Evidence map›Paper›PMID 35696584›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

SpyChIP identifies cell type-specific transcription factor occupancy from complex tissues.

Siqian Feng, Richard S Mann

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. FETCH enables fluorescent labeling of membrane proteins in vivo with spatiotemporal control inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

2 authors.

Siqian FengDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10027.ORCID 0000-0003-0650-9134
Richard S MannDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10027.ORCID 0000-0002-4749-2765

Funding

Interpreting and Deploying Genomic Information During Animal DevelopmentR35GM118336 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RICHARD S MANN · 2016 to 2026
$6.9M
NIGMS NIH HHS R35 GM118336
6 · The paper itself

Abstract

Chromatin immunoprecipitation (ChIP) is an important technique for characterizing protein-DNA binding in vivo. One drawback of ChIP-based techniques is the lack of cell type-specificity when profiling complex tissues. To overcome this limitation, we developed SpyChIP to identify cell type-specific transcription factor (TF) binding sites in native physiological contexts without tissue dissociation or nuclei sorting. SpyChIP takes advantage of a specific covalent isopeptide bond that rapidly forms between the 15-amino acid SpyTag and the 17-kDa protein SpyCatcher. In SpyChIP, the target TF is fused with SpyTag by genome engineering, and an epitope tagged SpyCatcher is expressed in cell populations of interest, where it covalently binds to SpyTag-TF. Cell type-specific ChIP is obtained by immunoprecipitating chromatin prepared from whole tissues using antibodies directed against the epitope-tagged SpyCatcher. Using SpyChIP, we identified the genome-wide binding profiles of the Hox protein Ultrabithorax (Ubx) in two distinct cell types of the

Indexed as

Chromatin Immunoprecipitation SequencingDrosophila melanogasterDrosophila ProteinsHomeodomain ProteinsTranscription FactorsAnimalsBinding SitesChromatinDNAEpitopesProtein BindingChromatinDNADrosophila ProteinsEpitopesHomeodomain ProteinsTranscription FactorsUbx protein, DrosophilaChIPDrosophilaSpyTagtranscription factorUbx

Identifiers

PMID35696584
PMCPMC9231492

What OpenQuestion holds

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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.