Evidence map›Paper›PMID 35893583›Full record

ArticleMethods and protocols2022

A Protocol for the Acquisition of Comprehensive Proteomics Data from Single Cases Using Formalin-Fixed Paraffin Embedded Sections.

Mitchell Acland, Parul Mittal, Georgia Arentz, Fergus Whitehead, Peter Hoffmann, Manuela Klingler-Hoffmann, Martin K Oehler

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 1 country.

Mitchell AclandAdelaide Proteomics Centre, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.
Parul MittalClinical & Health Science, Mawson Lakes Campus, University of South Australia, Adelaide, SA 5095, Australia.
Georgia ArentzAdelaide Proteomics Centre, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.
Fergus WhiteheadClinpath Pathology, 21 James Congdon Drive, Mile End, Adelaide, SA 5031, Australia.
Peter HoffmannClinical & Health Science, Mawson Lakes Campus, University of South Australia, Adelaide, SA 5095, Australia.
Manuela Klingler-HoffmannClinical & Health Science, Mawson Lakes Campus, University of South Australia, Adelaide, SA 5095, Australia.
Martin K OehlerDepartment of Gynaecological Oncology, Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia.
University of Adelaide · AUUniversity of South Australia · AUSouth Australia Pathology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular analysis of small or rare patient tissue samples is challenging and often limited by available technologies and resources, such as reliable antibodies against a protein of interest. Although targeted approaches provide some insight, here, we describe the workflow of two complementary mass spectrometry approaches, which provide a more comprehensive and non-biased analysis of the molecular features of the tissue of interest. Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) generates spatial intensity maps of molecular features, which can be easily correlated with histology. Additionally, liquid chromatography tandem mass spectrometry (LC-MS/MS) can identify and quantify proteins of interest from a consecutive section of the same tissue. Here, we present data from concurrent precancerous lesions from the endometrium and fallopian tube of a single patient. Using this complementary approach, we monitored the abundance of hundreds of proteins within the precancerous and neighboring healthy regions. The method described here represents a useful tool to maximize the number of molecular data acquired from small sample sizes or even from a single case. Our initial data are indicative of a migratory phenotype in these lesions and warrant further research into their malignant capabilities.

Indexed as

endometrial intraepithelial carcinomahigh grade serous ovarian carcinomalaser capture microdissectionLC-MS/MSMALDI mass spectrometry imagingproteomicsserous endometrial carcinomaserous tubal intraepithelial carcinoma

Identifiers

PMID35893583
PMCPMC9326557
OpenAlexW4285004865

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.