Journal ArticleDOI
Transcriptomics for radiation biodosimetry: progress and challenges.
TLDR
Transcriptomic-based approaches are being developed to meet the needs for large-scale radiation dose and injury assessment and provide population triage following a radiological or nuclear event as mentioned in this paper.Abstract:
Transcriptomic-based approaches are being developed to meet the needs for large-scale radiation dose and injury assessment and provide population triage following a radiological or nuclear event. T...read more
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Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease
TL;DR: In this paper , the authors explored the available omics studies on radiation-induced cardiovascular disease (CVD) and their applicability to the proposed adverse outcome pathway (AOP) for CVD.
Journal ArticleDOI
Gene expression for biodosimetry and effect prediction purposes: promises, pitfalls and future directions - key session ConRad 2021.
Patrick Ostheim,Sally A. Amundson,Christophe Badie,Dimitry Bazyka,Angela C. Evans,Shanaz A. Ghandhi,Maria Gomolka,Milagrosa López Riego,Peter K. Rogan,Robert H. Terbrueggen,Gayle E. Woloschak,Frederic Zenhausern,Hanns Leonhard Kaatsch,Simone Schüle,Reinhard Ullmann,Matthias Port,Michael Abend +16 more
TL;DR: In this article, the applicability of radiation-induced gene expression (GE) changes observed within hours and days after irradiation has shown potential to serve as biomarkers for either dose reconstruction (retrospective dosimetry) or the prediction of consecutively occurring acute or chronic health effects.
Journal ArticleDOI
The transcriptomic revolution and radiation biology.
TL;DR: A review of the origins and evolution of functional genomics can be found in this article, where the authors describe the experimental technology, and then some of the approaches applied to data analysis and visualization.
Journal ArticleDOI
Lung transcriptome of nonhuman primates exposed to total- and partial-body irradiation
Neetha Nanoth Vellichirammal,Sahil S. Sethi,Sanjit Pandey,Jatinder Singh,Stephen Y. Wise,Alana D. Carpenter,Oluseyi O. Fatanmi,Chittibabu Guda,Vijay K. Singh +8 more
TL;DR: In this paper , the authors used a nonhuman primate model to investigate the impact of a supralethal dose of 12 Gy radiation on alterations in the lung transcriptome.
Journal ArticleDOI
Early molecular markers for retrospective biodosimetry and prediction of acute health effects
TL;DR: In this article , a review of the use of molecular protein or gene expression (GE) (mRNA) marker for early (1-3 days after irradiation), high-throughput and point-of-care diagnosis, required for the prediction of the acute radiation syndrome (ARS) in radiological or nuclear scenarios is presented.
References
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Journal ArticleDOI
NCBI GEO: archive for high-throughput functional genomic data
Tanya Barrett,Dennis B. Troup,Stephen E. Wilhite,Pierre Ledoux,Dmitry Rudnev,Carlos Evangelista,Irene F. Kim,Alexandra Soboleva,Maxim Tomashevsky,Kimberly A. Marshall,Katherine Phillippy,Patti M. Sherman,Rolf N. Muertter,Ron Edgar +13 more
TL;DR: The Gene Expression Omnibus at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data and offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives.
Journal ArticleDOI
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
Liat Ein-Dor,Or Zuk,Eytan Domany +2 more
TL;DR: A previously undescribed mathematical method is introduced, probably approximately correct (PAC) sorting, for evaluating the robustness of reported predictive gene lists, and for several published data sets the number of samples that are needed to achieve any desired level of reproducibility.
Journal ArticleDOI
Natural variation in human gene expression assessed in lymphoblastoid cells
Vivian G. Cheung,Laura K. Conlin,Teresa M. Weber,Melissa Arcaro,Kuang-Yu Jen,Michael Morley,Richard S. Spielman +6 more
TL;DR: There is evidence for familial aggregation of expression phenotype by comparing variation among unrelated individuals, among siblings within families and between monozygotic twins, which suggests that there is a genetic contribution to polymorphic variation in the level of gene expression.
Journal ArticleDOI
Medical Management of the Acute Radiation Syndrome: Recommendations of the Strategic National Stockpile Radiation Working Group
Jamie K. Waselenko,Thomas J. MacVittie,William F. Blakely,Nicki Pesik,Albert L. Wiley,William E. Dickerson,Horace Tsu,Dennis L. Confer,C. Norman Coleman,Thomas M. Seed,Patrick C. Lowry,James O. Armitage,Nicholas Dainiak +12 more
TL;DR: In this paper, a consensus document was developed by the Strategic National Stockpile Radiation Working Group to provide a framework for physicians in internal medicine and the medical subspecialties to evaluate and manage large-scale radiation injuries.
Journal ArticleDOI
The transcriptional landscape of age in human peripheral blood
Marjolein J. Peters,Roby Joehanes,Luke C. Pilling,Claudia Schurmann,Claudia Schurmann,Karen N. Conneely,Joseph E. Powell,Eva Reinmaa,George L. Sutphin,Alexandra Zhernakova,Katharina Schramm,Yana A. Wilson,Sayuko Kobes,Taru Tukiainen,Taru Tukiainen,Yolande F. M. Ramos,Harald H H Göring,Myriam Fornage,Yongmei Liu,Sina A. Gharib,Barbara E. Stranger,Philip L. De Jager,Abraham Aviv,Daniel Levy,Joanne M. Murabito,Peter J. Munson,Tianxiao Huan,Albert Hofman,André G. Uitterlinden,Fernando Rivadeneira,Jeroen van Rooij,Lisette Stolk,Linda Broer,Michael M. P. J. Verbiest,Mila Jhamai,Pascal P. Arp,Andres Metspalu,Liina Tserel,Lili Milani,Nilesh J. Samani,Nilesh J. Samani,Pärt Peterson,Silva Kasela,Veryan Codd,Veryan Codd,Annette Peters,Cavin K. Ward-Caviness,Christian Herder,Melanie Waldenberger,Michael Roden,Paula Singmann,Sonja Zeilinger,Thomas Illig,Georg Homuth,Hans J. Grabe,Henry Völzke,Leif Steil,Thomas Kocher,Anna Murray,David Melzer,Hanieh Yaghootkar,Stefania Bandinelli,Eric K. Moses,Jack W. Kent,Joanne E. Curran,Matthew P. Johnson,Sarah Williams-Blangero,Harm-Jan Westra,Harm-Jan Westra,Harm-Jan Westra,Allan F. McRae,Jennifer A. Smith,Sharon L.R. Kardia,Iiris Hovatta,Iiris Hovatta,Markus Perola,Markus Perola,Markus Perola,Samuli Ripatti,Samuli Ripatti,Samuli Ripatti,Veikko Salomaa,Anjali K. Henders,Nicholas G. Martin,Alicia K. Smith,Divya Mehta,Elisabeth B. Binder,K. Maria Nylocks,Elizabeth M. Kennedy,Torsten Klengel,Jingzhong Ding,Astrid Suchy-Dicey,Daniel A. Enquobahrie,Jennifer A. Brody,Jerome I. Rotter,Yii-Der Ida Chen,Jeanine J. Houwing-Duistermaat,Margreet Kloppenburg,P. Eline Slagboom,Quinta Helmer,Wouter den Hollander,Shannon Bean,Towfique Raj,Noman Bakhshi,Qiao-Ping Wang,Lisa J. Oyston,Bruce M. Psaty,Bruce M. Psaty,Russell P. Tracy,Grant W. Montgomery,Stephen T. Turner,John Blangero,Ingrid Meulenbelt,Kerry J. Ressler,Jian Yang,Lude Franke,Johannes Kettunen,Johannes Kettunen,Johannes Kettunen,Peter M. Visscher,G. Gregory Neely,Ron Korstanje,Robert L. Hanson,Holger Prokisch,Luigi Ferrucci,Tõnu Esko,Tõnu Esko,Tõnu Esko,Alexander Teumer,Joyce B. J. van Meurs,Andrew D. Johnson,Mike A. Nalls,Dena G. Hernandez,Dena G. Hernandez,Mark R. Cookson,Raphael Gibbs,Raphael Gibbs,John Hardy,Adaikalavan Ramasamy,Adaikalavan Ramasamy,Alan B. Zonderman,Allissa Dillman,Allissa Dillman,Bryan J. Traynor,Colin Smith,Dan L. Longo,Daniah Trabzuni,Daniah Trabzuni,Juan C. Troncoso,Marcel P. van der Brug,Marcel P. van der Brug,Michael E. Weale,Richard O'Brien,Robert L. Johnson,Robert Walker,Ronald H. Zielke,Sampath Arepalli,Mina Ryten,Andrew B. Singleton +158 more
TL;DR: Differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index and the transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models.