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Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.

Updated August 30, 2022

The authors captured 301 single cells from 11 populations using microfluidics and analyzing single-cell transcriptomes across downsampled sequencing depths. They demonstrate that shallow single-cell mRNA sequencing (∼50,000 reads per cell) is sufficient for unbiased cell-type classification and biomarker identification in the developing cortex.

Arnold R KriegsteinUniversity of California, San Franciscoarnold.kriegstein@ucsf.edu
Alex A Pollen1
Tomasz J Nowakowski1
Joe Shuga2
Xiaohui Wang2
Anne A Leyrat2
Jan H Lui1
Nianzhen Li2
Lukasz Szpankowski2
Brian Fowler2
Peilin Chen2
Naveen Ramalingam2
Gang Sun2
Myo Thu2
Michael Norris2
Ronald Lebofsky2
Dominique Toppani2
Darnell W Kemp II2
Michael Wong2
Barry Clerkson2
Brittnee N Jones2
Shiquan Wu2
Lawrence Knutsson2
Beatriz Alvarado2
Jing Wang2
Lesley S Weaver2
Andrew P May2
Robert C Jones2
Marc A Unger2
Arnold R Kriegstein1
Jay AA West2
1University of California, San Francisco
2Fluidigm Corporation
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/45c2c853-d06f-4879-957e-f1366fb5d423
None
INSDC Project Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

DevelopingCerebralCortex

Species

Homo sapiens

Sample Type

2 sample types

Anatomical Entity

2 anatomical entities

Organ Part

neocortex

Selected Cell Types

Unspecified

Model Organ

embryo

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

2 development stages

Library Construction Method

Fluidigm C1-based library preparation

Nucleic Acid Source

single cell

Paired End

true

Analysis Protocol

analysis_protocol

File Format

3 file formats

Cell Count Estimate

301

Donor Count

43
fastq.gz356 file(s)txt1 file(s)xlsx1 file(s)