found in pristine terrestrial and freshwater environments, the abundance of ammonia-oxidizing bacteria (AOB), dominated by Nitrosomonas oligotropha, significantly increased. In contrast, the growth of ammonia-oxidizing archaea (AOA), dominated by "Candidatus Nitrosotenuis" of the Nitrosopumilaceae family, was stimulated by high salinity (~760 μS/cm). In ammonium-fed freshwater microcosms, the abundance of AOB, dominated by N. oligotropha, significantly increased under both low (~170 μS/cm) and high salinity (~850 μS/cm) conditions. In the presence of allylthiourea (50 μM), used to inhibit bacterial ammonia oxidation, AOA were sensitive to low salinity in both soil and freshwater microcosms. Consistently, culture-dependent studies revealed marked growth inhibition of terrestrial AOA, especially members of Nitrosopumilaceae, under hypoosmolarity, unlike AOB and complete ammonia oxidizer (comammox) strains. Genomic analyses, along with transcriptomic studies, suggested that the sensitivity of AOA to hypoosmolarity stress was possibly due to a lack of osmoregulatory transport systems and their S-layer cell wall structure. Overall, this study indicates hypoosmolarity as an important factor shaping the ecological niches and distribution of ammonia oxidizers, as well as nitrification activities, in terrestrial and freshwater environments that are increasingly affected by intensified water cycles due to global change.

Ammonia↗