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      In Vivo Validation of Alternative FDXR Transcripts in Human Blood in Response to Ionizing Radiation

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          Abstract

          Following cell stress such as ionising radiation (IR) exposure, multiple cellular pathways are activated. We recently demonstrated that ferredoxin reductase (FDXR) has a remarkable IR-induced transcriptional responsiveness in blood. Here, we provided a first comprehensive FDXR variant profile following DNA damage. First, specific quantitative real-time polymerase chain reaction (qPCR) primers were designed to establish dose-responses for eight curated FDXR variants, all up-regulated after IR in a dose-dependent manner. The potential role of gender on the expression of these variants was tested, and neither the variants response to IR nor the background level of expression was profoundly affected; moreover, in vitro induction of inflammation temporarily counteracted IR response early after exposure. Importantly, transcriptional up-regulation of these variants was further confirmed in vivo in blood of radiotherapy patients. Full-length nanopore sequencing was performed to identify other FDXR variants and revealed the high responsiveness of FDXR-201 and FDXR-208. Moreover, FDXR-218 and FDXR-219 showed no detectable endogenous expression, but a clear detection after IR. Overall, we characterised 14 FDXR transcript variants and identified for the first time their response to DNA damage in vivo. Future studies are required to unravel the function of these splicing variants, but they already represent a new class of radiation exposure biomarkers.

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            Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference

            We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
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              UniProt: a worldwide hub of protein knowledge

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              Abstract The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these proteins. These annotations are supplemented by annotations provided by rule based automated systems, and those imported from other resources. In this article we describe significant updates that we have made over the last 2 years to the resource. We have greatly expanded the number of Reference Proteomes that we provide and in particular we have focussed on improving the number of viral Reference Proteomes. The UniProt website has been augmented with new data visualizations for the subcellular localization of proteins as well as their structure and interactions. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.
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                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                23 October 2020
                November 2020
                : 21
                : 21
                : 7851
                Affiliations
                [1 ]Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical & Environmental Hazards, Public Health England, Chilton, Oxfordshire OX11 0RQ, UK; lourdes.cruzgarcia@ 123456phe.gov.uk (L.C.-G.); Grainne.OBrien@ 123456phe.gov.uk (G.O.)
                [2 ]Oxford Nanopore Technologies, Gosling Building, Edmund Halley Way, Oxford OX4 4DQ, UK; Botond.Sipos@ 123456nanoporetech.com (B.S.); Simon.Mayes@ 123456nanoporetech.com (S.M.); Daniel.Turner@ 123456nanoporetech.com (D.J.T.)
                [3 ]Department of Radiobiology, Faculty of Military Health Sciences in Hradec Králové, University of Defence in Brno, 500 01 Hradec Králové, Czech Republic; ales.tichy@ 123456unob.cz
                [4 ]Biomedical Research Centre, Hradec Králové University Hospital, 500 01 Hradec Králové, Czech Republic
                [5 ]Department of Oncology and Radiotherapy and 4th Department of Internal Medicine—Hematology, University Hospital, 500 05 Hradec Králové, Czech Republic; igor.sirak@ 123456fnhk.cz
                [6 ]Department of Radiation Dosimetry, Nuclear Physics Institute of the Czech Academy of Sciences, 180 00 Prague 8, Czech Republic; davidkova@ 123456ujf.cas.cz
                [7 ]Institute of Hematology and Blood Transfusion, 128 00 Praha 2, Czech Republic; marketa.markova@ 123456uhkt.cz
                Author notes
                [* ]Correspondence: christophe.badie@ 123456phe.gov.uk ; Tel.: +44-(0)1235-825-088; Fax: +44-(0)1235-833-891
                Author information
                https://orcid.org/0000-0002-7804-974X
                https://orcid.org/0000-0002-8262-5703
                https://orcid.org/0000-0003-1057-3091
                https://orcid.org/0000-0003-4572-5008
                Article
                ijms-21-07851
                10.3390/ijms21217851
                7660203
                33113898
                8b4eec21-87df-4f45-8b6e-eeabce1f8e4d
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 September 2020
                : 21 October 2020
                Categories
                Article

                Molecular biology
                nanopore sequencing,biodosimetry,fdxr,alternative transcript,splice variants,ionizing radiation,qpcr,gene expression

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