Evidence map›Paper›PMID 34592423›Full record

ArticleMolecular & cellular proteomics : MCP2021

Automating UbiFast for High-throughput and Multiplexed Ubiquitin Enrichment.

Keith D Rivera, Meagan E Olive, Erik J Bergstrom, Alissa J Nelson, Kimberly A Lee, Shankha Satpathy, Steven A Carr, Namrata D Udeshi

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. The Ubiquitin Tale: Current Strategies and Future Challenges.ACS pharmacology & translational science · 2024
    Review
  8. Article
  9. Proteomic approaches to study ubiquitinomics.Biochimica et biophysica acta. Gene regulatory mechanisms · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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

8 authors.

Keith D RiveraBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Meagan E OliveBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Erik J BergstromBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Alissa J NelsonCell Signaling Technology, Danvers, Massachusetts, USA.
Kimberly A LeeCell Signaling Technology, Danvers, Massachusetts, USA.
Shankha SatpathyBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Steven A CarrBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. Electronic address: scarr@broad.mit.edu.
Namrata D UdeshiBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. Electronic address: udeshi@broadinstitute.org.

Funding

MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALSU01CA214125 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ANURAG, MEENAKSHI, CARR, STEVEN A · 2017 to 2021
$7.0M
Center of Excellence for High Throughput Proteogenomic CharacterizationU24CA210986 · NCI · BROAD INSTITUTE, INC. · PI CARR, STEVEN A, GILLETTE, MICHAEL A · 2016 to 2020
$6.4M
Integrated high throughput proteogenomic data analysis center for CPTACU24CA210979 · NCI · BROAD INSTITUTE, INC. · PI BIRGER, CHET, GETZ, GAD A · 2016 to 2020
$4.4M
NCI NIH HHS U01 CA214125NCI NIH HHS U24 CA210979NCI NIH HHS U24 CA210986
6 · The paper itself

Abstract

Robust methods for deep-scale enrichment and site-specific identification of ubiquitylation sites are necessary for characterizing the myriad roles of protein ubiquitylation. To this end we previously developed UbiFast, a sensitive method for highly multiplexed ubiquitylation profiling where K-ϵ-GG peptides are enriched with anti-K-ε-GG antibody and labeled on-antibody with isobaric labeling reagents for sample multiplexing. Here, we present robotic automation of the UbiFast method using a magnetic bead-conjugated K-ε-GG antibody (mK-ε-GG) and a magnetic particle processor. We report the identification of ∼20,000 ubiquitylation sites from a TMT10-plex with 500 μg input per sample processed in ∼2 h. Automation of the UbiFast method greatly increased the number of identified and quantified ubiquitylation sites, improved reproducibility, and significantly reduced processing time. The automated method also significantly reduced variability across process replicates compared with the manual method. The workflow enables processing of up to 96 samples in a single day making it suitable to study ubiquitylation in large sample sets. Here we demonstrate the applicability of the method to profile small amounts of tissue using breast cancer patient-derived xenograft (PDX) tissue samples.

Indexed as

AnimalsAntibodiesAutomationFemaleHigh-Throughput Screening AssaysHumansJurkat CellsMagnetic PhenomenaMammary Neoplasms, ExperimentalMass SpectrometryMicePeptidesProteomicsSepharoseUbiquitinUbiquitinated ProteinsAntibodiesPeptidesSepharoseUbiquitinUbiquitinated Proteinsautomationubiquitin

Identifiers

PMID34592423
PMCPMC9357436

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.