Evidence map›Paper›PMID 21268710›Full record

ArticleRadiation research2011

Identification of radiation-induced expression changes in nonimmortalized human T cells.

Era L Pogosova-Agadjanyan, Wenhong Fan, George E Georges, Jeffrey L Schwartz, Crystal M Kepler, Hana Lee, Amanda L Suchanek, Michelle R Cronk, Ariel Brumbaugh, Julia H Engel and 4 more

Abstract read
In one paragraph

Article in Radiation research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Multifaceted regulation of immune cells in radiation-induced pulmonary fibrosis: from mechanistic insights to targeted therapies.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Screening of Long Noncoding RNAs Induced by Radiation Using Microarray.Dose-response : a publication of International Hormesis Society
    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

14 authors.

Era L Pogosova-AgadjanyanClinical Research Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, WA 98109, USA.
Wenhong Fan
George E Georges
Jeffrey L Schwartz
Crystal M Kepler
Hana Lee
Amanda L Suchanek
Michelle R Cronk
Ariel Brumbaugh
Julia H Engel
Michi Yukawa
Lue P Zhao
Shelly Heimfeld
Derek L Stirewalt

Funding

Transplantation of cord bloodU19AI067770 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GEORGES, GEORGE EARL · 2005 to 2010
$23.2M
NIAID NIH HHS U19 AI067770
6 · The paper itself

Abstract

In the event of a radiation accident or attack, it will be imperative to quickly assess the amount of radiation exposure to accurately triage victims for appropriate care. RNA-based radiation dosimetry assays offer the potential to rapidly screen thousands of individuals in an efficient and cost-effective manner. However, prior to the development of these assays, it will be critical to identify those genes that will be most useful to delineate different radiation doses. Using global expression profiling, we examined expression changes in nonimmortalized T cells across a wide range of doses (0.15-12 Gy). Because many radiation responses are highly dependent on time, expression changes were examined at three different times (3, 8, and 24 h). Analyses identified 61, 512 and 1310 genes with significant linear dose-dependent expression changes at 3, 8 and 24 h, respectively. Using a stepwise regression procedure, a model was developed to estimate in vitro radiation exposures using the expression of three genes (CDKN1A, PSRC1 and TNFSF4) and validated in an independent test set with 86% accuracy. These findings suggest that RNA-based expression assays for a small subset of genes can be employed to develop clinical biodosimetry assays to be used in assessments of radiation exposure and toxicity.

Indexed as

AdultDose-Response Relationship, RadiationFemaleGene ExpressionGene Expression ProfilingHumansMaleMiddle AgedRadiometrySignal TransductionT-Lymphocytes

Identifiers

PMID21268710
PMCPMC3136539

What OpenQuestion holds

Textmetadata
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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.