Literature DB >> 31270560

Exploring the dark genome: implications for precision medicine.

Tudor I Oprea1,2,3,4.   

Abstract

The increase in the number of both patients and healthcare practitioners who grew up using the Internet and computers (so-called "digital natives") is likely to impact the practice of precision medicine, and requires novel platforms for data integration and mining, as well as contextualized information retrieval. The "Illuminating the Druggable Genome Knowledge Management Center" (IDG KMC) quantifies data availability from a wide range of chemical, biological, and clinical resources, and has developed platforms that can be used to navigate understudied proteins (the "dark genome"), and their potential contribution to specific pathologies. Using the "Target Importance and Novelty Explorer" (TIN-X) highlights the role of LRRC10 (a dark gene) in dilated cardiomyopathy. Combining mouse and human phenotype data leads to increased strength of evidence, which is discussed for four additional dark genes: SLX4IP and its role in glucose metabolism, the role of HSF2BP in coronary artery disease, the involvement of ELFN1 in attention-deficit hyperactivity disorder and the role of VPS13D in mouse neural tube development and its confirmed role in childhood onset movement disorders. The workflow and tools described here are aimed at guiding further experimental research, particularly within the context of precision medicine.

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Year:  2019        PMID: 31270560      PMCID: PMC6836689          DOI: 10.1007/s00335-019-09809-0

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  62 in total

1.  The Protein Data Bank.

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Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

Review 4.  A guide to drug discovery: Target selection in drug discovery.

Authors:  Jonathan Knowles; Gianni Gromo
Journal:  Nat Rev Drug Discov       Date:  2003-01       Impact factor: 84.694

Review 5.  Monogenic hypercholesterolemia: new insights in pathogenesis and treatment.

Authors:  Daniel J Rader; Jonathan Cohen; Helen H Hobbs
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Review 6.  Diversity of protein-protein interactions.

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Journal:  EMBO J       Date:  2003-07-15       Impact factor: 11.598

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Authors:  Andrew L Hopkins; Colin R Groom
Journal:  Nat Rev Drug Discov       Date:  2002-09       Impact factor: 84.694

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Authors:  Philip J Hajduk; Jeffrey R Huth; Christin Tse
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9.  Analysis of the human VPS13 gene family.

Authors:  Antonio Velayos-Baeza; Andrea Vettori; Richard R Copley; Carol Dobson-Stone; A P Monaco
Journal:  Genomics       Date:  2004-09       Impact factor: 5.736

10.  Mutations in PCSK9 cause autosomal dominant hypercholesterolemia.

Authors:  Marianne Abifadel; Mathilde Varret; Jean-Pierre Rabès; Delphine Allard; Khadija Ouguerram; Martine Devillers; Corinne Cruaud; Suzanne Benjannet; Louise Wickham; Danièle Erlich; Aurélie Derré; Ludovic Villéger; Michel Farnier; Isabel Beucler; Eric Bruckert; Jean Chambaz; Bernard Chanu; Jean-Michel Lecerf; Gerald Luc; Philippe Moulin; Jean Weissenbach; Annick Prat; Michel Krempf; Claudine Junien; Nabil G Seidah; Catherine Boileau
Journal:  Nat Genet       Date:  2003-06       Impact factor: 38.330

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  7 in total

1.  How to Illuminate the Druggable Genome Using Pharos.

Authors:  Timothy Sheils; Stephen L Mathias; Vishal B Siramshetty; Giovanni Bocci; Cristian G Bologa; Jeremy J Yang; Anna Waller; Noel Southall; Dac-Trung Nguyen; Tudor I Oprea
Journal:  Curr Protoc Bioinformatics       Date:  2020-03

2.  The dark genome and pleiotropy: challenges for precision medicine.

Authors:  Steve D M Brown; Heena V Lad
Journal:  Mamm Genome       Date:  2019-08       Impact factor: 2.957

3.  UniProt: the universal protein knowledgebase in 2021.

Authors: 
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

4.  LAMA: automated image analysis for the developmental phenotyping of mouse embryos.

Authors:  Neil R Horner; Shanmugasundaram Venkataraman; Chris Armit; Ramón Casero; James M Brown; Michael D Wong; Matthijs C van Eede; R Mark Henkelman; Sara Johnson; Lydia Teboul; Sara Wells; Steve D Brown; Henrik Westerberg; Ann-Marie Mallon
Journal:  Development       Date:  2021-03-24       Impact factor: 6.862

Review 5.  Lemur Tyrosine Kinases and Prostate Cancer: A Literature Review.

Authors:  Elena Ferrari; Valeria Naponelli; Saverio Bettuzzi
Journal:  Int J Mol Sci       Date:  2021-05-21       Impact factor: 5.923

6.  TCRD and Pharos 2021: mining the human proteome for disease biology.

Authors:  Timothy K Sheils; Stephen L Mathias; Keith J Kelleher; Vishal B Siramshetty; Dac-Trung Nguyen; Cristian G Bologa; Lars Juhl Jensen; Dušica Vidović; Amar Koleti; Stephan C Schürer; Anna Waller; Jeremy J Yang; Jayme Holmes; Giovanni Bocci; Noel Southall; Poorva Dharkar; Ewy Mathé; Anton Simeonov; Tudor I Oprea
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

7.  DeepREAL: A Deep Learning Powered Multi-scale Modeling Framework for Predicting Out-of-distribution Ligand-induced GPCR Activity.

Authors:  Tian Cai; Kyra Alyssa Abbu; Yang Liu; Lei Xie
Journal:  Bioinformatics       Date:  2022-03-11       Impact factor: 6.931

  7 in total

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