Evidence map›Paper›PMID 35848491›Full record

ArticleJournal of proteome research2022

SimPLIT: Simplified Sample Preparation for Large-Scale Isobaric Tagging Proteomics.

Fernando J Sialana, Theodoros I Roumeliotis, Habib Bouguenina, Laura Chan Wah Hak, Hannah Wang, John Caldwell, Ian Collins, Rajesh Chopra, Jyoti S Choudhary

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Fernando J SialanaFunctional Proteomics Group, The Institute of Cancer Research, Chester Beatty Laboratories, London SW3 6JB, U.K.ORCID 0000-0001-9083-1657
Theodoros I RoumeliotisFunctional Proteomics Group, The Institute of Cancer Research, Chester Beatty Laboratories, London SW3 6JB, U.K.ORCID 0000-0002-3354-5643
Habib BougueninaCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
Laura Chan Wah HakCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
Hannah WangCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
John CaldwellCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
Ian CollinsCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.ORCID 0000-0002-8143-8498
Rajesh ChopraCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
Jyoti S ChoudharyFunctional Proteomics Group, The Institute of Cancer Research, Chester Beatty Laboratories, London SW3 6JB, U.K.
Institute of Cancer Research · GB

Funding

Cancer Research UK 22897Cancer Research UK C309/A25144
6 · The paper itself

Abstract

Large scale proteomic profiling of cell lines can reveal molecular signatures attributed to variable genotypes or induced perturbations, enabling proteogenomic associations and elucidation of pharmacological mechanisms of action. Although isobaric labeling has increased the throughput of proteomic analysis, the commonly used sample preparation workflows often require time-consuming steps and costly consumables, limiting their suitability for large scale studies. Here, we present a simplified and cost-effective one-pot reaction workflow in a 96-well plate format (SimPLIT) that minimizes processing steps and demonstrates improved reproducibility compared to alternative approaches. The workflow is based on a sodium deoxycholate lysis buffer and a single detergent cleanup step after peptide labeling, followed by quick off-line fractionation and MS2 analysis. We showcase the applicability of the workflow in a panel of colorectal cancer cell lines and by performing target discovery for a set of molecular glue degraders in different cell lines, in a 96-sample assay. Using this workflow, we report frequently dysregulated proteins in colorectal cancer cells and uncover cell-dependent protein degradation profiles of seven cereblon E3 ligase modulators (CRL4

Indexed as

Colorectal NeoplasmsProteomicsHumansProteomeReproducibility of ResultsWorkflowProteomecancer cell linesCELMoDsIMiDsisobaric labelingtargeted protein degradationTMTpro

Identifiers

PMID35848491
PMCPMC9361352
OpenAlexW4285728894

What OpenQuestion holds

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LicenceCC BY
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.