Evidence map›Paper›PMID 30768908›Full record

ArticleJournal of proteome research2019

Development of a Sensitive, Scalable Method for Spatial, Cell-Type-Resolved Proteomics of the Human Brain.

Simon Davis, Connor Scott, Olaf Ansorge, Roman Fischer

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. A Proteogenomic View of Synchronous Endometrioid Endometrial and Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Laser capture microdissection.Nature reviews. Methods primers · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Betz cells of the primary motor cortex.The Journal of comparative neurology · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Simon DavisTarget Discovery Institute, Nuffield Department of Medicine , University of Oxford , Roosevelt Drive , Oxford , OX3 7FZ , U.K.ORCID 0000-0001-7840-2411
Connor ScottAcademic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences , University of Oxford, John Radcliffe Hospital , Oxford , OX3 9DU , U.K.
Olaf AnsorgeAcademic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences , University of Oxford, John Radcliffe Hospital , Oxford , OX3 9DU , U.K.
Roman FischerTarget Discovery Institute, Nuffield Department of Medicine , University of Oxford , Roosevelt Drive , Oxford , OX3 7FZ , U.K.ORCID 0000-0002-9715-5951
Jenner Institute · GBJohn Radcliffe Hospital · GB

Funding

Medical Research Council G1000691Medical Research Council MR/L022656/1
6 · The paper itself

Abstract

While nearly comprehensive proteome coverage can be achieved from bulk tissue or cultured cells, the data usually lacks spatial resolution. As a result, tissue based proteomics averages protein abundance across multiple cell types and/or localizations. With proteomics platforms lacking sensitivity and throughput to undertake deep single-cell proteome studies in order to resolve spatial or cell type dependent protein expression gradients within tissue, proteome analysis has been combined with sorting techniques to enrich for certain cell populations. However, the spatial resolution and context is lost after cell sorting. Here, we report an optimized method for the proteomic analysis of neurons isolated from post-mortem human brain by laser capture microdissection (LCM). We tested combinations of sample collection methods, lysis buffers and digestion methods to maximize the number of identifications and quantitative performance, identifying 1500 proteins from 60 000 μm

Indexed as

ProteomeBrainBrain ChemistryHumansLaser Capture MicrodissectionProteomicsReproducibility of ResultsSensitivity and SpecificityProteomebrainlaser capture microdissectionLC−MS/MSspatially resolved proteomicstissue proteomics

Identifiers

PMID30768908
PMCPMC6456870
OpenAlexW2911890967

What OpenQuestion holds

Textmetadata
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.