Evidence map›Paper›PMID 23022584›Full record

ArticleJournal of proteomics2012

A quantitative proteomic workflow for characterization of frozen clinical biopsies: laser capture microdissection coupled with label-free mass spectrometry.

John P Shapiro, Sabyasachi Biswas, Anand S Merchant, Anjali Satoskar, Cenny Taslim, Shili Lin, Brad H Rovin, Chandan K Sen, Sashwati Roy, Michael A Freitas

Abstract read
In one paragraph

Article in Journal of proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cellular and molecular interrogation of kidney biopsy specimens.Current opinion in nephrology and hypertension · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. How Omics Data Can Be Used in Nephrology.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018
    Review
  12. Article
  13. Tag-Count Analysis of Large-Scale Proteomic Data.Journal of proteome research · 2016
    Article
  14. Article
  15. Article
  16. Proteomics and autoimmune kidney disease.Clinical immunology (Orlando, Fla.) · 2015
    Review
  17. Review
  18. Review
  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

10 authors at 1 institution in 1 country.

John P ShapiroDepartment of Molecular Virology, Immunology and Medical Genetics, College of Medicine, Columbus, OH 43210, USA.
Sabyasachi Biswas
Anand S Merchant
Anjali Satoskar
Cenny Taslim
Shili Lin
Brad H Rovin
Chandan K Sen
Sashwati Roy
Michael A Freitas
The Ohio State University · US

Funding

University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
Redox Control of Wound HealingR01GM069589 · NIGMS · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2004 to 2013
$2.3M
Tissue Oxygenation and Wound HealingR01GM077185 · NIGMS · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2007 to 2016
$2.3M
Assays for Screening Histone Modifications in CancerR01CA107106 · NCI · OHIO STATE UNIVERSITY · PI FREITAS, MICHAEL A. · 2004 to 2013
$1.8M
Mechanisms underlying impaired diabetic wound healingR01DK076566 · NIDDK · OHIO STATE UNIVERSITY · PI ROY, SASHWATI · 2008 to 2011
$1.2M
Modeling SLE Nephritis Through Urine MCP-1R01DK074661 · NIDDK · OHIO STATE UNIVERSITY · PI ROVIN, BRAD H · 2008 to 2010
$669k
Mechanisms underlying impaired diabetic wound healingR56DK076566 · NIDDK · OHIO STATE UNIVERSITY · PI ROY, SASHWATI · 2016 to 2016
$347k
ZEISS PALM MicroBeam IV module Rel 4.2S10RR031859 · NCRR · OHIO STATE UNIVERSITY · PI ROY, SASHWATI · 2011 to 2011
$297k
NCI NIH HHS R01 CA107106NCRR NIH HHS RR025755NCRR NIH HHS S10 RR031859NCRR NIH HHS UL1 RR025755NIDDK NIH HHS DK074661NIDDK NIH HHS DK076566NIDDK NIH HHS R01 DK074661NIDDK NIH HHS R01 DK076566NIDDK NIH HHS R56 DK076566NIGMS NIH HHS GM 069589NIGMS NIH HHS GM 077185NIGMS NIH HHS R01 GM069589NIGMS NIH HHS R01 GM077185
6 · The paper itself

Abstract

This paper describes a simple, highly efficient and robust proteomic workflow for routine liquid-chromatography tandem mass spectrometry analysis of Laser Microdissection Pressure Catapulting (LMPC) isolates. Highly efficient protein recovery was achieved by optimization of a "one-pot" protein extraction and digestion allowing for reproducible proteomic analysis on as few as 500 LMPC isolated cells. The method was combined with label-free spectral count quantitation to characterize proteomic differences from 3000-10,000 LMPC isolated cells. Significance analysis of spectral count data was accomplished using the edgeR tag-count R package combined with hierarchical cluster analysis. To illustrate the capability of this robust workflow, two examples are presented: 1) analysis of keratinocytes from human punch biopsies of normal skin and a chronic diabetic wound and 2) comparison of glomeruli from needle biopsies of patients with kidney disease. Differentially expressed proteins were validated by use of immunohistochemistry. These examples illustrate that tissue proteomics carried out on limited clinical material can obtain informative proteomic signatures for disease pathogenesis and demonstrate the suitability of this approach for biomarker discovery.

Indexed as

BiomarkersBiopsyCryopreservationFemaleHumansLaser Capture MicrodissectionMaleMass SpectrometryProteomicsBiomarkers

Identifiers

PMID23022584
PMCPMC3835202
OpenAlexW1980447470

What OpenQuestion holds

Textmetadata
LicenceTDM
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.