Evidence map›Paper›PMID 19811078›Full record

ReviewExpert review of proteomics2009

Emerging affinity-based techniques in proteomics.

Shengnan Xie, Colby Moya, Betul Bilgin, Arul Jayaraman, S Patrick Walton

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Top-down proteomics.Nature reviews. Methods primers · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Novel Strategies to Address the Challenges in Top-Down Proteomics.Journal of the American Society for Mass Spectrometry · 2021
    Review
  9. Article
  10. Article
  11. Nutrition and Genetics in NAFLD: The Perfect Binomium.International journal of molecular sciences · 2020
    Review
  12. Article
  13. Article
  14. Streamlined circular proximity ligation assay provides high stringency and compatibility with low-affinity antibodies.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Proteomics of plant pathogenic fungi.Journal of biomedicine & biotechnology · 2010
    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

5 authors.

Shengnan XieDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824-1226, USA.
Colby Moya
Betul Bilgin
Arul Jayaraman
S Patrick Walton

Funding

Develop a Dynamic Model that Incoporates Text-mining to Reconstruct NetworksR01GM079688 · NIGMS · MICHIGAN STATE UNIVERSITY · PI CHAN, CHRISTINA · 2007 to 2012
$1.2M
Development of a parallel, array-based transcription factor expression assayR21RR024439 · NCRR · MICHIGAN STATE UNIVERSITY · PI WALTON, STEPHEN PATRICK · 2008 to 2010
$540k
Aptamer-based Proteomic Analysis for Cancer SignaturesR21CA126136 · NCI · MICHIGAN STATE UNIVERSITY · PI WALTON, STEPHEN PATRICK · 2006 to 2007
$354k
NCI NIH HHS R21 CA126136NCRR NIH HHS R21 RR024439NIGMS NIH HHS R01 GM079688
6 · The paper itself

Abstract

Proteomes of interest, such as the human proteome, have such complexity that no single technique is adequate for the complete analysis of the constituents. Depending on the goal (e.g., identification of a novel protein vs measurement of the level of a known protein), the tools required can vary significantly. While existing methods provide valuable information, their limitations drive the development of complementary, innovative methods to achieve greater breadth of coverage, dynamic range or specificity of analysis. We will discuss affinity-based methods and their applications, focusing on their unique advantages. In addition, we will describe emerging methods with potential value to proteomics, as well as the challenges that remain for proteomic studies.

Indexed as

Affinity LabelsProteomicsAffinity Labels

Identifiers

PMID19811078
PMCPMC3967512

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.