Literature DB >> 33546472

A Meta-Analysis of the Effects of High-LET Ionizing Radiations in Human Gene Expression.

Theodora-Dafni Michalettou1,2, Ioannis Michalopoulos2, Sylvain V Costes3, Christine E Hellweg4, Megumi Hada5, Alexandros G Georgakilas1.   

Abstract

The use of high linear energy transfer (LET) ionizing radiation (IR) is progressively being incorporated in radiation therapy due to its precise dose localization and high relative biological effectiveness. At the same time, these benefits of particle radiation become a high risk for astronauts in the case of inevitable cosmic radiation exposure. Nonetheless, DNA Damage Response (DDR) activated via complex DNA damage in healthy tissue, occurring from such types of radiation, may be instrumental in the induction of various chronic and late effects. An approach to elucidating the possible underlying mechanisms is studying alterations in gene expression. To this end, we identified differentially expressed genes (DEGs) in high Z and high energy (HZE) particle-, γ-ray- and X-ray-exposed healthy human tissues, utilizing microarray data available in public repositories. Differential gene expression analysis (DGEA) was conducted using the R programming language. Consequently, four separate meta-analyses were conducted, after DEG lists were grouped depending on radiation type, radiation dose and time of collection post-irradiation. To highlight the biological background of each meta-analysis group, functional enrichment analysis and biological network construction were conducted. For HZE particle exposure at 8-24 h post-irradiation, the most interesting finding is the variety of DNA repair mechanisms that were downregulated, a fact that is probably correlated with complex DNA damage formation. Simultaneously, after X-ray exposure during the same hours after irradiation, DNA repair mechanisms continue to take place. Finally, in a further comparison of low- and high-LET radiation effects, the most prominent result is that autophagy mechanisms seem to persist and that adaptive immune induction seems to be present. Such bioinformatics approaches may aid in obtaining an overview of the cellular response to high-LET particles. Understanding these response mechanisms can consequently aid in the development of countermeasures for future space missions and ameliorate heavy ion treatments.

Entities:  

Keywords:  DNA damage response; computational radiobiology; differential gene expression; functional enrichment analysis; high-LET; meta-analysis; microarrays; space radiation

Year:  2021        PMID: 33546472      PMCID: PMC7913660          DOI: 10.3390/life11020115

Source DB:  PubMed          Journal:  Life (Basel)        ISSN: 2075-1729


  92 in total

1.  The sva package for removing batch effects and other unwanted variation in high-throughput experiments.

Authors:  Jeffrey T Leek; W Evan Johnson; Hilary S Parker; Andrew E Jaffe; John D Storey
Journal:  Bioinformatics       Date:  2012-01-17       Impact factor: 6.937

2.  Transcription profile of DNA damage response genes at G₀ lymphocytes exposed to gamma radiation.

Authors:  Divyalakshmi Saini; Shridevi Shelke; A Mani Vannan; Sneh Toprani; Vinay Jain; Birajalaxmi Das; M Seshadri
Journal:  Mol Cell Biochem       Date:  2012-01-19       Impact factor: 3.396

Review 3.  p21: A Two-Faced Genome Guardian.

Authors:  Alexandros G Georgakilas; Olga A Martin; William M Bonner
Journal:  Trends Mol Med       Date:  2017-03-07       Impact factor: 11.951

4.  Dose, LET and Strain Dependence of Radiation-Induced 53BP1 Foci in 15 Mouse Strains Ex Vivo Introducing Novel DNA Damage Metrics.

Authors:  Sébastien Penninckx; Egle Cekanaviciute; Charlotte Degorre; Elodie Guiet; Louise Viger; Stéphane Lucas; Sylvain V Costes
Journal:  Radiat Res       Date:  2019-05-13       Impact factor: 2.841

5.  Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data.

Authors:  Christian Müller; Arne Schillert; Caroline Röthemeier; David-Alexandre Trégouët; Carole Proust; Harald Binder; Norbert Pfeiffer; Manfred Beutel; Karl J Lackner; Renate B Schnabel; Laurence Tiret; Philipp S Wild; Stefan Blankenberg; Tanja Zeller; Andreas Ziegler
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

6.  An end to end workflow for differential gene expression using Affymetrix microarrays.

Authors:  Bernd Klaus; Stefanie Reisenauer
Journal:  F1000Res       Date:  2016-06-15

Review 7.  Induction and repair of clustered DNA lesions: what do we know so far?

Authors:  Alexandros G Georgakilas; Peter O'Neill; Robert D Stewart
Journal:  Radiat Res       Date:  2013-05-17       Impact factor: 2.841

8.  Gene Ontology Consortium: going forward.

Authors: 
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 19.160

9.  NASA GeneLab: interfaces for the exploration of space omics data.

Authors:  Daniel C Berrios; Jonathan Galazka; Kirill Grigorev; Samrawit Gebre; Sylvain V Costes
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

View more
  2 in total

Review 1.  Do solar cycles explain the emergence of COVID-19? Neutron count comparison between the solar minima of 2008-2009 and 2019-2020.

Authors:  Tomoko Bell
Journal:  Curr Opin Environ Sci Health       Date:  2022-01-25

Review 2.  Cancer Studies under Space Conditions: Finding Answers Abroad.

Authors:  José Luis Cortés-Sánchez; Jonas Callant; Marcus Krüger; Jayashree Sahana; Armin Kraus; Bjorn Baselet; Manfred Infanger; Sarah Baatout; Daniela Grimm
Journal:  Biomedicines       Date:  2021-12-23
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.