N
Nathan Goodman
Researcher at Institute for Systems Biology
Publications - 17
Citations - 1648
Nathan Goodman is an academic researcher from Institute for Systems Biology. The author has contributed to research in topics: Gene & Beta cell. The author has an hindex of 12, co-authored 17 publications receiving 1535 citations. Previous affiliations of Nathan Goodman include Université libre de Bruxelles.
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Journal ArticleDOI
Analysis of genetic inheritance in a family quartet by whole-genome sequencing
Jared C. Roach,Gustavo Glusman,Arian F.A. Smit,Chad D. Huff,Chad D. Huff,Robert Hubley,Paul Shannon,Lee Rowen,Krishna Pant,Nathan Goodman,Michael J. Bamshad,Jay Shendure,Radoje Drmanac,Lynn B. Jorde,Leroy Hood,David J. Galas +15 more
TL;DR: Family-based genome analysis enabled us to narrow the candidate genes for both of these Mendelian disorders to only four and demonstrate the value of complete genome sequencing in families.
Journal ArticleDOI
Detailed transcriptome atlas of the pancreatic beta cell
Burak Kutlu,David B. Burdick,David Baxter,Joanne Rasschaert,Daisy Flamez,Decio L. Eizirik,Nils Welsh,Nathan Goodman,Leroy Hood +8 more
TL;DR: The transcriptome of pancreatic islets is explored and a comprehensive and open access inventory of insulin-producing beta cell gene expression, the Beta Cell Gene Atlas (BCGA) is prepared, which contains basal gene expression level estimates in beta cells as well as in different cell types in human, rat and mouse pancreas.
Journal ArticleDOI
An International Survey-based Algorithm for the Pharmacologic Treatment of Irritability in Huntington's Disease.
Mark Groves,Erik van Duijn,Karen E. Anderson,David Craufurd,Mary Edmondson,Nathan Goodman,Daniel P. van Kammen,LaVonne Goodman +7 more
TL;DR: An algorithm for the treatment of irritability in HD is proposed derived from expert preferences obtained through this survey, which presents survey results, reviews available irritability studies, and proposes an algorithm.
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T1DBase: integration and presentation of complex data for type 1 diabetes research.
Erin M. Hulbert,Luc J. Smink,Ellen C. Adlem,James E. Allen,David B. Burdick,Oliver S. Burren,Christopher C. Cavnor,Geoffrey E. Dolman,Daisy Flamez,Karen F. Friery,Barry C. Healy,Sarah Killcoyne,Burak Kutlu,Helen Schuilenburg,Neil Walker,Josyf C. Mychaleckyj,Decio L. Eizirik,Linda S. Wicker,John A. Todd,Nathan Goodman +19 more
TL;DR: A consolidated T1D-oriented view of the complex data world that now confronts medical researchers and enables scientists to navigate from information they know to information that is new to them is provided.
Journal ArticleDOI
Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference
Miguel Lopes,Burak Kutlu,Michela Miani,Claus Heiner Bang-Berthelsen,Joachim Størling,Flemming Pociot,Nathan Goodman,Lee Hood,Nils Welsh,Gianluca Bontempi,Decio L. Eizirik +10 more
TL;DR: The two most differentially expressed genes previously unknown in T1D literature (RIPK2 and ELF3) were found to modulate cytokine-induced apoptosis, supporting the experimental validation of the inferred regulatory network and providing a proof-of-concept for the proposed statistical inference approach.