Evidence map›Paper›PMID 35916235›Full record

ArticleJournal of proteome research2022

In-Depth Mass Spectrometry-Based Proteomics of Formalin-Fixed, Paraffin-Embedded Tissues with a Spatial Resolution of 50-200 μm.

Andikan J Nwosu, Santosh A Misal, Thy Truong, Richard H Carson, Kei G I Webber, Nathaniel B Axtell, Yiran Liang, S Madisyn Johnston, Kenneth L Virgin, Ethan G Smith and 4 more

Abstract 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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. MR-SPJournal of proteome research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
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  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. What's new in single-cell proteomics.Current opinion in biotechnology · 2024
    Review
  20. Review
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

14 authors.

Andikan J NwosuDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Santosh A MisalDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Thy TruongDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Richard H CarsonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Kei G I WebberDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Nathaniel B AxtellDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Yiran LiangDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
S Madisyn JohnstonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Kenneth L VirginDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Ethan G SmithDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
George V ThomasKnight Cancer Center, Oregon Health & Science University, Portland, Oregon 97239, United States.
Terry MorganDepartment of Pathology, Oregon Health & Science University, Portland, Oregon 97239, United States.
John C PriceDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-6780-5247
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-3339-4443

Funding

Biochemical Consequences of Regiospecific Metabolic Bias in the BrainR01AG066874 · NIA · BRIGHAM YOUNG UNIVERSITY · PI PRICE, JOHN C. · 2020 to 2024
$3.0M
Area A: In-Depth Proteome Mapping of the Tumor Microenvironment with Single-Cell ResolutionR33CA225248 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2017 to 2017
$1.7M
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomicsR01GM138931 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2020 to 2023
$1.6M
NCI NIH HHS R33 CA225248NIA NIH HHS R01 AG066874NIGMS NIH HHS R01 GM138931
6 · The paper itself

Abstract

Formalin-fixed, paraffin-embedded (FFPE) tissues are banked in large repositories to cost-effectively preserve valuable specimens for later study. With the rapid growth of spatial proteomics, FFPE tissues can serve as a more accessible alternative to more commonly used frozen tissues. However, extracting proteins from FFPE tissues is challenging due to cross-links formed between proteins and formaldehyde. Here, we have adapted the nanoPOTS sample processing workflow, which was previously applied to single cells and fresh-frozen tissues, to profile protein expression from FFPE tissues. Following the optimization of extraction solvents, times, and temperatures, we identified an average of 1312 and 3184 high-confidence master proteins from 10 μm thick FFPE-preserved mouse liver tissue squares having lateral dimensions of 50 and 200 μm, respectively. The observed proteome coverage for FFPE tissues was on average 88% of that achieved for similar fresh-frozen tissues. We also characterized the performance of our fully automated sample preparation and analysis workflow, termed autoPOTS, for FFPE spatial proteomics. This modified nanodroplet processing in one pot for trace samples (nanoPOTS) and fully automated processing in one pot for trace sample (autoPOTS) workflows provides the greatest coverage reported to date for high-resolution spatial proteomics applied to FFPE tissues. Data are available via ProteomeXchange with identifier PXD029729.

Indexed as

ProteomicsTandem Mass SpectrometryAnimalsFormaldehydeMiceParaffin EmbeddingProteomeTissue FixationFormaldehydeProteomeautoPOTSFFPELCMmass spectrometrynanodropletspatial proteomics

Identifiers

PMID35916235
PMCPMC9767749

What OpenQuestion holds

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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.