Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA507018: Single-cell analysis of human retina identifies evolutionarily conserved and species-specific mechanisms controlling development

Source: NCBI / GSE122970
Submission Date: Nov 26 2018
Release Date: May 07 2020
Update Date: May 13 2020

Summary: The development of single-cell RNA-Sequencing (scRNA-Seq) has allowed high resolution analysis of cell type diversity and transcriptional networks controlling cell fate specification. To identify the transcriptional networks governing human retinal development, we performed scRNA-Seq over retinal organoid and in vivo retinal development, across 20 timepoints. Using both pseudotemporal and cross-species analyses, we examined the conservation of gene expression across retinal progenitor maturation and specification of all seven major retinal cell types. Furthermore, we examined gene expression differences between developing macula and periphery and between two distinct populations of horizontal cells. We also identify both shared and species-specific patterns of gene expression during human and mouse retinal development. Finally, we identify an unexpected role for ATOH7 expression in regulation of photoreceptor specification during late retinogenesis. These results provide a roadmap to future studies of human retinal development, and may help guide the design of cell-based therapies for treating retinal dystrophies.

Overall Design: More than 45000 single cells from the developing human retina, ranging from gestational weeks (GW)12-27, and postnatal retina on day 8 were analyzed via single cell RNA-sequencing.

GEN Datasets:
GEND000135
Strategy:
Species:
Tissue:
Healthy Condition:
Protocol
Growth Protocol: -
Treatment Protocol: -
Extract Protocol: Fetal retina tissue samples were collected in ice-cold artificial cerebrospinal fluid (ACSF), single cell was selected by FACS
Library Construction Protocol: Single-cell R--seq using 10X genomics platform was performed using Chromiumâ„¢ Single Cell 3' v2 Reagent Kits following the manufacturer's protocol. Libraries were constructed using Chromiumâ„¢ Single Cell 3' v2 Reagent Kits following the manufacturer's protocol Libraries were sequenced on Illumi- HiSeq X Ten platform to obtain 100 and 32-bp paired end reads using the following read length; read 1, 26 cycles, read 2, 98 cycles and i7 index, 8 cycles.
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: Forward
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 4000
Strand-Specific: Specific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
Single-Cell Analysis of Human Retina Identifies Evolutionarily Conserved and Species-Specific Mechanisms Controlling Development.
Developmental cell . 2020-05-07 [PMID: 32386599]