Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

EGAS00001002553-sc-20180820 - samples

ABSTRACT: As part of the Human Cell Atlas we will study fetal tissue. . This dataset contains all the data available for this study on 2018-08-20.

PROVIDER: EGAD00001004305 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

EGAS00001002325-sc-20180820 - samples

Project description:We intend to use single cell transcriptome analysis to explore the heterogenity of different cell types within the kidney. . This dataset contains all the data available for this study on 2018-08-20.

| EGAD00001004304 | EGA

EGAS00001000869-sc-20180813 - samples

Project description:Targeted capture of cancer gene panel bait set in single cell derived organoids from colon tissue and colorectal cancer from 1 patient. . This dataset contains all the data available for this study on 2018-08-13.

| EGAD00001004292 | EGA

EGAS00001000985-sc-20150805 - samples

Project description:Transcriptome sequencing of tumour tissue, adjacent normal tissue and derived organoids/tumoroids from colorectal cancer. This dataset contains all the data available for this study on 2015-08-05.

| EGAD00001001459 | EGA

EGAS00001001114-sc-20180813 - samples

Project description:Whole-exome sequencing of a cohort of families (probands and affected/unaffected relatives) suffering from one of two rare thyroid disorders: congenital hypothyroidism (CH) and resistance to thyroid hormone (RTH). . This dataset contains all the data available for this study on 2018-08-13.

| EGAD00001004293 | EGA

A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung [SC]

Project description:The lung contains numerous specialized cell-types with distinct roles in tissue function and integrity. To clarify the origins and mechanisms generating cell heterogeneity, we created a comprehensive topographic atlas of early human lung development. Here, we report 83 cell states, several spatially-resolved developmental trajectories and predict cell interactions within defined tissue niches. We integrated scRNA-Seq and spatially resolved transcriptomics into a web-based, open platform for interactive exploration. We show distinct gene expression programs, accompanying sequential events of cell differentiation and maturation of the secretory and neuroendocrine cell-types in proximal epithelium. We define the origin of airway fibroblasts associated with airway smooth muscle in bronchovascular bundles and describe a trajectory of Schwann cell progenitors to intrinsic parasympathetic neurons controlling bronchoconstriction. Our atlas provides a rich resource for further research and a reference for defining deviations from homeostatic and repair mechanisms leading to pulmonary diseases.

2023-01-17 | GSE215895 | GEO

Pilot Fetal Cell Atlas RNAseq

Project description:As part of the Human Cell Atlas we will study fetal tissue.

| EGAS00001002553 | EGA

EGAS00001002347-sc-20180803 - samples

Project description:In this project we have sequenced the exome of skin moles (melanocytic naevi) and also normal skin from young and old people. We are interested in looking at the clonality of these lesions and the burden of UV mutations . This dataset contains all the data available for this study on 2018-08-03.

| EGAD00001004273 | EGA

Relevance of temozolomide for elderly patients with MGMT promoter-methylated malignant astrocytomas outside the RTK I methylation group

Project description:The data contains Illumina 450k/EPIC array methylation files from 104 patients of the NOA-08 study comparing temozolomide alone vs. radiotherapy in elderly patients with glioblastoma

2019-10-31 | GSE122920 | GEO

A multi-tissue atlas of regulatory variants in cattle

Project description:Genotype?Tissue Expression atlas of cattle using 7,180 publicly available RNA-sequencing (RNA-seq) samples

2023-02-10 | PRJEB59574 | EVA

The amniotic fluid transcriptome: a source of novel information about human fetal development

Project description:Amniotic fluid (AF) is a complex biological material that provides a unique window into the developing human. Residual AF supernatant contains cell-free fetal RNA. The objective of this study was to develop an understanding of the AF core transcriptome by identifying the transcripts ubiquitously present in the AF supernatant of euploid midtrimester fetuses. We detected 476 well-annotated genes present in all twelve AF samples. Functional analysis identified 6 physiological systems represented in the AF core transcriptome, including musculoskeletal and nervous system development and function and embryonic/ organismal development. mTOR signaling was identified as a key canonical pathway. Twenty-three highly organ-specific transcripts were identified; six of these are known to be highly expressed by fetal brain. This study demonstrates that AF cell-free fetal RNA can provide biological information about multiple fetal organ systems. This was an in silico investigation of gene expression in 12 euploid midtrimester AF samples acquired primarily for advanced maternal age. We focused on the transcripts called M-bM-^@M-^\presentM-bM-^@M-^] in all of the samples. Functional analyses were performed using Ingenuity software. Fetal-organ specificity was examined for each transcript using the GNF Gene Expression Atlas. For fetal organs not represented in the atlas, manual literature searching and Ingenuity analysis were used.

2012-01-11 | E-GEOD-33168 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data