Evidence map›Paper›PMID 17531779›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2007

High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease.

Ryan Remy Brinkman, Maura Gasparetto, Shang-Jung Jessica Lee, Albert J Ribickas, Janelle Perkins, William Janssen, Renee Smiley, Clay Smith

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Robust Bayesian inference via coarsening.Journal of the American Statistical Association · 2019
    Article
  4. Article
  5. Identifying Mixtures of Mixtures Using Bayesian Estimation.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Rapid cell population identification in flow cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011
    Article
  12. Article
  13. Article
  14. Combining Mixture Components for Clustering.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2010
    Article
  15. Article
  16. Article
  17. Article
  18. A survey of flow cytometry data analysis methods.Advances in bioinformatics · 2009
    Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Ryan Remy BrinkmanTerry Fox Laboratory/British Columbia Cancer Agency, Vancouver, Canada.
Maura Gasparetto
Shang-Jung Jessica Lee
Albert J Ribickas
Janelle Perkins
William Janssen
Renee Smiley
Clay Smith
BC Cancer Agency · CA

Funding

Bioinformatics Standards for Flow CytometryR01EB005034 · NIBIB · BRITISH COLUMBIA CANCER AGENCY · PI BRINKMAN, RYAN REMY · 2005 to 2008
$912k
NIBIB NIH HHS R01 EB005034
6 · The paper itself

Abstract

Acute graft-versus-host disease (GVHD) is diagnosed by clinical and histologic criteria that are often nonspecific and typically apparent only after the disease is well established. Because GvHD is mediated by donor T cells and other immune effector cells, we sought to determine whether changes within a wide array of peripheral blood lymphocyte populations could predict the development of GvHD. Peripheral blood samples from 31 patients undergoing allogeneic blood and marrow transplant were analyzed for the proportion of 121 different subpopulations defined by 4-color combinations of lymphocyte phenotypic and activation markers at progressive time points posttransplant. Samples were processed using a newly developed high content flow cytometry technique and subjected to a spline- and functional linear discriminant analysis (FLDA)-based temporal analysis technique. This strategy identified a consistent posttransplant increase in the proportion and extent of fluctuation of CD3+CD4+CD8beta+ cells in patients who developed GVHD compared to those that did not. Although larger prospective clinical studies will be necessary to validate these results, this study demonstrates that high-content flow cytometry coupled with temporal analysis is a powerful approach for developing new diagnostic tools, and may be useful for developing a sensitive and specific predictive test for GVHD.

Indexed as

Predictive Value of TestsCD3 ComplexCD4 AntigensCD8 AntigensFlow CytometryGraft vs Host DiseaseHematopoietic Stem Cell TransplantationImmunophenotypingLymphocyte ActivationLymphocytesTimeCD3 ComplexCD4 AntigensCD8 AntigensCD8beta antigen

Identifiers

PMID17531779
PMCPMC2000975
OpenAlexW1966431158

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.