Evidence map›Paper›PMID 39127789›Full record

ArticleScientific data2024

Comprehensive immune cell spectral library for large-scale human primary T, B, and NK cell proteomics.

Hyeon-Jeong Lee, Yoondam Seo, Yoon Park, Eugene C Yi, Dohyun Han, Hophil Min

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Hyeon-Jeong LeeDoping Control Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Korea.
Yoondam SeoDoping Control Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Korea.
Yoon ParkChemical and Biological Integrative Research Center, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Korea.
Eugene C YiDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 03080, Korea.
Dohyun HanTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, 03080, Korea.ORCID 0000-0002-0841-1598
Hophil MinDoping Control Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Korea. mhophil@kist.re.kr.ORCID 0000-0002-2791-406X

Funding

Ministry of Food and Drug Safety (MFDS) 23212MFDS2023
6 · The paper itself

Abstract

Although proteomics is extensively used in immune research, there is currently no publicly accessible spectral assay library for the comprehensive proteome of immune cells. This study generated spectral assay libraries for five human immune cell lines and four primary immune cells: CD4 T, CD8 T, natural killer (NK) cells, and B cells. This was achieved by utilizing data-dependent acquisition (DDA) and employing fractionated samples from over 100 µg of proteins, which was applied to acquire the highest-quality MS/MS spectral data. In addition, Data-indedendent acquisition (DIA) was used to obtain sufficient data points for analyzing proteins from 10,000 primary CD4 T, CD8 T, NK, and B cells. The immune cell spectral assay library generated included 10,544 protein groups and 127,106 peptides. The proteomic profiles of 10,000 primary human immune cells obtained from 15 healthy volunteers analyzed using DIA revealed the highest heterogeneity of B cells among other immune cell types and the similarity between CD4 T and CD8 T cells. All data and spectral library are deposited in ProteomeXchange (PXD047742).

Indexed as

B-LymphocytesKiller Cells, NaturalProteomicsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesHumansProteomeTandem Mass SpectrometryProteome

Identifiers

PMID39127789
PMCPMC11316730

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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.