Evidence map›Paper›PMID 16269039›Full record

ReviewPediatric transplantation2005

Transplantation proteomics.

Avram Z Traum, Asher D Schachter

Abstract readReview
In one paragraph

Review in Pediatric transplantation, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Characterization of acute renal allograft rejection by human serum proteomic analysis.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2009
    Article
  5. 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

2 authors.

Avram Z TraumDivision of Nephrology, Children's Hospital Boston, MA, USA.
Asher D Schachter

Funding

RESEARCH TRAINING IN PEDIATRIC NEPHROLOGYT32DK007726 · NIDDK · CHILDREN'S HOSPITAL BOSTON · PI BRISCOE, DAVID M. · 1994 to 2023
$5.9M
Mentored Patient-Oriented Research Career Development AwK23RR016080 · NCRR · CHILDREN'S HOSPITAL BOSTON · PI SCHACHTER, ASHER D · 2000 to 2004
$627k
NCRR NIH HHS K23 RR016080NCRR NIH HHS K23 RR016080-05NCRR NIH HHS K23 RR 16080NIDDK NIH HHS T32 DK 007726NIDDK NIH HHS T32 DK007726NIDDK NIH HHS T32 DK007726-22
6 · The paper itself

Abstract

The field of proteomics is developing at a rapid pace in the post-genome era. Translational proteomics investigations aim to apply a combination of established methods and new technologies to learn about protein expression profiles predictive of clinical events, therapeutic response, and underlying mechanisms. However, in contrast to genetic studies and in parallel with gene expression studies, the dynamic nature of the proteome in conjunction with the challenges of accounting for post-translational modifications requires the translational proteomics investigator to understand the strengths and limitations of proteomics approaches. In this review, we provide an overview of proteomics approaches and techniques, and proteomics informatics for clinical transplantation investigators. We also review recent publications pertaining to transplantation proteomics, and discuss the implications and utility of urine proteomics for non-invasive investigation of transplant outcomes.

Indexed as

AnimalsGraft RejectionGraft vs Host DiseaseHumansMass SpectrometryModels, AnimalProtein BiosynthesisProteinsProteomicsTransplantationProteins

Identifiers

PMID16269039
PMCPMC1343536

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.