A proximity biotinylation map of a human cell
By
Christopher D Go,
James D.R. Knight,
Archita Rajasekharan,
Bhavisha Rathod,
Geoffrey G Hesketh,
Kento T Abe,
Ji-Young Youn,
Payman Samavarchi-Tehrani,
Hui Zhang,
Lucie Y Zhu,
Evelyn Popiel,
Jean-Philippe Lambert,
Étienne Coyaud,
Sally W.T. Cheung,
Dushyandi Rajendran,
Cassandra J Wong,
Hana Antonicka,
Laurence Pelletier,
Brian Raught,
Alexander F Palazzo,
Eric A Shoubridge,
Anne-Claude Gingras
Posted 07 Oct 2019
bioRxiv DOI: 10.1101/796391
Compartmentalization is an essential characteristic of eukaryotic cells, ensuring that cellular processes are partitioned to defined subcellular locations. High throughput microscopy and biochemical fractionation coupled with mass spectrometry have helped to define the proteomes of multiple organelles and macromolecular structures. However, many compartments have remained refractory to such methods, partly due to lysis and purification artefacts and poor subcompartment resolution. Recently developed proximity-dependent biotinylation approaches such as BioID and APEX provide an alternative avenue for defining the composition of cellular compartments in living cells. Here we report an extensive BioID-based proximity map of a human cell, comprising 192 markers from 32 different compartments that identifies 35,902 unique high confidence proximity interactions and localizes 4,145 proteins expressed in HEK293 cells. The recall of our localization predictions is on par with or better than previous large-scale mass spectrometry and microscopy approaches, but with higher localization specificity. In addition to assigning compartment and subcompartment localization for many previously unlocalized proteins, our data contain fine- grained localization information that, for example, allowed us to identify proteins with novel roles in mitochondrial dynamics. As a community resource, we have created humancellmap.org, a website that allows exploration of our data in detail, and aids with the analysis of BioID experiments.
Download data
- Downloaded 8,396 times
- Download rankings, all-time:
- Site-wide: 940
- In molecular biology: 14
- Year to date:
- Site-wide: 2,198
- Since beginning of last month:
- Site-wide: 1,751
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 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!