Evidence map›Paper›PMID 38014346›Full record

ArticlebioRxiv : the preprint server for biology2023

Proteome-wide 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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 2 countries.

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
Tamia Little
Patrick G Hogan
David R Liu
John G Doench
Alexandra C Newton
Rachel A Gottschalk
Carl de Boer
Suzie Alarcón
Gregory Newby
Samuel A Myers
Broad Institute · USLa Jolla Institute for Immunology · USUniversity of California San Diego · USUniversity of British Columbia · CAUniversity of Pittsburgh · US

Funding

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
NIGMS NIH HHS R35 GM147554
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 "signaling-to-transcription network" mapping 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 the phosphatase 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.

Identifiers

PMID38014346
PMCPMC10680671
OpenAlexW4388680084

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.