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619
datasets available to search
ShareScore release 0.9.0
Dataset results
619 results for “paternity”
Paternal histone H2A variant incorporation and function before and after fertilization in C. elegans [RNA-seq]
GEO Series GSE281060. Caenorhabditis elegans. 30 samples. Type: Expression profiling by high throughput sequencing.
Paternal diet induces transgenerational epigenetic inheritance of DNA methylation signatures and phenotypes in sheep model
GEO Series GSE198935. Ovis aries. 60 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
UPF1 is required for gene expression in mitochondria and for the elimination of paternal mtDNA
GEO Series GSE266138. Drosophila melanogaster. 28 samples. Type: Expression profiling by high throughput sequencing.
Chronic paternal morphine exposure increases sensitivity to morphine-derived antinociception
GEO Series GSE174846. Rattus norvegicus. 12 samples. Type: Expression profiling by high throughput sequencing.
A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [PeWA]
GEO Series GSE280277. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Paternal alcohol exposure leads to differential expression of sperm miRNA and disrupts offspring growth and metabolism
GEO Series GSE303374. Mus musculus. 28 samples. Type: Non-coding RNA profiling by high throughput sequencing.
A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [IVF_Smart-seq]
GEO Series GSE280276. Mus musculus. 92 samples. Type: Expression profiling by high throughput sequencing.
Effect of Advanced Paternal Age on Copy Number Variation in Offspring
GEO Series GSE29456. Mus musculus. 49 samples. Type: Genome variation profiling by genome tiling array.
A paternal cardiac lesion induces cardiac adaptation in the offspring
GEO Series GSE254827. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [F0_Liv_eWAT_Sperm_Small_RNAseq]
GEO Series GSE283330. Mus musculus. 54 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Effect of paternal chronic stress on zebrafish progeny gene expression.
GEO Series GSE224132. Danio rerio. 8 samples. Type: Expression profiling by high throughput sequencing.
Paternal exposure to methylphenidate induces ADHD-like behavioral phenotypes and altered gene expressions in mouse offspring.
GEO Series GSE211982. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [Fm_eWAT_RNAseq]
GEO Series GSE280275. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
A paternal cardiac lesion induces cardiac adaptation in offspring_dataset 2
<p><strong><span>Metadata<span> </span></span></strong></p> <p><strong><span>A paternal cardiac lesion induces cardiac adaptation in offspring</span></strong></p> <p><span>Benedetta<sup> </sup>Coppe<sup>1,2</sup>, María Galardi-Castilla<sup>3</sup>, Andrés Sanz-Morejón<sup>1,3</sup>, Prateek Arora <sup>1,2</sup>, Javier Lucas<sup>4</sup>, Casie Iciek<sup>1</sup>, Laura Lalaguna<sup>3</sup>, Enrique Lara-Pezzi<sup>3</sup>, Ignacio Flores<sup>4</sup>, Nadia Mercader<sup>1,2,3</sup></span></p> <p><span> </span></p> <table> <tbody> <tr> <td> <p><strong><span>Name Folder </span></strong></p> </td> <td> <p><strong><span>Explanation Folder</span></strong></p> </td> <td> <p><strong><span>Files in Folder</span></strong></p> </td> <td> <p><strong><span>Explanation Files in Folder</span></strong></p> </td> </tr> <tr> <td> <p><strong><span>liver</span></strong></p> </td> <td> <p><span>Refers to Panels D, D’ and D’’</span></p> </td> <td> <p><span>Raw_annotated images</span></p> </td> <td> <p><span>.czi files and annotation of extramedullary hematopoietic <span> </span>(EMH) loci</span></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><span>Rois_area</span></p> </td> <td> <p><span>Regions of interest (ROI) of liver area used for normalization</span></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><span>Tiff_liver_area</span></p> </td> <td> <p><span>Exported TIFF ROI from .czi files</span></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><span>Liver_EMH_quantification</span></p> </td> <td> <p><span>Table showing quantifications of EMH and area</span></p> </td> </tr> <tr> <td> <p><strong><span>ORO_heart</span></strong></p> </td> <td> <p><span>Refers to Panels I, I’ and I’’</span></p> </td> <td> <p><span>raw</span></p> </td> <td> <p><span>.czi files of cardiac sections stained with Oil Red O</span></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><span>tiff_files</span></p> </td> <td> <p><span>Exported TIFF files from .czi</span></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><span>ORO_EAT_Area_quantification</span></p> </td> <td> <p><span>Table showing quantifications of CM</span></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><span>RoiSet.zip</span></p> </td> <td> <p><span>Regions of interest (ROI) of epicardial adipose tissue</span></p> </td> </tr> </tbody> </table>
A paternal cardiac lesion induces cardiac adaptation in offspring_dataset 1
<p><strong>Metadata </strong></p> <p><strong>A paternal cardiac lesion induces cardiac adaptation in offspring</strong></p> <p>Benedetta<sup> </sup>Coppe<sup>1,2</sup>, María Galardi-Castilla<sup>3</sup>, Andrés Sanz-Morejón<sup>1,3</sup>, Prateek Arora <sup>1,2</sup>, Javier Lucas<sup>4</sup>, Casie Iciek<sup>1</sup>, Laura Lalaguna<sup>3</sup>, Enrique Lara-Pezzi<sup>3</sup>, Ignacio Flores<sup>4</sup>, Nadia Mercader<sup>1,2,3</sup></p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Name File</strong></p> </td> <td> <p><strong>Content and Explanation</strong></p> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Data_plot_figure_letter</p> </td> <td> <p>.xlsx File containing in different sheets the data points of graphs B,C,D’,D’’,E-E’’,F’-F’’’’, G’-G’’’’, H’,J’, I’,I’’, K’, L-L’’ as well as over view of all experimental animals</p> </td> <td> </td> <td> </td> </tr> <tr> <td> <p> Summary_echos</p> </td> <td> <p>.xlsx Table showing results of cardiac morphology and function</p> <p>Refers to F’-F’’’’, G’-G’’’’, K’, L’,L’’. Imaging files can be made available upon request.</p> </td> <td> </td> <td> </td> </tr> <tr> <td> <p><strong>Name Folder </strong></p> </td> <td> <p><strong>Explanation Folder</strong></p> </td> <td> <p><strong>Files in Folder</strong></p> </td> <td> <p><strong>Explanation Files in Folder</strong></p> </td> </tr> <tr> <td> <p><strong>graphpad</strong></p> </td> <td> <p>Contains graphpad .prism files of all quantifications shown in the Figure</p> </td> <td> </td> <td> </td> </tr> <tr> <td> <p><strong>Cardiomyocytes</strong></p> </td> <td> <p>Refers to Panels H and H’</p> </td> <td> <p>Raw_annotations</p> </td> <td> <p>.ndpi and .ndpis and ndpa files of immunostainings of cardiomyocytes (CMs)</p> </td> </tr> <tr> <td> <p><strong> </strong></p> </td> <td> <p> </p> </td> <td> <p>Longitudinal_CMs_quantification</p> </td> <td> <p>Table showing quantifications of CM longitudinal lenght</p> </td> </tr> <tr> <td> <p><strong>qPCR_heart</strong></p> </td> <td> <p>Refers to J’</p> </td> <td> <p>7 Excel tables with raw data of individual runs as well as quantification plus .eds file</p> </td> <td> <p>7 Excel tables with raw data of individual runs as well as quantification</p> </td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p>
Paternal over- and under-nutrition program fetal and placental development in a sex-specific manner
GEO Series GSE301011. Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.
Dads matter, too: The behavioural and neurogenomic effects of receiving paternal care [ATAC-Seq]
GEO Series GSE305284. Gasterosteus aculeatus. 31 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Dads matter, too: The behavioural and neurogenomic effects of receiving paternal care
GEO Series GSE305202. Gasterosteus aculeatus. 242 samples. Type: Expression profiling by high throughput sequencing.
Placental transcriptomic pattern of murine advanced paternal age model of autism
GEO Series GSE71322. Mus musculus. 6 samples. Type: Expression profiling by array.
Sperm transcriptional state associated with paternal transmission of stress phenotypes
GEO Series GSE174780. Mus musculus. 58 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.