Evidence map›Paper›PMID 37916885›Full record

ArticleThe EMBO journal2023

A region-resolved proteomic map of the human brain enabled by high-throughput proteomics.

Johanna Tüshaus, Amirhossein Sakhteman, Severin Lechner, Matthew The, Eike Mucha, Christoph Krisp, Jürgen Schlegel, Claire Delbridge, Bernhard Kuster

Abstract read
In one paragraph

Article in The EMBO journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic and Proteomic Investigation of the Smoking-Parkinson's Disease Association.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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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.

Johanna TüshausProteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, Munich, Germany.ORCID 0000-0001-9206-8093
Amirhossein SakhtemanProteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, Munich, Germany.
Severin LechnerProteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, Munich, Germany.ORCID 0000-0003-2297-9208
Matthew TheProteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, Munich, Germany.ORCID 0000-0002-5401-5553
Eike MuchaBruker Daltonics GmbH & Co. KG, Bremen, Germany.
Christoph KrispBruker Daltonics GmbH & Co. KG, Bremen, Germany.
Jürgen SchlegelDepartment of Neuropathology, Klinikum Rechts der ISAR, School of Medicine, Technical University Munich, Munich, Germany.ORCID 0000-0002-5544-2717
Claire DelbridgeDepartment of Neuropathology, Klinikum Rechts der ISAR, School of Medicine, Technical University Munich, Munich, Germany.
Bernhard KusterProteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, Munich, Germany.ORCID 0000-0002-9094-1677

Funding

Bundesministerium für Bildung und Forschung (BMBF) 031L0305ABundesministerium für Bildung und Forschung (BMBF) 16LW0243KBundesministerium für Bildung und Forschung (BMBF) FKZ161L0214ADeutsche Forschungsgemeinschaft (DFG) SFB 1309
6 · The paper itself

Abstract

Substantial efforts are underway to deepen our understanding of human brain morphology, structure, and function using high-resolution imaging as well as high-content molecular profiling technologies. The current work adds to these approaches by providing a comprehensive and quantitative protein expression map of 13 anatomically distinct brain regions covering more than 11,000 proteins. This was enabled by the optimization, characterization, and implementation of a high-sensitivity and high-throughput microflow liquid chromatography timsTOF tandem mass spectrometry system (LC-MS/MS) capable of analyzing more than 2,000 consecutive samples prepared from formalin-fixed paraffin embedded (FFPE) material. Analysis of this proteomic resource highlighted brain region-enriched protein expression patterns and functional protein classes, protein localization differences between brain regions and individual markers for specific areas. To facilitate access to and ease further mining of the data by the scientific community, all data can be explored online in a purpose-built R Shiny app (https://brain-region-atlas.proteomics.ls.tum.de).

Indexed as

ProteomicsTandem Mass SpectrometryBrainChromatography, LiquidHumansParaffin EmbeddingProteinsProteomeProteinsProteomebrain proteome atlasbrain regionshigh-throughput proteomicsmicro-flow LCtimsTOF

Identifiers

PMID37916885
PMCPMC10690467

What OpenQuestion holds

Textmetadata
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.