Single cell transcriptomics of the cerebral cortex of mice lacking the PRC2 gene eed

Here we provide snRNA-seq data from the cortical plate of an adult heterozygous conditional Eed knockout, an adult homozygous conditional Eed knockout and an adult control mouse. This data provides insight on how loss of PRC2 function during development affects cell identity in the mature cortex.

Authors

Institutions

Publication Details

Journal
BMC Research Notes
Published
2024-12-24
DOI
https://doi.org/10.1186/s13104-024-07008-y
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single cell transcriptomics of the cerebral cortex of mice lacking the PRC2 gene eed

Michael Piper, Lachlan Harris, Laura Currey
BMC Research Notes
Single-cell and spatial transcriptomics
article

Single cell transcriptomics of the cerebral cortex of mice lacking the PRC2 gene eed

Michael Piper, Lachlan Harris, Laura Currey
article en

Abstract

Here we provide snRNA-seq data from the cortical plate of an adult heterozygous conditional Eed knockout, an adult homozygous conditional Eed knockout and an adult control mouse. This data provides insight on how loss of PRC2 function during development affects cell identity in the mature cortex.

BMC Research NotesVol. 17(1)
The University of Queensland (AU), QIMR Berghofer Medical Research Institute (AU)
Australian Research Council, Queensland Brain Institute
Zero hunger
Openalex Percentile: Top 79%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.