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699 results for “association transcriptomics”

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dryad36/100

Single-cell spatial transcriptomics of an inducible destabilized-domain Cre mouse line to target disease associated microglia

Open the record for dataset details and reuse information.

publicOct 2025View details →
dryad36/100

Neonatal exposure to BPA, BDE-99, and PCB produces persistent changes in hepatic transcriptome associated with gut dysbiosis in adult mouse livers

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publicJan 2022View details →
dryad36/100

Genome-wide association results from: Transcriptomic stratification of late-onset Alzheimer’s cases reveals novel genetic modifiers of disease pathology

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publicNov 2020View details →
dryad36/100

Data from: Transcriptomic signatures associated with underlying rapid changes in the early phase brain of bi-directional sex change in Trimma okinawae

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publicOct 2023View details →
dryad36/100

Transcriptome assemblies associated with: A cnidarian phylogenomic tree fitted with hundreds of 18S leaves

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publicOct 2022View details →
dryad32/100

Transcriptome-wide comparisons and virulence gene polymorphisms of host-associated genotypes of the cnidarian parasite Ceratonova shasta in salmonids

<p><i>Ceratonova shasta</i> is an important myxozoan pathogen affecting the health of salmonid fishes in the Pacific Northwest of North America. <i>C. shasta</i> exists as a complex of host-specific genotypes, some with low to moderate virulence, and one that causes a profound, lethal infection in susceptible hosts. High throughput sequencing methods are powerful tools for discovering the genetic basis of these host/virulence differences, but deep sequencing of myxozoans has been challenging due to extremely fast molecular evolution of this group, yielding strongly divergent sequences that are difficult to identify, and unavoidable host contamination. We designed and optimized different bioinformatic pipelines to address these challenges. We obtained a unique set of comprehensive, host-free myxozoan RNA-seq data from <i>C. shasta </i>genotypes of varying virulence from different salmonid hosts. Analyses of transcriptome-wide genetic distances and maximum likelihood multigene phylogenies elucidated the evolutionary relationship between lineages and demonstrated the limited resolution of the established Internal Transcribed Spacer marker for <i>C. shasta</i> genotype identification, as this marker fails to differentiate between biologically distinct genotype II lineages from coho salmon and rainbow trout. We further analyzed the datasets based on polymorphisms in two gene groups related to virulence: cell migration and proteolytic enzymes including their inhibitors. The developed SNP-calling pipeline identified polymorphisms between genotypes and demonstrated that variations in both motility and protease genes were associated with different levels of virulence of <i>C. shasta</i> in its salmonid hosts. The prospective use of proteolytic enzymes as promising candidates for targeted interventions against myxozoans in aquaculture is discussed. We developed host-free transcriptomes of a myxozoan model organism from strains that exhibited different degrees of virulence, as a unique source of data that will foster functional gene analyses and serve as a base for the development of potential therapeutics for efficient control of these parasites.</p>

opencc-zeroDec 2020View details →
dryad32/100

Data from: Comparative transcriptomics reveals domestication-associated features of Atlantic salmon lipid metabolism

<p>Domestication of animals imposes strong targeted selection for desired traits but can also result in unintended selection due to new domestic environments. Atlantic salmon was domesticated in the 1970s and has subsequently been selected for faster growth in systematic breeding programmes. More recently, salmon aquaculture has replaced fish oils (FO) with vegetable oils (VO) in feed, radically changing the levels of essential long-chain polyunsaturated fatty acids (LC-PUFA). Our aim was to study the impact of domestication on metabolism and explore the hypothesis that the shift to VO-diets has unintentionally selected for a domestication-specific lipid metabolism. We conducted a 96-day feeding trial of domesticated and wild salmon fed diets based on FO, VO or phospholipids (PL), and compared transcriptomes and fatty acids in tissues involved in lipid absorption (pyloric caeca) and lipid turnover and synthesis (liver). Domesticated salmon had faster growth and higher gene expression in glucose and lipid metabolism compared to wild fish, possibly linked to differences in regulation of circadian rhythm pathways. Only the domesticated salmon increased expression of LC-PUFA synthesis genes when given VO. This transcriptome response difference was mirrored at the physiological level, with domesticated salmon having higher LC-PUFA but lower 18:3n-3 and 18:2n-6 levels. In line with this, the VO diet decreased growth rate in wild but not domesticated salmon. Our study revealed a clear impact of domestication on transcriptomic regulation linked to metabolism and suggests that unintentional selection in the domestic-environment has resulted in evolution of stronger compensatory mechanisms to a diet low in LC-PUFA. </p>

opencc-zeroApr 2020View details →
dryad32/100

Data from: Transcriptome-derived tetranucleotide microsatellites and their associated genes from the giant panda (Ailuropoda melanoleuca)

Recently, an increasing number of microsatellites or Simple Sequence Repeats (SSRs) have been found and characterized from transcriptome. Such SSRs can be employed as putative functional markers to easily tag corresponding genes, which play an important role in biomedical studies and genetic analysis. However, the transcriptome-derived SSRs for giant panda (Ailuropoda melanoleuca) are not yet available. In the present work, we identified and characterized 20 tetranucleotide microsatellite loci from a transcript database generated from the blood of giant panda. Furthermore, we assigned their predicted transcriptome locations: 16 loci were assigned to untranslated regions (UTRs) and 4 loci were assigned to coding regions (CDSs). Gene identities of 14 transcripts contained corresponding microsatellites were determined, which provide useful information to study the potential contribution of SSRs to gene regulation in giant panda. The polymorphic information content (PIC) values ranged from 0.293 to 0.789 with an average of 0.603 for the 16 UTRs-derived SSRs. Interestingly, four CDS-derived microsatellites developed in our study were also polymorphic, and the instability of these four CDS-derived SSRs was further validated by re-genotyping and sequencing. The genes contained these four CDS-derived SSRs were embedded with various types of repeat motifs. The interaction of all the length-changing SSRs might provide a way against coding region frameshift caused by microsatellite instability. We hope these newly gene-associated biomarkers would pave the way for genetic and biomedical studies for giant panda in the future. In sum, this set of transcriptome-derived markers complements the genetic resources available for giant panda.

opencc-zeroDec 2015View details →
dryad32/100

Transcript expression data. Environmental responsiveness of flowering time in cassava genotypes and associated transcriptome changes

<p>To advance understanding of the mechanistic factors regulating cassava flowering, the leaf transcriptomes at 1) two stages of plant development were compared in two genotypes at Ubiaja and Ibadan, Nigeria; and 2) three controlled-environment growth chambers.</p>

opencc-zeroJun 2021View details →
zenodo32/100

Fig. 4 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 4. Transcript accumulation of genes associated with wound induced suberization. Transcript accumulation of known and putative genes encoding steps in suberin biosynthesis, from starch degradation to final assembly, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point. Numbered pathway steps correspond to numbers in the suberin roadmap (Supplemental Fig. S4). Fumarase (step 63) is included as a step in the TCA pathway, but is shown in grey because its sequence did not have a corresponding PGSC gene identification number, and therefore transcript abundance could not be estimated in this study.

opennotspecifiedFeb 2023View details →
zenodo32/100

Fig. 6 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 6. Transcript accumulation of wound-induced CASP and GDSL genes. Transcript accumulation of known and putative CASP and GDSL genes, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point.

opennotspecifiedFeb 2023View details →
zenodo32/100

Fig. 3. Network modules for suberin-associated metabolism genes. Expression profiles for 317 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 3. Network modules for suberin-associated metabolism genes. Expression profiles for 317 wound-induced and suberin-associated genes encompassing primary carbohydrate metabolism and the formation of suberin phenolic and aliphatic monomers were subjected to WGCNA. Genes belonging to carbohydrate (C), tricarboxylic acid cycle (TCA), shikimate pathway (S), phenolic metabolism (P), phenolic assembly (PA), fatty acid biosynthesis (FAB), fatty acid modification (FAM) and aliphatic assembly (AA) are colour-coded (see legend). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedFeb 2023View details →
zenodo32/100

Fig. 2 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 2. Gene set enrichment analysis (GSEA) of biological processes across differentially expressed genes (DEGs). Time point comparison panels represent a union parametric analysis of gene set enrichment (PAGE) of biological process (BP) categorized gene ontology (GO) terms. Nodes represent gene sets and their size represents a range from 5 to 464 genes, and edges show overlapping genes between sets, with width representing ranges from 5 to 149 genes. Blue sets are downregulated, red are up-regulated, and grey nodes denote terms that were not detected as significantly differentially regulated (i.e. enriched) at that time point comparison. Labels denote assigned node numbers that correspond to Table 1 with associated GO ID, GO term and regulation overview. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedFeb 2023View details →
zenodo32/100

Fig. 1 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 1. Global overview of the wound-healing transcriptome. A. Principle component analysis (PCA) of RNA-seq libraries. Colours represent biological replicate libraries generated from the same time point (gene log2FPKM space with scaling). B. Differentially expressed genes (DEGs) across time point comparisons. Genes were considered significantly up- or down-regulated if they met p ≤ 0.01 and |log2 (fold change)| (| LFC|) ≥ 2 significance cut-offs. Lists of significantly DEGs were generated using voom by applying these parameters with the Benjamini-Hochberg procedure to TMM-normalized HT-Seq count data. C. Venn diagram of DEGs significantly up- (red) or down-regulated (blue) over the wound-healing time course. Genes were considered significantly up- or down-regulated if they met p ≤ 0.01 and |LFC| ≥ 2 significance cut-offs. Lists of significantly DEGs were generated using voom by applying these parameters with the Benjamini-Hochberg procedure to TMM-normalized HT-Seq count data. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedFeb 2023View details →
zenodo32/100

Fig. 5 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 5. Transcript accumulation of genes associated with wound induced ABA biosynthesis and degradation. Transcript accumulation of known and putative genes encoding steps in ABA biosynthesis and degradation, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point. Numbered pathway steps correspond to numbers in the ABA metabolism pathway (Supplemental Fig. 6).

opennotspecifiedFeb 2023View details →
zenodo32/100

Fig. 7 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes

Fig. 7. RT-qPCR validation of select wound-induced genes. Gene expression values for 14 genes from RT-qPCR (ΔΔCq) and RNA-seq (CPM) analyses were normalized to 0 dpw values, then log2-transformed to generate log2 (foldchange) values. Pearson's correlation coefficients were calculated for log2 (foldchange) values from the two experimental procedures, with α = 0.05 (Supplemental Table 9). The 95% confidence interval was calculated and plotted as 95% confidence bands.

opennotspecifiedFeb 2023View details →
zenodo32/100

Transcriptome profiling associated with CARD11 overexpres-sion in Colorectal Cancer implicates a potential role for Tumour Immune Microenvironment and Cancer pathways modulation via NF-κB

<p>tables for CARD11</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Transcriptome association studies of neuropsychiatric traits in African Americans implicates PRMT7 in schizophrenia

<p>Genome-wide association study of Schizophrenia and Bipolar Disorder in African Americans 2019</p>

opencc-by-4.0Jul 2019View details →
zenodo32/100

Transcriptome profiling associated with CARD11 overexpres-sion in Colorectal Cancer implicates a potential role for Tumour Immune Microenvironment and Cancer pathways modulation via NF-κB

<p>Images for CARD11 study in IJMS</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Liver transcriptome analysis reveals PSC-attributed gene set associated with fibrosis progression

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record