Evidence map›Paper›PMID 39025866›Full record

ArticleScientific data2024

A hybrid DDA/DIA-PASEF based assay library for a deep proteotyping of triple-negative breast cancer.

Petr Lapcik, Klara Synkova, Lucia Janacova, Pavla Bouchalova, David Potesil, Rudolf Nenutil, Pavel Bouchal

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Carafe2 enables high qualitybioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. diaTracer enables spectrum-centric analysis of diaPASEF proteomics data.bioRxiv : the preprint server for biology · 2024
    Article
  6. 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

7 authors.

Petr LapcikDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
Klara SynkovaDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
Lucia JanacovaDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
Pavla BouchalovaDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
David PotesilCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Rudolf NenutilDepartment of Oncological Pathology, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Pavel BouchalDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic. bouchal@chemi.muni.cz.ORCID 0000-0002-7118-4113

Funding

Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) CZ.02.1.01/0.0/0.0/18_046/0015974Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) LM2023033Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) LX22NPO5102Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic) NU22-08-00230
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, and deeper proteome coverage is needed for its molecular characterization. We present comprehensive library of targeted mass spectrometry assays specific for TNBC and demonstrate its applicability. Proteins were extracted from 105 TNBC tissues and digested. Aliquots were pooled, fractionated using hydrophilic chromatography and analyzed by LC-MS/MS in data-dependent acquisition (DDA) parallel accumulation-serial fragmentation (PASEF) mode on timsTOF Pro LC-MS system. 16 individual lysates were analyzed in data-independent acquisition (DIA)-PASEF mode. Hybrid library was generated in Spectronaut software and covers 244,464 precursors, 168,006 peptides and 11,564 protein groups (FDR = 1%). Application of our library for pilot quantitative analysis of 16 tissues increased identification numbers in Spectronaut 18.5 and DIA-NN 1.8.1 software compared to library-free setting, with Spectronaut achieving the best results represented by 190,310 precursors, 140,566 peptides, and 10,463 protein groups. In conclusion, we introduce assay library that offers the deepest coverage of TNBC proteome to date. The TNBC library is available via PRIDE repository (PXD047793).

Indexed as

Tandem Mass SpectrometryTriple Negative Breast NeoplasmsChromatography, LiquidFemaleHumansProteomeProteomicsSoftwareProteome

Identifiers

PMID39025866
PMCPMC11258311

What OpenQuestion holds

Textmetadata
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.