Evidence map›Paper›PMID 16335993›Full record

ArticleJournal of proteome research

Development and evaluation of a micro- and nanoscale proteomic sample preparation method.

Haixing Wang, Wei-Jun Qian, Heather M Mottaz, Therese R W Clauss, David J Anderson, Ronald J Moore, David G Camp, Arshad H Khan, Daniel M Sforza, Maria Pallavicini and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
4.5field-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

94 citing papers in PubMed, 186 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Proteomics: Concepts and applications in human medicine.World journal of biological chemistry · 2021
    Review
  19. Article
  20. Article

34 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Haixing WangBiological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
Wei-Jun Qian
Heather M Mottaz
Therese R W Clauss
David J Anderson
Ronald J Moore
David G Camp
Arshad H Khan
Daniel M Sforza
Maria Pallavicini
Desmond J Smith
Richard D Smith
Environmental Molecular Sciences Laboratory · USPacific Northwest National Laboratory · USUniversity of California, Merced · US

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
NCRR NIH HHS P41 RR018522NCRR NIH HHS RR018522
6 · The paper itself

Abstract

Challenges associated with the efficient and effective preparation of micro- and nanoscale (micro- and nanogram) clinical specimens for proteomic applications include the unmitigated sample losses that occur during the processing steps. Herein, we describe a simple "single-tube" preparation protocol appropriate for small proteomic samples using the organic cosolvent, trifluoroethanol (TFE) that circumvents the loss of sample by facilitating both protein extraction and protein denaturation without requiring a separate cleanup step. The performance of the TFE-based method was initially evaluated by comparisons to traditional detergent-based methods on relatively large scale sample processing using human breast cancer cells and mouse brain tissue. The results demonstrated that the TFE-based protocol provided comparable results to the traditional detergent-based protocols for larger, conventionally sized proteomic samples (>100 microg protein content), based on both sample recovery and numbers of peptide/protein identifications. The effectiveness of this protocol for micro- and nanoscale sample processing was then evaluated for the extraction of proteins/peptides and shown effective for small mouse brain tissue samples (approximately 30 microg total protein content) and also for samples of approximately 5000 MCF-7 human breast cancer cells (approximately 500 ng total protein content), where the detergent-based methods were ineffective due to losses during cleanup and transfer steps.

Indexed as

AnimalsBrainBreast NeoplasmsCell Line, TumorDetergentsHumansMaleMass SpectrometryMiceNanotechnologyPeptidesProteinsProteomeProteomicsSolventsTime FactorsDetergentsPeptidesProteinsProteomeSolventsTrifluoroethanol

Identifiers

PMID16335993
PMCPMC1781925
OpenAlexW2111185320

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.