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346
datasets available to search
ShareScore release 0.9.0
Dataset results
346 results for “functional integration”
Structural Basis for Cytoplasmic Factors Required for Integrator and CPSF Function
GEO Series GSE246833. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
β-catenin and Hoxa9 preserve DNA replication dynamics, genomic integrity and stem cell functionality in a Prmt1-dependent manner [RNA-seq dKO_HSPCs]
GEO Series GSE235817. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Integrated Chromatin Accessibility Mapping and Expression Profiling Enables Functional Annotation of Kidney GWAS Loci
GEO Series GSE115961. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Pharmacological activation of the Integrated Stress Response triggers a transcriptional program centered on ribosome biogenesis and function in honey bees
GEO Series GSE165411. Apis mellifera. 6 samples. Type: Expression profiling by high throughput sequencing.
THE INTEGRATIVE GENOMIC AND FUNCTIONAL IMMUNOLOGICAL ANALYSES OF COLORECTAL CANCER INITIATING CELLS TO MODULATE STEMNESS PROPERTIES AND THE SUSCEPTIBILIY TO IMMUNE RESPONSES [RNA-seq]
GEO Series GSE288874. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing.
Integral roles for Rev-erb alpha and Rev-erb beta in the circadian clock function [ChIP_seq]
GEO Series GSE34019. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A Bipartate function of ESRRB integrates signaling over time to balance self-renewal and differentiation [scRNA-Seq]
GEO Series GSE207564. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Integrating Large-Scale Functional Genomic Data to Dissect the Complexity of Yeast Regulatory Networks
GEO Series GSE11111. Saccharomyces cerevisiae. 9 samples. Type: Expression profiling by array.
Distinct and shared functions of ALS-associated TDP-43, FUS, and TAF15 revealed by comprehensive multi-system integrative analyses [RNA-Seq_mouse]
GEO Series GSE77703. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
The impact of aging on beta-cell functionality and structural integrity under metabolic stress conditions in diabetes-prone and diabetes-resistant mice.
GEO Series GSE150281. Mus musculus. 40 samples. Type: Expression profiling by array.
Phospholipid flippase ATP11A brokers uterine epithelial integrity and function
GEO Series GSE278900. Mus musculus. 46 samples. Type: Expression profiling by high throughput sequencing.
Essential function of the integrator complex in Kaposi's sarcoma-associated herpesvirus lytic replication
GEO Series GSE300543. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
A Bipartate function of ESRRB integrates signaling over time to balance self-renewal and differentiation [ChIP-Seq]
GEO Series GSE207562. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
THE INTEGRATIVE GENOMIC AND FUNCTIONAL IMMUNOLOGICAL ANALYSES OF COLORECTAL CANCER INITIATING CELLS TO MODULATE STEMNESS PROPERTIES AND THE SUSCEPTIBILIY TO IMMUNE RESPONSES [miRNA]
GEO Series GSE287585. Homo sapiens. 23 samples. Type: Non-coding RNA profiling by array.
The Class VIII myosin ATM1 is integral for root apical meristem function
GEO Series GSE200917. Arabidopsis thaliana. 18 samples. Type: Expression profiling by high throughput sequencing.
An integrated toolkit for human microglia functional genomics
GEO Series GSE244653. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Data from: Integrated analysis and visualization of group differences in structural and functional brain connectivity: applications in typical ageing and schizophrenia
Structural and functional brain connectivity are increasingly used to identify and analyze group differences in studies of brain disease. This study presents methods to analyze uni- and bi-modal brain connectivity and evaluate their ability to identify differences. Novel visualizations of significantly different connections comparing multiple metrics are presented. On the global level, "bi-modal comparison plots" show the distribution of uni- and bi-modal group differences and the relationship between structure and function. Differences between brain lobes are visualized using "worm plots". Group differences in connections are examined with an existing visualization, the "connectogram". These visualizations were evaluated in two proof-of-concept studies: (1) middle-aged versus elderly subjects; and (2) patients with schizophrenia versus controls. Each included two measures derived from diffusion weighted images and two from functional magnetic resonance images. The structural measures were minimum cost path between two anatomical regions according to the "Statistical Analysis of Minimum cost path based Structural Connectivity" method and the average fractional anisotropy along the fiber. The functional measures were Pearson's correlation and partial correlation of mean regional time series. The relationship between structure and function was similar in both studies. Uni-modal group differences varied greatly between connectivity types. Group differences were identified in both studies globally, within brain lobes and between regions. In the aging study, minimum cost path was highly effective in identifying group differences on all levels; fractional anisotropy and mean correlation showed smaller differences on the brain lobe and regional levels. In the schizophrenia study, minimum cost path and fractional anisotropy showed differences on the global level and within brain lobes; mean correlation showed small differences on the lobe level. Only fractional anisotropy and mean correlation showed regional differences. The presented visualizations were helpful in comparing and evaluating connectivity measures on multiple levels in both studies.
Figure 8a from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750
Figure 8a Budget Breakdown per WP, and Budget Breakdown per country. - Budget Breakdown per WP.
Figure 8b from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750
Figure 8b Budget Breakdown per WP, and Budget Breakdown per country. - Budget Breakdown per country
Figure 7 from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750
Figure 7 DRYvER geographical coverage.
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.