Evidence map›Paper›PMID 19153700›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2009

MudPIT analysis: application to human heart tissue.

Kelli G Kline, Christine C Wu

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Advancing alcohol biomarkers research.Alcoholism, clinical and experimental research · 2010
    Article
  7. Article
  8. 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

2 authors.

Kelli G KlineDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA.
Christine C Wu

Funding

Quantitative Proteomic Analysis of the Intact Human HeartR21HL083360 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI WU, CHRISTINE C. · 2006 to 2007
$304k
PROTEOMIC DISSECTION OF CHLAMYDIA/HOST INTERACTIONSK22AI059076 · NIAID · UNIVERSITY OF COLORADO DENVER · PI WU, CHRISTINE C. · 2005 to 2006
$269k
Quantitative Proteomic Analysis of the Intact Human HeartF31AA017341 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI KLINE, KELLI G. · 2007 to 2008
$46k
NHLBI NIH HHS HL083360NHLBI NIH HHS R21 HL083360NIAAA NIH HHS F31 AA017341NIAID NIH HHS AI059076NIAID NIH HHS K22 AI059076
6 · The paper itself

Abstract

Although two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) has been used as the standard proteomic approach for separating proteins in a complex mixture, this technique has many drawbacks. These include a limited molecular mass range, poor separation of highly acidic or basic proteins, and exclusion of the majority of membrane proteins from analysis. Considering the important functions of many membrane proteins, such as receptors, ion transporters, signal transducers, and cell adhesion proteins, it is increasingly important that these proteins are not excluded during the global proteomic analysis of cellular systems. Multidimensional Protein Identification Technology (MudPIT) offers a gel-free alternative to 2D-PAGE for the analysis of both membrane and soluble proteins.The goal of this chapter is to provide detailed methods for using MudPIT to profile both membrane and soluble proteins in complex unfractionated samples. Methods discussed will include tissue homogenization, sample preparation, MudPIT, data analysis, and an application for the analysis of unfractionated total tissue homogenate from human heart.

Indexed as

Chromatography, High Pressure LiquidCyanogen BromideElectrophoresis, Gel, Two-DimensionalFormatesHumansMembrane ProteinsMyocardiumProteomeProteomicsTrypsinCyanogen BromideFormatesformic acidMembrane ProteinsProteomeTrypsin

Identifiers

PMID19153700
PMCPMC2765120

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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.