Evidence map›Paper›PMID 31692674›Full record

ArticleData in brief2019

Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure.

Eric C Rouchka, Robert M Flight, Bridgitte H Fasciotto, Rosendo Estrada, John W Eaton, Phani K Patibandla, Sabine J Waigel, Dazhuo Li, John K Kirtley, Palaniappan Sethu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors at 3 institutions in 1 country.

Eric C RouchkaDepartment of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, United States.
Robert M FlightDepartment of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, 40356, United States.
Bridgitte H FasciottoDepartment of Electrical and Computer Engineering, University of Louisville, Louisville, KY, 40292, United States.
Rosendo EstradaDepartment of Bioengineering, University of Louisville, Louisville, KY, 40292, United States.
John W EatonDepartment of Medicine, University of Louisville, Louisville, KY, 40292, United States.
Phani K PatibandlaDivision of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, United States.
Sabine J WaigelJames Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, United States.
Dazhuo LiDepartment of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, United States.
John K KirtleyDepartment of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, United States.
Palaniappan SethuDivision of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, United States.
Robert S KeyntonDepartment of Bioengineering, University of Louisville, Louisville, KY, 40292, United States.
University of Louisville · USUniversity of Alabama at Birmingham · USUniversity of Kentucky · US

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
ZEBRAFISH VISUAL FUNCTION RECOVERY FOLLOWING OPTIC NERVE DAMAGEP20RR016481 · NCRR · UNIVERSITY OF LOUISVILLE · PI BARTON, HAZEL A · 2001 to 2011
$34.8M
NCRR NIH HHS P20 RR016481NIGMS NIH HHS P20 GM103436
6 · The paper itself

Abstract

Exposure to ionizing radiation associated with highly energetic and charged heavy particles is an inherent risk astronauts face in long duration space missions. We have previously considered the transcriptional effects that three levels of radiation (0.3 Gy, 1.5 Gy, and 3.0 Gy) have at an immediate time point (1 hr) post-exposure [1]. Our analysis of these results suggest effects on transcript levels that could be modulated at lower radiation doses [2]. In addition, a time dependent effect is likely to be present. Therefore, in order to develop a lab-on-a-chip approach for detection of radiation exposure in terms of both radiation level and time since exposure, we developed a time- and dose-course study to determine appropriate sensitive and specific transcript biomarkers that are detectable in blood samples. The data described herein was developed from a study measuring exposure to 0.15 Gy, 0.30 Gy, and 1.5 Gy of radiation at 1 hr, 2 hr, and 6 hr post-exposure using Affymetrix® GeneChip® PrimeView™ microarrays. This report includes raw gene expression data files from the resulting microarray experiments representing typical radiation exposure levels an astronaut may experience as part of a long duration space mission. The data described here is available in NCBI's Gene Expression Omnibus (GEO), accession GSE63952.

Indexed as

Gene expressionLab-on-a-chipMicroarraysRadiation exposureSpace flight

Identifiers

PMID31692674
PMCPMC6806397
OpenAlexW2978421681

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.