Evidence map›Paper›PMID 38684783›Full record

ArticleNature methods2024

Post-translational modification-centric base editor screens to assess phosphorylation site functionality in high throughput.

Patrick H Kennedy, Amin Alborzian Deh Sheikh, Matthew Balakar, Alexander C Jones, Meagan E Olive, Mudra Hegde, Maria I Matias, Natan Pirete, Rajan Burt, Jonathan Levy and 10 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.Angewandte Chemie (International ed. in English) · 2026
    Review
  5. Review
  6. Article
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  9. Article
  10. Review
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  15. Article
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  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Patrick H KennedyLaboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA.
Amin Alborzian Deh SheikhLaboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA.
Matthew BalakarBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Alexander C JonesDepartment of Pharmacology, University of California San Diego, San Diego, CA, USA.
Meagan E OliveBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Mudra HegdeBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Maria I MatiasLaboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA.
Natan PireteBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Rajan BurtBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Jonathan LevyMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Tamia LittleLaboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA.
Patrick G HoganDivision of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA.
David R LiuMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
John G DoenchBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Alexandra C NewtonDepartment of Pharmacology, University of California San Diego, San Diego, CA, USA.
Rachel A GottschalkDepartment of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Carl G de BoerSchool of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
Suzie AlarcónLa Jolla Institute for Immunology, La Jolla, CA, USA.
Gregory A NewbyMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Samuel A MyersLaboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA. sam@lji.org.

Funding

Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
GRADUATE TRAINING IN CELLULAR &MOLECULAR PHARMACOLOGYT32GM007752 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROWN, JOAN HELLER, HANDEL, TRACY M · 1985 to 2023
$13.5M
SIGNAL TRANSDUCTION AND GENE INDUCTION IN T LYMPHOCYTESR01AI040127 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI HOGAN, PATRICK, RAO, ANJANA · 1996 to 2025
$13.3M
NFAT, bZIP proteins, and transcriptional programs in lymphocytesR01AI109842 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Patrick Hogan, Anjana Rao · 2014 to 2026
$8.6M
Molecular Mechanisms of Cell SignalingR35GM122523 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALEXANDRA C. NEWTON · 2017 to 2026
$6.7M
Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel TherapeuticsR35GM118062 · NIGMS · HARVARD UNIVERSITY · PI LIU, DAVID R · 2016 to 2025
$6.4M
Elucidating the signaling and protein interaction networks of the O-GlcNAc transferase during embryonic stem cell state transitionsR35GM147554 · NIGMS · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Samuel Anthony Myers · 2022 to 2026
$2.4M
Expanding the Scope of Base EditingU01AI142756 · NIAID · BROAD INSTITUTE, INC. · PI LIU, DAVID R · 2018 to 2022
$2.1M
Proteome-wide base editor screens to assess phosphorylation site functionality in immunosenescenceR01CA279795 · NCI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Samuel Anthony Myers · 2024 to 2026
$1.7M
NovaSeq5000 High Throughput SequencerS10OD025052 · OD · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI SEUMOIS, GREGORY · 2018 to 2018
$832k
FACSAria II Cell SorterS10RR027366 · NCRR · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI CROFT, MICHAEL · 2011 to 2011
$514k
Linking specific phosphorylation events to distinct transcriptional statesR21TR005029 · NCATS · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI GOTTSCHALK, RACHEL A, MYERS, SAM ANTHONY · 2024 to 2024
$510k
Howard Hughes Medical InstituteNCATS NIH HHS R21 TR005029NCI NIH HHS R01 CA279795NCRR NIH HHS S10 RR027366NHGRI NIH HHS RM1 HG009490NIAID NIH HHS R01 AI040127NIAID NIH HHS R01 AI109842NIAID NIH HHS R56 AI109842NIAID NIH HHS U01 AI142756NIGMS NIH HHS R35 GM118062NIGMS NIH HHS R35 GM122523NIGMS NIH HHS R35 GM147554NIGMS NIH HHS T32 GM007752NIH HHS S10 OD025052
6 · The paper itself

Abstract

Signaling pathways that drive gene expression are typically depicted as having a dozen or so landmark phosphorylation and transcriptional events. In reality, thousands of dynamic post-translational modifications (PTMs) orchestrate nearly every cellular function, and we lack technologies to find causal links between these vast biochemical pathways and genetic circuits at scale. Here we describe the high-throughput, functional assessment of phosphorylation sites through the development of PTM-centric base editing coupled to phenotypic screens, directed by temporally resolved phosphoproteomics. Using T cell activation as a model, we observe hundreds of unstudied phosphorylation sites that modulate NFAT transcriptional activity. We identify the phosphorylation-mediated nuclear localization of PHLPP1, which promotes NFAT but inhibits NFκB activity. We also find that specific phosphosite mutants can alter gene expression in subtle yet distinct patterns, demonstrating the potential for fine-tuning transcriptional responses. Overall, base editor screening of PTM sites provides a powerful platform to dissect PTM function within signaling pathways.

Indexed as

Protein Processing, Post-TranslationalHEK293 CellsHigh-Throughput Screening AssaysHumansJurkat CellsNFATC Transcription FactorsNF-kappa BPhosphorylationProteomicsSignal TransductionT-LymphocytesNFATC Transcription FactorsNF-kappa B

Identifiers

PMID38684783
PMCPMC11804830

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.