Literature DB >> 32915637

At the dawn of the transcriptomic medicine.

Gea Koks1, Abigail L Pfaff2,3, Vivien J Bubb4, John P Quinn4, Sulev Koks2,3.   

Abstract

Progress in genomic analytical technologies has improved our possibilities to obtain information regarding DNA, RNA, and their dynamic changes that occur over time or in response to specific challenges. This information describes the blueprint for cells, tissues, and organisms and has fundamental importance for all living organisms. This review focuses on the technological challenges to analyze the transcriptome and what is the impact of transcriptomics on precision medicine. The transcriptome is a term that covers all RNA present in cells and a substantial part of it will never be translated into protein but is nevertheless functional in determining cell phenotype. Recent developments in transcriptomics have challenged the fundamentals of the central dogma of biology by providing evidence of pervasive transcription of the genome. Such massive transcriptional activity is challenging the definition of a gene and especially the term "pseudogene" that has now been demonstrated in many examples to be both transcribed and translated. We also review the common sources of biomaterials for transcriptomics and justify the suitability of whole blood RNA as the current optimal analyte for clinical transcriptomics. At the end of the review, a brief overview of the clinical implications of transcriptomics in clinical trial design and clinical diagnosis is given. Finally, we introduce the transcriptome as a target for modern drug development as a tool for extending our capacity for precision medicine in multiple diseases.

Entities:  

Keywords:  RNA-Seq; Transcriptome; gene expression profiling; genomics; molecular targeted therapy; precision medicine

Mesh:

Substances:

Year:  2020        PMID: 32915637      PMCID: PMC7876640          DOI: 10.1177/1535370220954788

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  52 in total

1.  Large-scale transcriptional activity in chromosomes 21 and 22.

Authors:  Philipp Kapranov; Simon E Cawley; Jorg Drenkow; Stefan Bekiranov; Robert L Strausberg; Stephen P A Fodor; Thomas R Gingeras
Journal:  Science       Date:  2002-05-03       Impact factor: 47.728

2.  Accurate predictions of postmortem interval using linear regression analyses of gene meter expression data.

Authors:  M Colby Hunter; Alex E Pozhitkov; Peter A Noble
Journal:  Forensic Sci Int       Date:  2017-03-04       Impact factor: 2.395

3.  Deleterious effects of formalin-fixation and delays to fixation on RNA and miRNA-Seq profiles.

Authors:  Wendell Jones; Sarah Greytak; Hana Odeh; Ping Guan; Jason Powers; Jasmin Bavarva; Helen M Moore
Journal:  Sci Rep       Date:  2019-05-06       Impact factor: 4.379

4.  Wfs1 gene deletion causes growth retardation in mice and interferes with the growth hormone pathway.

Authors:  S Kõks; U Soomets; J L Paya-Cano; C Fernandes; H Luuk; M Plaas; A Terasmaa; V Tillmann; K Noormets; E Vasar; L C Schalkwyk
Journal:  Physiol Genomics       Date:  2009-03-17       Impact factor: 3.107

Review 5.  Precision Medicine through Antisense Oligonucleotide-Mediated Exon Skipping.

Authors:  Dunhui Li; Frank L Mastaglia; Sue Fletcher; Steve D Wilton
Journal:  Trends Pharmacol Sci       Date:  2018-09-30       Impact factor: 14.819

6.  A screen for genes induced in the amygdaloid area during cat odor exposure.

Authors:  S Kõks; H Luuk; A Nelovkov; T Areda; E Vasar
Journal:  Genes Brain Behav       Date:  2004-04       Impact factor: 3.449

7.  Interpretation of knockout experiments: the congenic footprint.

Authors:  L C Schalkwyk; C Fernandes; M W Nash; K Kurrikoff; E Vasar; S Kõks
Journal:  Genes Brain Behav       Date:  2007-02-26       Impact factor: 3.449

8.  High-Resolution Analysis of Coronavirus Gene Expression by RNA Sequencing and Ribosome Profiling.

Authors:  Nerea Irigoyen; Andrew E Firth; Joshua D Jones; Betty Y-W Chung; Stuart G Siddell; Ian Brierley
Journal:  PLoS Pathog       Date:  2016-02-26       Impact factor: 6.823

9.  Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow.

Authors:  Dominik Buschmann; Anna Haberberger; Benedikt Kirchner; Melanie Spornraft; Irmgard Riedmaier; Gustav Schelling; Michael W Pfaffl
Journal:  Nucleic Acids Res       Date:  2016-06-17       Impact factor: 16.971

10.  The Urinary Transcriptome as a Source of Biomarkers for Prostate Cancer.

Authors:  Carla Solé; Ibai Goicoechea; Alai Goñi; Maike Schramm; María Armesto; María Arestin; Lorea Manterola; Maitena Tellaetxe; Aitor Alberdi; Leonor Nogueira; Mathieu Roumiguie; Jose Ignacio López; Juan Pablo Sanz Jaka; Ander Urruticoechea; Itziar Vergara; Ana Loizaga-Iriarte; Miguel Unda; Arkaitz Carracedo; Bernard Malavaud; Charles H Lawrie
Journal:  Cancers (Basel)       Date:  2020-02-22       Impact factor: 6.639

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  1 in total

1.  Expression Quantitative Trait Loci (eQTLs) Associated with Retrotransposons Demonstrate their Modulatory Effect on the Transcriptome.

Authors:  Sulev Koks; Abigail L Pfaff; Vivien J Bubb; John P Quinn
Journal:  Int J Mol Sci       Date:  2021-06-12       Impact factor: 5.923

  1 in total

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