Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Single-cell transcriptional landscape of human embryonic limb development - Mouse


ABSTRACT: To investigate into the evolutionary conversation of the single-cell transcriptome of human fetal limbs, especially the principles of forelimb and hindlimb specification and proximal-distal axis establishment, we collected the forelimbs and hindlimbs of mouse embryos matching human samples. We dissected the limbs to separate proximal, middle and distal parts and generated single-cell RNA-seq data of more than 70,000 cells. Combining this dataset with our human data, we are able to see highly conserved limb cell types and limb axis drivers. Several samples from already published studies GSM4227224, GSM4227225, GSM4227226, GSM4227227 (GSE142425) and GSM4498677, GSM4498678 (GSE149368) have been reused in data analyses and the corresponding processed data are also included with this submission.

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Mus musculus

SUBMITTER: Sarah Teichmann 

PROVIDER: E-MTAB-10514 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


Human limbs emerge during the fourth post-conception week as mesenchymal buds, which develop into fully formed limbs over the subsequent months<sup>1</sup>. This process is orchestrated by numerous temporally and spatially restricted gene expression programmes, making congenital alterations in phenotype common<sup>2</sup>. Decades of work with model organisms have defined the fundamental mechanisms underlying vertebrate limb development, but an in-depth characterization of this process in humans  ...[more]

Similar Datasets

2022-06-22 | GSE179158 | GEO
2014-01-21 | E-GEOD-47644 | biostudies-arrayexpress
2022-04-15 | E-MTAB-8813 | biostudies-arrayexpress
2017-01-10 | GSE93303 | GEO
2024-07-22 | GSE272731 | GEO
2014-01-21 | GSE47644 | GEO
2022-01-30 | GSE184948 | GEO
2022-01-27 | E-MTAB-11278 | biostudies-arrayexpress
2015-05-08 | E-GEOD-66377 | biostudies-arrayexpress
2018-09-25 | GSE51374 | GEO