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6,225 results for “expression analysis”
Pan-cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics
<p>CPTAC PAN-cancer Data Repository</p> <p>Welcome to the CPTAC PAN-cancer Data Repository! This repository serves as a data repository for the CPTAC PAN-cancer effort, which focuses on cancer target discovery. It contains various data sets related to protein abundance estimation, derived TMT-TPA, iBAQ, iBAQ-derived copy number, and differential protein expression for CPTAC ten indications.</p> <p>## Contents</p> <p>The repository includes the following data:</p> <p>- FragPipe Output: Protein abundance estimation data generated using the FragPipe software.<br> - Derived TMT-TPA: Data derived from Tandem Mass Tag (TMT) based Total Protein Approach (TPA).<br> - iBAQ: Data representing intensity-based absolute quantification (iBAQ) of proteins.<br> - iBAQ-derived Copy Number: Data derived from iBAQ analysis for copy number estimation.<br> - Differential Protein Expression: Data indicating differential expression of proteins between tumor and NAT.</p> <p>## Data Organization</p> <p>The data in this repository is organized in a structured manner to facilitate easy access and navigation. The repository structure is as follows:</p> <p>FragPipe/<br> [fragpipe_data_files]<br> Derived_TMT_TPA/<br> [derived_tmt_tpa_data_files]<br> iBAQ/<br> [ibaq_data_files]<br> iBAQ-derived_copy_number/<br> [ibaq_copy_number_data_files]<br> Differential_protein_expression/<br> [differential_expression_data_files]</p>
Results of the differential gene expression analysis in SIV infection in Chlorocebus sabaeus and Macaca mulatta
<p>Results of differential gene expression analysis in SIV infection in Chlorocebus sabaeus and Macaca mulatta.</p> <p>From the transcriptome data repository MACE (http://mace.ihes.fr)</p>
Transcriptome analysis of anuran breeding glands reveals a surprisingly high expression and diversity of NNMT-like genes
<p><strong>Abstract</strong></p> <p>In many amphibians, males have sexually dimorphic breeding glands, which can produce proteinaceous or volatile pheromones, used for intraspecific communication. In this study we analyse two types of glands in the Mexican treefrog species <em>Ptychohyla macrotympanum </em>(Hylidae) – large ventrolateral glands and small nuptial pads on their fingers – using histology, whole-transcriptome sequencing and phylogenetic analyses. We found strong differences in glandular tissue composition and gene expression patterns between the two breeding gland types. In both glands we only found low expression of protein pheromone candidates. Instead, in the ventrolateral glands, gene expression was strikingly dominated by nicotinamide N-methyltransferase (NNMT)-like genes. Diversity of these genes was remarkably high, with at least 68 distinct NNMT-like genes. Our phylogenetic comparative analysis of the diversity of NNMT-like genes across vertebrates indicates that the extreme diversity of this gene is largely a frog-specific phenomenon and can be traced to large numbers of relatively recent gene duplications occurring independently in many lineages. The strong dominance and astonishing diversity of NNMT-like genes found in anurans in general, and in their sexually dimorphic breeding glands specifically, suggests an important function of NNMT-like proteins for anuran reproduction, possibly being related to volatile pheromone production.In many amphibians, males have sexually dimorphic breeding glands, which can produce proteinaceous or volatile pheromones, used for intraspecific communication. In this study we analyse two types of glands in the Mexican treefrog species <em>Ptychohyla macrotympanum </em>(Hylidae) – large ventrolateral glands and small nuptial pads on their fingers – using histology, whole-transcriptome sequencing and phylogenetic analyses. We found strong differences in glandular tissue composition and gene expression patterns between the two breeding gland types. In both glands we only found low expression of protein pheromone candidates. Instead, in the ventrolateral glands, gene expression was strikingly dominated by nicotinamide N-methyltransferase (NNMT)-like genes. Diversity of these genes was remarkably high, with at least 68 distinct NNMT-like genes. Our phylogenetic comparative analysis of the diversity of NNMT-like genes across vertebrates indicates that the extreme diversity of this gene is largely a frog-specific phenomenon and can be traced to large numbers of relatively recent gene duplications occurring independently in many lineages. The strong dominance and astonishing diversity of NNMT-like genes found in anurans in general, and in their sexually dimorphic breeding glands specifically, suggests an important function of NNMT-like proteins for anuran reproduction, possibly being related to volatile pheromone production.</p> <p> </p> <p><strong>Supplementary datasets accompanying the paper:</strong></p> <p>- final RNAseq assemblies of the ventrolateral glands and the nuptial pads of <em>Ptychohyla macrotympanum</em><br> - fasta-file of all <em>Ptychohyla</em>-NNMT-like genes found in this study</p>
RNA-seq based analysis of gene expression in thyroids of wild-type and Keap1 knockdown mice after exposure to excess iodide.
<p>C57BL/6J Keap1flox/flox mice were developed by Prof. Masayuki Yamamoto (DOI: 10.1016/j.bbrc.2005.10.185). These mice express lower levels of Keap1 because of the loxP site insertions (DOI: 10.1128/MCB.01591-09) and are designated as Keap1KD. 3-4 months old WT and Keap1KD mice fed a standard diet (KLIBA NAFAG 3242, Switzerland) containing 1.5 mg/kg sodium iodine were given normal tap water with or without 0.05% sodium iodide (Sigma, St Louis, MO, USA) for 7 days. Hence, the following groups of mice were included:</p> <p>WT mice on control water (n=8)-designated as wt in the file</p> <p>WT mice exposed to excess iodide (WT-IOD, n=6)- designated as wti in the file</p> <p>Keap1KD mice on control water (n=8)- designated as kp in the file</p> <p> and Keap1KD mice exposed to excess iodide (Keap1KD-IOD, n=6)- designated as kpI in the file. </p> <p> Mice were maintained in the animal facility of the Department of Physiology at the University of Lausanne in temperature-, light-, and humidity-controlled rooms with a 12-hour light/dark cycle. All animal procedures were in accordance with Swiss legislature and the study was approved by the Canton of Vaud SCAV.</p> <p>RNA from individual mouse thyroids was prepared as previously described (DOI: 10.1007/978-1-4939-3756-1_25) and was submitted to Alithea Genomics (Switzerland). The bulk RNA barcoding and sequencing (BRB-seq) libraries were generated and sequenced as described previously (DOI: 10.1186/s13059-019-1671-x) to a depth of approximately 1.2 million raw reads per sample.</p> <p>This research was funded by the Swiss National Science Foundation Research Grants 310030_212558, IZCOZ0_205415 and IZCOZ0_177070</p> <p></p> <p></p>
The raw microarray data and the differential expression analysis results from "Manipulating the growth environment through co-culture to enhance stress tolerance and viability of probiotic strains in the gastrointestinal tract".
<p>The signal data for each spot were subsequently quantified by using Feature Extraction software (Agilent Technologies).M1.txt to M5.txt: monoculture; C1.txt to C5.txt: co-culture; P1.txt to P5.txt: pH-controlled monoculture. The differential expression analysis results were obtained by using limma.</p>
Lineage-resolved analysis of embryonic gene expression evolution in C. elegans and C. briggsae
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RNAseq analysis of gene counts and expression levels in diabetic foot ulcers
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Extended data tables to Haering and Habermann, F1000Res, RNfuzzyApp: an R shiny RNA-seq data analysis app for visualisation, differential expression analysis, time-series clustering and enrichment analysis
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Exploratory analysis of sleep deprivation effects on gene expression and regional brain metabolism
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Replicated differential expression analysis in a green-brown polymorphic grasshopper reveals role of beta-carotene-binding protein in body coloration
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Data from: Single cell RNA-seq analysis reveals that prenatal arsenic exposure results in long-term, adverse effects on immune gene expression in response to Influenza A infection
<p>Arsenic exposure via drinking water is a serious environmental health concern. Epidemiological studies suggest a strong association between prenatal<i> </i>arsenic exposure and subsequent childhood respiratory infections, as well as morbidity from respiratory diseases in adulthood, long after systemic clearance of arsenic.<i> </i>We investigated the impact of exclusive prenatal arsenic exposure on the inflammatory immune response and respiratory health after an adult influenza A (IAV) lung infection. C57BL/6J mice were exposed to 100 ppb sodium arsenite<i> in utero,</i> and subsequently infected with IAV (H1N1) after maturation to adulthood. Assessment of lung tissue and bronchoalveolar lavage fluid (BALF) at various time points post IAV infection reveals greater lung damage and inflammation in arsenic exposed mice versus control mice. Single-cell RNA sequencing analysis of immune cells harvested from IAV infected lungs suggests that the enhanced inflammatory response is mediated by dysregulation of innate immune function of monocyte derived macrophages, neutrophils, NK cells, and alveolar macrophages. Our results suggest that prenatal arsenic exposure results in lasting effects on the adult host innate immune response to IAV infection, long after exposure to arsenic, leading to greater immunopathology. This study provides the first direct evidence that exclusive prenatal exposure to arsenic in drinking water causes predisposition to a hyperinflammatory response to IAV infection in adult mice, which is associated with significant lung damage.</p>
Accompanied data files used in the paper "Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis"
<p>lists of source file used in the paper "Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis" by Jing Yang, Amanda McGovern, Paul Martin, Kate Duffus, Xiangyu Ge, Peyman Zarrineh, Andrew P Morris, Antony Adamson, Peter Fraser, Magnus Rattray & Stephen Eyre. The paper has been accepted by Nature Communications.</p>
Analysis of gene expression in autoimmune and autoinflammatory diseases using GSEA
<p>This dataset contains the results of gene set enrichment analysis (GSEA) of gene expression in the studied diseases. The archive is organized in folders according the GEO accessions for the raw data (see table 1 of the main article). If multiple diseases were studied within one GEO data series, GSEA was performed for each disease separately. Healthy subject data included in each data series were used as reference. </p> <p>For example <strong><em>"GSE3365.IBD"</em></strong> folder contains GSEA for Crohn's disease (CD) and ulcerative colitis (US). The <em><strong>"results"</strong></em> folder in <em><strong>"GSE3365.IBD"</strong></em> contains two subfolders <strong><em>"GSE3365CDvcHC"</em></strong> and <em><strong>"GSE3365UCvcHC"</strong></em>, respectively. The results can be browsed with <em><strong>"index.html"</strong></em> files located in each subfolder. </p>
Dataset for a Mouse and Rat heart trancriptomic and co-expression network analysis
<ul> <li>mouse_heart_data and rat_heart_expression contain GEO expression matrix for mouse and rat experiments.</li> <li>gse_gsm_mouse.txt and gse_gsm_rat.txt contain experiment IDs and series IDs from GEO.</li> <li>heart_quantNormData_mouse.tsv and heart_quantNormData_rat.tsv contain normalised expression matrices.</li> <li>heart_quantNormData_mouse_1sd.tsv and heart_quantNormData_rat_1sd.tsv contain the normalised expression matrices restricted to genes with a standard deviation higher than 1.</li> <li>fileForSCHypeThreshold0.5_heart.txt and fileForSCHypeThreshold0.75_heart.txt are the input for SCHype. schype_output_0.5th_heart.nodes.txt, schype_output_0.5th_heart.edges.txt, schype_output_0.75th_heart.nodes.txt and schype_output_0.75th_heart.edges.txt are the outputs.</li> <li>geneLists.zip contains gene lists used for ontology analysis (ENSEMBL gene id)</li> </ul>
Analysis of heme and iron influence on Porphyromonas gingivalis A7436 and ATCC 33277 strains genes expression (microarray results)
<p>The aim of this study was to analyze phenotypic differences between <i>P. gingivalis</i> more virulent A7436 and less virulent ATCC 33277 (33277) strains. The analysis comprised the influence of heme and iron on <i>P. gingivalis</i> gene expression. </p><p><i>P. gingivalis</i> A7436 and 33277 strains were cultured in basal medium (3% trypticase soy broth and 0.5% yeast extract), supplemented with 3.6 mM L-cysteine hydrochloride, and 0.5 mg/l menadione, in anaerobic conditions (80% N2, 10% H2 and 10% CO2). To generate heme and iron-limited conditions, the medium was supplemented with 0.16 mM of the iron chelator 2,2-dipyridyl (DIP conditions). To generate heme and iron-rich conditions, the medium was supplemented with 0.0077mM hemin chloride (Hm conditions). Three sample replicates of A7436 and 33277 strains were grown in Hm or DIP conditions for 20 hours. RNA isolation and microarray analysis were performed in IMGM laboratories (Martinsried, Germany), as described by Śmiga et al. (2023).</p><p>The online tool eArray (http://earray.chem.agilent.com/; Agilent Technologies, Santa Clara, CA, USA) was used to design an Agilent Custom <i>Porphyromonas gingivalis</i> A7436 Gene Expression Microarray (8×15K format). Probes were prepared based on <i>P. gingivalis</i> transcriptome information derived from the NCBI reference sequence NZ_CP011995.1. Total RNA isolation, RNA quantity, and quality were determined as described by Curaszkiewicz et al. 2014. For internal labeling control, the total RNA was spiked with <i>in vitro </i>synthesized polyadenylated transcripts (One-Color RNA Spike-In Mix; Agilent Technologies). Subsequently, samples were reverse transcribed into cDNA and then converted into cyanine-3-labeled complementary RNA (cRNA) with Low Input Quick-Amp Labeling Kit One-Color (Agilent Technologies). For microarray hybridization, a Gene Expression Hybridization Kit (Agilent Technologies) was used. Labeled cRNA was hybridized for 17 hours at 65℃ on Agilent Custom GE 8×15K Microarrays, washed according to the manufacturer's protocol, and dried with acetonitrile (Sigma-Aldrich). The fluorescence of samples was detected with Scan Control A.8.4.1 software (Agilent Technologies) on the Agilent DNA Microarray Scanner (Agilent Technologies) and extracted from the images using Feature Extraction 10.7.3.1 software (Agilent Technologies). For data analysis, Feature Extraction 10.7.3.1 (Agilent Technologies), GeneSpring GX 13.1.1 (Agilent Technologies), and Excel 2010 (Microsoft, Redmond, WA, USA) were used. For statistical analysis, Welch's approximate <i>t</i>-test was used. Differences in gene expression are shown as fold change values (FC). The average was calculated from the normalized signal values and they were transformed from the log2 to the linear scale. Increases and decreases in gene expression are shown as positive and negative numbers, respectively. The fold change in gene expression was considered significant for FC ≥ 2 or FC ≤ -2 and <i>P</i>-value ≤ 0.05</p><ul><li>Ciuraszkiewicz J, Śmiga M, Mackiewicz P, Gmiterek A, Bielecki M, Olczak M, Olczak T. 2014. Fur homolog regulates <i>Porphyromonas gingivalis </i>virulence under low-iron/heme conditions through a complex regulatory network. Mol Oral Microbiol 29:333-353. doi: 10.1111/omi.12077.</li><li>Śmiga M, Ślęzak P, Olczak T. 2023. Comparative analysis of <i>Porphyromonas gingivalis</i> A7436 and ATCC 33277 strains reveals differences in the expression of heme acquisition systems. Microbiol Spectr (revised manuscript under revision).</li></ul>
Expression analysis of targeted genes Sgt1 (A) and Hsp90 (B) in tomato plants subjected to virus-induced gene silencing using Tobacco rattle virus (TRV) vector.
<p><strong>Figure S1</strong>. Expression analysis of targeted genes Sgt1 (A) and Hsp90 (B) in tomato plants subjected to virus-induced gene silencing using Tobacco rattle virus (TRV) vector. (A) Relative expression levels of Sgt1 analyzed by Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) in tomato plants infected with TRV vector alone (TRV2), TRV carrying Sgt1 silencing constructs (TRV-Sgt1), and mock-inoculated (Mock). Transcript levels were normalized using tomato genes encoding elongation factor 1-α and SAND as internal references, with Mock as the calibrator. (B) Relative expression levels of Hsp90 analyzed by RT-qPCR in tomato plants infected with TRV2, TRV-Hsp90, and Mock. Gene expression levels were normalized using the same reference genes as in (A). (C) Quantification of the relative accumulation of TRV RNA in plants infected with TRV2 and in silenced plants (TRV-Sgt1 and TRV-Hsp90). The expression levels were normalized using tomato genes for elongation factor 1-α and SAND, with TRV2 as the calibrator. All samples were collected at 19 dpi to anticipate the observed decline. Error bars represent standard errors of five biological replicates, and an asterisk indicates a significant difference, as determined by one-way ANOVA with P < 0.05</p>
LsRTDv1: A reference transcript dataset for accurate transcript-specific expression analysis in lettuce
<p>Accurate quantification of gene and transcript-specific expression, with the underlying knowledge of precise transcript isoforms, is crucial to understanding many biological processes. Analysis of RNA sequencing data has benefited from the development of alignment-free algorithms which enhance the precision and speed of expression analysis. However, such algorithms require a reference transcriptome. Here we present a reference transcript dataset (LsRTDv1) for lettuce, combining long- and short-read sequencing with publicly available transcriptome annotations, and filtering to keep only transcripts with high-confidence splice junctions and transcriptional start and end sites. LsRTDv1 is a valuable resource for the investigation of transcriptional and alternative splicing regulation in lettuce.</p>
Analysis of gene expression in the postmortem brain of neurotypical Black Americans reveals contributions of genetic ancestry: Source and Supplementary Data
<p><em><strong>Source and Supplementary data for AANRI manuscript</strong></em></p>
Identification and expression analysis of transcription factors in the Carallia brachiata genome
<p>Rhizophoraceae has 2 terrestrial genera and 4 marine genera. The intertidal zone in which marine mangroves are located is known for its low oxygen and high salinity. Marine and terrestrial genera have evolved distinct adaptive characteristics, among which viviparous reproduction is the most unique. To investigate the genetic foundations difference underlying the adaptive mechanisms of marine–terrestrial genera, we selected two species from Rhizophoraceae. <em>Kandelia obovata</em> is marine and viviparous, and <em>Carallia brachiata</em> is terrestrial and non-viviparous.<em> </em>We compared their transcriptome of 8 tissues (root, stem, leaf, flower, ovule, fruit, seed, embryo) and found that the mature reproductive organs (fruit, seed, embryo) of <em>K. obovata </em>did not reduce metabolic activity compared to <em>C. brachiata</em>. The reproductive organs of <em>K. obovata</em> were regulated by the same gene set as vegetative organs. This contrasted with <em>C. brachiata</em>. Eight kinds of hormone transduction genes were up-regulated in the seed of <em>K. obovata</em>. Finally, and most importantly, the transcriptional factors AP2 and ARF families were significantly more expressed in the reproductive organs of <em>K. obovata</em> than in those of <em>C. brachiata</em>. At the same time, the ERF family was more expressed in its roots. The findings suggested that the hormone transduction may contribute to viviparous initiation. Transcriptional factors were quite crucial for mangroves' adaptation to wetlands.</p>
Supplemental Information on the Weighted Gene Co-expression Network Analysis performed for the work "Time-resolved oxidative signal convergence across the algae–embryophyte divide"
<p>Supplemental Information on the Weighted Gene Co-expression Network Analysis (WGNCA) performed for the work "Time-resolved oxidative signal convergence across the algae–embryophyte divide"</p> <p>The results are sorted by the three species analysed: the two algae <em><span>Zygnema circumcarinatum</span></em><span> SAG 698-1b (<em>Zygnema</em>) and <em>Mesotaenium endlicherianum </em></span><span>SAG 12.97 (<em>Mesotaenium</em>); and the bryophyte <em>Physcomitrium patens</em></span><span><em> </em>strain Gransden 2004 (<em>Physcomitrium</em>).</span></p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.