Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
Julie A Schneider,
David A. Bennett,
Philip L. De Jager,
Elizabeth M Bradshaw,
Posted 04 Mar 2019
bioRxiv DOI: 10.1101/566307
Posted 04 Mar 2019
Complexity of cell-type composition has created much skepticism surrounding the interpretation of brain bulk-tissue transcriptomic studies. We generated paired tissue genome-wide gene expression data and immunohistochemistry data, enabling us to assess statistical methods for modeling and estimating cellular heterogeneity in the brain. We demonstrate that several algorithms that rely on single-cell and cell-sorted data to define cell marker gene sets yield accurate relative and absolute estimates of constituent cell-type proportions.
- Downloaded 963 times
- Download rankings, all-time:
- Site-wide: 13,013 out of 94,912
- In neuroscience: 2,055 out of 16,862
- Year to date:
- Site-wide: 11,149 out of 94,912
- Since beginning of last month:
- Site-wide: 15,074 out of 94,912
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!