Evidence map›Paper›PMID 27274053›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

A scalable strategy for high-throughput GFP tagging of endogenous human proteins.

Manuel D Leonetti, Sayaka Sekine, Daichi Kamiyama, Jonathan S Weissman, Bo Huang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

155 citing papers in PubMed.

  1. Article
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  5. CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026
    Review
  6. Article
  7. Article
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  10. Review
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  15. WormTagDB: A Systematic Survey of Endogenously Tagged Proteins inbioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Manuel D LeonettiDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94143; Howard Hughes Medical Institute, University of California, San Francisco, CA 94143;
Sayaka SekineDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143.
Daichi KamiyamaDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143 daichi.kamiyama@ucsf.edu jonathan.weissman@ucsf.edu bo.huang@ucsf.edu.
Jonathan S WeissmanDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94143; Howard Hughes Medical Institute, University of California, San Francisco, CA 94143; daichi.kamiyama@ucsf.edu jonathan.weissman@ucsf.edu bo.huang@ucsf.edu.
Bo HuangDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143 daichi.kamiyama@ucsf.edu jonathan.weissman@ucsf.edu bo.huang@ucsf.edu.

Funding

Solving macromolecular complex architecture in situ by super-resolution microscopDP2OD008479 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, BO · 2011 to 2011
$2.3M
The Role of Dscam Dock and Cdc42 Effectors in Prosophilia Neuron DendritogenesisR21MH101688 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, BO, KAMIYAMA, DAICHI · 2014 to 2015
$434k
NIH HHS DP2 OD008479NIMH NIH HHS R21 MH101688
6 · The paper itself

Abstract

A central challenge of the postgenomic era is to comprehensively characterize the cellular role of the ∼20,000 proteins encoded in the human genome. To systematically study protein function in a native cellular background, libraries of human cell lines expressing proteins tagged with a functional sequence at their endogenous loci would be very valuable. Here, using electroporation of Cas9 nuclease/single-guide RNA ribonucleoproteins and taking advantage of a split-GFP system, we describe a scalable method for the robust, scarless, and specific tagging of endogenous human genes with GFP. Our approach requires no molecular cloning and allows a large number of cell lines to be processed in parallel. We demonstrate the scalability of our method by targeting 48 human genes and show that the resulting GFP fluorescence correlates with protein expression levels. We next present how our protocols can be easily adapted for the tagging of a given target with GFP repeats, critically enabling the study of low-abundance proteins. Finally, we show that our GFP tagging approach allows the biochemical isolation of native protein complexes for proteomic studies. Taken together, our results pave the way for the large-scale generation of endogenously tagged human cell lines for the proteome-wide analysis of protein localization and interaction networks in a native cellular context.

Indexed as

ElectroporationGreen Fluorescent ProteinsHEK293 CellsHigh-Throughput Screening AssaysHumansMicroscopy, FluorescenceProteinsGreen Fluorescent ProteinsProteinsCRISPR/Cas9genome engineeringGFP library

Identifiers

PMID27274053
PMCPMC4922190

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.