Nature Search

Cytokine-induced pseudopodial protrusion is coupled to tumour cell migration

Raouf Guirguis
Inger Margulies
Lance Liotta
Research17 Sept 1987
Nature

Volume: 329, P: 261-263
Gain and loss of function variants in EZH1 disrupt neurogenesis and cause dominant and recessive neurodevelopmental disorders

An apparent redundant role with EZH2 has rendered EZH1 as a secondary player in PRC2-mediated homeostasis regulation. Here, the authors report that gain- and loss-of-function variants in EZH1 cause neurodevelopmental disorders, highlighting its functional relevance.

Carolina Gracia-Diaz
Yijing Zhou
Naiara Akizu
ResearchOpen Access11 Jul 2023
Nature Communications

Volume: 14, P: 1-18
Improving prime editing with an endogenous small RNA-binding protein

Genome-scale genetic screens identify the small RNA-binding protein La as a strong mediator of prime editing.

Jun Yan
Paul Oyler-Castrillo
Britt Adamson
ResearchOpen Access03 Apr 2024
Nature

Volume: 628, P: 639-647
Subtypes of Family History and Conduct Disorder: Effects on P300 During the Stroop Test

Lance O Bauer
Victor M Hesselbrock
Research01 Jul 1999
Neuropsychopharmacology

Volume: 21, P: 51-62
Immunization expands B cells specific to HIV-1 V3 glycan in mice and macaques

The immunogen RC1 facilitates recognition of the V3-glycan patch on the envelope of HIV-1 and elicits specific serological responses in mice and macaques, making it a possible priming immunogen for sequential vaccination strategies in humans.

Amelia Escolano
Harry B. Gristick
Michel C. Nussenzweig
Research29 May 2019
Nature

Volume: 570, P: 468-473
Author Correction: Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

Richard Karlsson Linnér
Travis T. Mallard
Danielle M. Dick
Amendments and Corrections06 Dec 2024
Nature Neuroscience

Volume: 28, P: 213
Loss-of-function mutations in UDP-Glucose 6-Dehydrogenase cause recessive developmental epileptic encephalopathy

UDP-glucuronic acid is a component of the extracellular matrix. Here, the authors report biallelic variants in the gene encoding UDP-Glucose 6-Dehydrogenase (UGDH) in individuals affected by developmental epileptic encephalopathies that impair UGDH stability, oligomerization, or enzymatic activity in vitro.

Holger Hengel
Célia Bosso-Lefèvre
Bruno Reversade
ResearchOpen Access30 Jan 2020
Nature Communications

Volume: 11, P: 1-16
Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

This paper identified >500 genetic loci associated with behaviors and disorders related to self-regulation, including addiction and child behavior problems. The resulting genetic risk scores predict several behavioral, medical and social outcomes.

Richard Karlsson Linnér
Travis T. Mallard
Danielle M. Dick
Research26 Aug 2021
Nature Neuroscience

Volume: 24, P: 1367-1376
Predicting Relapse to Alcohol and Drug Abuse via Quantitative Electroencephalography

Lance O Bauer
Research07 Feb 2001
Neuropsychopharmacology

Volume: 25, P: 332-340
Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach

Sivan Kinreich
Vivia V. McCutcheon
Bernice Porjesz
ResearchOpen Access15 Mar 2021
Translational Psychiatry

Volume: 11, P: 1-10
A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior

Jacquelyn L. Meyers
Jian Zhang
Bernice Porjesz
Research20 May 2020
Molecular Psychiatry

Volume: 26, P: 5040-5052
Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism

Manav Kapoor
Jen-Chyong Wang
Alison Goate
ResearchOpen Access14 Feb 2019
Translational Psychiatry

Volume: 9, P: 1-11
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

Munib Mesinovic
Xin Ci Wong
David Zucman
ResearchOpen Access16 Jul 2024
Scientific Reports

Volume: 14, P: 1-43
Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study

Sivan Kinreich
Jacquelyn L. Meyers
Bernice Porjesz
Research08 Oct 2019
Molecular Psychiatry

Volume: 26, P: 1133-1141
Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk

Peter B. Barr
Travis T. Mallard
Danielle M. Dick
ResearchOpen Access30 Sept 2022
Translational Psychiatry

Volume: 12, P: 1-8
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

Ali Abbas
Sheryl Ann Abdukahil
Luis Felipe Reyes
ResearchOpen Access30 Jul 2022
Scientific Data

Volume: 9, P: 1-22

Search

Cytokine-induced pseudopodial protrusion is coupled to tumour cell migration

Gain and loss of function variants in EZH1 disrupt neurogenesis and cause dominant and recessive neurodevelopmental disorders

Improving prime editing with an endogenous small RNA-binding protein

Subtypes of Family History and Conduct Disorder: Effects on P300 During the Stroop Test

Immunization expands B cells specific to HIV-1 V3 glycan in mice and macaques

Author Correction: Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

Loss-of-function mutations in UDP-Glucose 6-Dehydrogenase cause recessive developmental epileptic encephalopathy

Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

Predicting Relapse to Alcohol and Drug Abuse via Quantitative Electroencephalography

Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach

A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior

Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study

Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

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