Evidence map›Paper›PMID 25908275›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2015

Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data.

Lin Lin, Jacob Frelinger, Wenxin Jiang, Greg Finak, Chetan Seshadri, Pierre-Alexandre Bart, Giuseppe Pantaleo, Julie McElrath, Steve DeRosa, Raphael Gottardo

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. CytoML for cross-platform cytometry data sharing.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Using Visualization ofJournal of immunology (Baltimore, Md. : 1950) · 2017
    Article
  14. 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

10 authors.

Lin LinVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Jacob FrelingerVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Wenxin JiangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Greg FinakVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Chetan SeshadriDivision of Allergy and Infectious Diseases, University of Washington, Seattle, Washington.
Pierre-Alexandre BartCentre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Giuseppe PantaleoCentre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Julie McElrathVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Steve DeRosaVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Raphael GottardoVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

Funding

LOC: HIV Vaccine Trials NetworkUM1AI068614 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Dan H. Barouch, Lawrence Corey · 2011 to 2026
$1175.6M
LC: HIV Vaccine Trials NetworkUM1AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Margaret Juliana McElrath · 2011 to 2026
$483.6M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
HVTN Laboratory ProgramU01AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCELRATH, MARGARET JULIANA · 2006 to 2010
$82.6M
Seattle Vaccine Trials UnitUM1AI069481 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Rachel Ann Bender Ignacio, Margaret Juliana McElrath · 2012 to 2026
$24.4M
The Statistical and Computational Analysis of Flow Cytometry DataR01EB008400 · NIBIB · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOTTARDO, RAPHAEL · 2008 to 2015
$2.9M
Immune signatures of protection induced by whole parasite malaria vaccinesU19AI089986 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI STUART, KENNETH D · 2010 to 2015
$2.3M
NIAID NIH HHS U01 AI068618NIAID NIH HHS U19 AI089986NIAID NIH HHS UM1 AI068614NIAID NIH HHS UM1 AI068618NIAID NIH HHS UM1 AI068635NIAID NIH HHS UM1 AI069481NIBIB NIH HHS R01 EB008400
6 · The paper itself

Abstract

An important aspect of immune monitoring for vaccine development, clinical trials, and research is the detection, measurement, and comparison of antigen-specific T-cells from subject samples under different conditions. Antigen-specific T-cells compose a very small fraction of total T-cells. Developments in cytometry technology over the past five years have enabled the measurement of single-cells in a multivariate and high-throughput manner. This growth in both dimensionality and quantity of data continues to pose a challenge for effective identification and visualization of rare cell subsets, such as antigen-specific T-cells. Dimension reduction and feature extraction play pivotal role in both identifying and visualizing cell populations of interest in large, multi-dimensional cytometry datasets. However, the automated identification and visualization of rare, high-dimensional cell subsets remains challenging. Here we demonstrate how a systematic and integrated approach combining targeted feature extraction with dimension reduction can be used to identify and visualize biological differences in rare, antigen-specific cell populations. By using OpenCyto to perform semi-automated gating and features extraction of flow cytometry data, followed by dimensionality reduction with t-SNE we are able to identify polyfunctional subpopulations of antigen-specific T-cells and visualize treatment-specific differences between them.

Indexed as

AdolescentAlgorithmsAntigensComputational BiologyCytokinesEpitopesFlow CytometryHumansLeukocytes, MononuclearStaining and LabelingT-LymphocytesAntigensCytokinesEpitopesantigen-specific T cellsautomated gatingdimension reductionintracellular cytokine stainingpolyfunctionalityvisualization

Identifiers

PMID25908275
PMCPMC4482785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.