Literature DB >> 23484538

Gene set enrichment analysis highlights different gene expression profiles in whole blood samples X-irradiated with low and high doses.

Houssein El-Saghire1, Hubert Thierens, Pieter Monsieurs, Arlette Michaux, Charlot Vandevoorde, Sarah Baatout.   

Abstract

PURPOSE: Health risks from exposure to low doses of ionizing radiation (IR) are becoming a concern due to the rapidly growing medical applications of X-rays. Using microarray techniques, this study aims for a better understanding of whole blood response to low and high doses of IR.
MATERIALS AND METHODS: Aliquots of peripheral blood samples were irradiated with 0, 0.05, and 1 Gy X-rays. RNA was isolated and prepared for microarray gene expression experiments. Bioinformatic approaches, i.e., univariate statistics and Gene Set Enrichment Analysis (GSEA) were used for analyzing the data generated. Seven differentially expressed genes were selected for further confirmation using quantitative real-time PCR (RT-PCR).
RESULTS: Functional analysis of genes differentially expressed at 0.05 Gy showed the enrichment of chemokine and cytokine signaling. However, responsive genes to 1 Gy were mainly involved in tumor suppressor protein 53 (p53) pathways. In a second approach, GSEA showed a higher statistical ranking of inflammatory and immune-related gene sets that are involved in both responding and/or secretion of growth factors, chemokines, and cytokines. This indicates the activation of the immune response. Whereas, gene sets enriched at 1 Gy were 'classical' radiation pathways like p53 signaling, apoptosis, DNA damage and repair. Comparative RT-PCR studies showed the significant induction of chemokine-related genes (PF4, GNG11 and CCR4) at 0.05 Gy and DNA damage and repair genes at 1 Gy (DDB2, AEN and CDKN1A).
CONCLUSIONS: This study moves a step forward in understanding the different cellular responses to low and high doses of X-rays. In addition to that, and in a broader context, it addresses the need for more attention to the risk assessment of health effects resulting from the exposure to low doses of IR.

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Year:  2013        PMID: 23484538     DOI: 10.3109/09553002.2013.782448

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  31 in total

1.  Low-dose radiation accelerates aging of the T-cell receptor repertoire in CBA/Ca mice.

Authors:  Serge M Candéias; Justyna Mika; Paul Finnon; Tom Verbiest; Rosemary Finnon; Natalie Brown; Simon Bouffler; Joanna Polanska; Christophe Badie
Journal:  Cell Mol Life Sci       Date:  2017-06-30       Impact factor: 9.261

2.  DNA double strand breaks induced by low dose mammography X-rays in breast tissue: A pilot study.

Authors:  Julie Depuydt; Tanguy Viaene; Phillip Blondeel; Nathalie Roche; Rudy Van den Broecke; Hubert Thierens; Anne Vral
Journal:  Oncol Lett       Date:  2018-06-26       Impact factor: 2.967

3.  Analysis of Saliva Gene Expression during Head and Neck Cancer Radiotherapy: A Pilot Study.

Authors:  Jerome Lacombe; Carla Brooks; Chengcheng Hu; Emmanuel Menashi; Ronald Korn; Farley Yang; Frederic Zenhausern
Journal:  Radiat Res       Date:  2017-05-15       Impact factor: 2.841

Review 4.  Key mechanisms involved in ionizing radiation-induced systemic effects. A current review.

Authors:  Ifigeneia V Mavragani; Danae A Laskaratou; Benjamin Frey; Serge M Candéias; Udo S Gaipl; Katalin Lumniczky; Alexandros G Georgakilas
Journal:  Toxicol Res (Camb)       Date:  2015-08-11       Impact factor: 3.524

Review 5.  Evaluating biomarkers to model cancer risk post cosmic ray exposure.

Authors:  Deepa M Sridharan; Aroumougame Asaithamby; Steve R Blattnig; Sylvain V Costes; Paul W Doetsch; William S Dynan; Philip Hahnfeldt; Lynn Hlatky; Yared Kidane; Amy Kronenberg; Mamta D Naidu; Leif E Peterson; Ianik Plante; Artem L Ponomarev; Janapriya Saha; Antoine M Snijders; Kalayarasan Srinivasan; Jonathan Tang; Erica Werner; Janice M Pluth
Journal:  Life Sci Space Res (Amst)       Date:  2016-05-21

6.  Influence of Confounding Factors on Radiation Dose Estimation Using In Vivo Validated Transcriptional Biomarkers.

Authors:  Lourdes Cruz-Garcia; Grainne O'Brien; Ellen Donovan; Lone Gothard; Sue Boyle; Antoine Laval; Isabelle Testard; Lucyna Ponge; Grzegorz Woźniak; Leszek Miszczyk; Serge M Candéias; Elizabeth Ainsbury; Piotr Widlak; Navita Somaiah; Christophe Badie
Journal:  Health Phys       Date:  2018-07       Impact factor: 1.316

Review 7.  Microfluidics as a new tool in radiation biology.

Authors:  Jerome Lacombe; Shanna Leslie Phillips; Frederic Zenhausern
Journal:  Cancer Lett       Date:  2015-12-15       Impact factor: 8.679

8.  Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing.

Authors:  Lourdes Cruz-Garcia; Grainne O'Brien; Botond Sipos; Simon Mayes; Michael I Love; Daniel J Turner; Christophe Badie
Journal:  Radiat Res       Date:  2019-12-12       Impact factor: 2.841

9.  Inflammatory profile dysregulation in nuclear workers occupationally exposed to low-dose gamma radiation.

Authors:  Nevena Aneva; Elena Zaharieva; Olya Katsarska; Gergana Savova; Katia Stankova; Jana Djounova; Rayna Boteva
Journal:  J Radiat Res       Date:  2019-11-22       Impact factor: 2.724

10.  Method validation to assess in vivo cellular and subcellular changes in buccal mucosa cells and saliva following CBCT examinations.

Authors:  Niels Belmans; Liese Gilles; Piroska Virag; Mihaela Hedesiu; Benjamin Salmon; Sarah Baatout; Stéphane Lucas; Reinhilde Jacobs; Ivo Lambrichts; Marjan Moreels
Journal:  Dentomaxillofac Radiol       Date:  2019-04-05       Impact factor: 2.419

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