Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 70,836 bioRxiv papers from 309,131 authors.
Single-cell analysis of human retina identifies evolutionarily conserved and species-specific mechanisms controlling development.
Joel D. Pearson,
Genevieve L. Stein-O’Brien,
Thomas D Sherman,
Elana J. Fertig,
Loyal A. Goff,
Donald J. Zack,
James T. Handa,
Brian S. Clark
Posted 02 Oct 2019
bioRxiv DOI: 10.1101/779694
Posted 02 Oct 2019
The advent of single-cell RNA-sequencing (scRNA-seq) has enabled high resolution studies of cell type diversity and transcriptional networks governing cell fate specification. In order to examine 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 use 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 highlight both shared and unique gene usage during human and mouse retinal development. Finally, we identify an unexpected role for ATOH7 expression in regulation of photoreceptor specification during late retinogenesis. Together, these studies present a comprehensive atlas of gene expression during human retinal development; information vital for the modeling of both human retinal development and disease.
- Downloaded 1,136 times
- Download rankings, all-time:
- Site-wide: 6,750 out of 70,836
- In neuroscience: 1,076 out of 12,739
- Year to date:
- Site-wide: 1,166 out of 70,836
- Since beginning of last month:
- Site-wide: 879 out of 70,836
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!