scispace - formally typeset
Search or ask a question
Institution

University of Alabama at Birmingham

EducationBirmingham, Alabama, United States
About: University of Alabama at Birmingham is a education organization based out in Birmingham, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38523 authors who have published 86775 publications receiving 3930642 citations. The organization is also known as: UAB & The University of Alabama at Birmingham.


Papers
More filters
Journal ArticleDOI
Haidong Wang1, Timothy M. Wolock1, Austin Carter1, Grant Nguyen1  +497 moreInstitutions (214)
TL;DR: This report provides national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015.

522 citations

Journal ArticleDOI
19 Nov 1999-Science
TL;DR: Un Uncoupling of the cGKIalpha-MBS interaction prevents cGMP-dependent dephosphorylation of myosin light chain, demonstrating that this interaction is essential to the regulation of vascular smooth muscle cell tone.
Abstract: Contraction and relaxation of smooth muscle are regulated by myosin light-chain kinase and myosin phosphatase through phosphorylation and dephosphorylation of myosin light chains. Cyclic guanosine monophosphate (cGMP)–dependent protein kinase Iα (cGKIα) mediates physiologic relaxation of vascular smooth muscle in response to nitric oxide and cGMP. It is shown here that cGKIα is targeted to the smooth muscle cell contractile apparatus by a leucine zipper interaction with the myosin-binding subunit (MBS) of myosin phosphatase. Uncoupling of the cGKIα-MBS interaction prevents cGMP-dependent dephosphorylation of myosin light chain, demonstrating that this interaction is essential to the regulation of vascular smooth muscle cell tone.

522 citations

Journal ArticleDOI
TL;DR: The current understanding of the properties of exhausted T cells and the mechanisms that promote and maintain this state are discussed and methods that prevent and rejuvenate functionally inferior responses are developed.
Abstract: Summary T-cell exhaustion is characterized by the stepwise and progressive loss of T-cell functions and can culminate in the physical deletion of the responding cells. Exhaustion is well-defined during chronic lymphocytic choriomeningitis virus infection and commonly develops under conditions of antigen-persistence, which occur following many chronic infections that are of significant public health concern including hepatitis B virus, hepatitis C virus and human immunodeficiency virus infections, as well as during tumour outgrowth. Exhaustion is not a uniformly disabled setting as a gradation of phenotypic and functional defects can manifest, and these cells are distinct from prototypic effector, memory and also anergic T cells. We are gaining insights into the extrinsic and intrinsic factors that determine the severity of exhaustion. These include the duration and magnitude of antigenic activation, availability of CD4 T-cell help, the levels of stimulatory and suppressive cytokines, as well as the expression of activatory and inhibitory receptors. More information is now becoming available regarding the molecular mechanisms that attenuate the responsiveness of exhausted T cells. As the parameters that dictate exhaustion are more thoroughly defined, this is fostering the development of methods that prevent and rejuvenate functionally inferior responses. In this article we discuss our current understanding of the properties of exhausted T cells and the mechanisms that promote and maintain this state.

522 citations

Journal ArticleDOI
Ron Do1, Ron Do2, Nathan O. Stitziel3, Hong-Hee Won2, Hong-Hee Won1, Anders Berg Jørgensen4, Stefano Duga5, Pier Angelica Merlini, Adam Kiezun1, Martin Farrall6, Anuj Goel6, Or Zuk1, Illaria Guella5, Rosanna Asselta5, Leslie A. Lange7, Gina M. Peloso2, Gina M. Peloso1, Paul L. Auer8, Domenico Girelli9, Nicola Martinelli9, Deborah N. Farlow1, Mark A. DePristo1, Robert Roberts10, Alex Stewart10, Danish Saleheen11, John Danesh11, Stephen E. Epstein12, Suthesh Sivapalaratnam13, G. Kees Hovingh13, John J.P. Kastelein13, Nilesh J. Samani14, Heribert Schunkert15, Jeanette Erdmann16, Svati H. Shah17, William E. Kraus17, Robert W. Davies10, Majid Nikpay10, Christopher T. Johansen18, Jian Wang18, Robert A. Hegele18, Eliana Hechter1, Winfried März19, Winfried März20, Winfried März21, Marcus E. Kleber21, Jie Huang, Andrew D. Johnson22, Mingyao Li23, Greg L. Burke24, Myron D. Gross25, Yongmei Liu26, Themistocles L. Assimes27, Gerardo Heiss7, Ethan M. Lange7, Aaron R. Folsom25, Herman A. Taylor28, Oliviero Olivieri9, Anders Hamsten29, Robert Clarke6, Dermot F. Reilly30, Wu Yin30, Manuel A. Rivas6, Peter Donnelly6, Jacques E. Rossouw22, Bruce M. Psaty31, Bruce M. Psaty32, David M. Herrington26, James G. Wilson28, Stephen S. Rich33, Michael J. Bamshad31, Russell P. Tracy34, L. Adrienne Cupples35, Daniel J. Rader23, Muredach P. Reilly23, John A. Spertus36, Sharon Cresci3, Jaana Hartiala37, W.H. Wilson Tang38, Stanley L. Hazen38, Hooman Allayee37, Alexander P. Reiner31, Alexander P. Reiner8, Christopher S. Carlson8, Charles Kooperberg8, Rebecca D. Jackson39, Eric Boerwinkle40, Eric S. Lander1, Stephen M. Schwartz31, Stephen M. Schwartz8, David S. Siscovick31, Ruth McPherson10, Anne Tybjærg-Hansen4, Gonçalo R. Abecasis41, Hugh Watkins6, Deborah A. Nickerson31, Diego Ardissino, Shamil R. Sunyaev2, Shamil R. Sunyaev1, Christopher J. O'Donnell, David Altshuler1, David Altshuler2, Stacey Gabriel1, Sekar Kathiresan2, Sekar Kathiresan1 
05 Feb 2015-Nature
TL;DR: Kathiresan et al. as mentioned in this paper used exome sequencing of nearly 10,000 people to identify alleles associated with early-onset myocardial infarction; mutations in low-density lipoprotein receptor (LDLR) or apolipoprotein A-V (APOA5) were associated with disease risk.
Abstract: Exome sequence analysis of nearly 10,000 people was carried out to identify alleles associated with early-onset myocardial infarction; mutations in low-density lipoprotein receptor (LDLR) or apolipoprotein A-V (APOA5) were associated with disease risk, identifying the key roles of low-density lipoprotein cholesterol and metabolism of triglyceride-rich lipoproteins. Sekar Kathiresan and colleagues use exome sequencing of nearly 10,000 people to probe the contribution of multiple rare mutations within a gene to risk for myocardial infarction at a population level. They find that mutations in low-density lipoprotein receptor (LDLR) or apolipoprotein A-V (APOA5) are associated with disease risk. When compared with non-carriers, LDLR mutation carriers had higher plasma levels of LDL cholesterol, whereas APOA5 mutation carriers had higher plasma levels of triglycerides. As well as confirming that APOA5 is a myocardial infarction gene, this work informs the design and conduct of rare-variant association studies for complex diseases. Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance1,2. When MI occurs early in life, genetic inheritance is a major component to risk1. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families3,4,5,6,7,8, whereas common variants at more than 45 loci have been associated with MI risk in the population9,10,11,12,13,14,15. Here we evaluate how rare mutations contribute to early-onset MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (≤50 years in males and ≤60 years in females) along with MI-free controls. We identified two genes in which rare coding-sequence mutations were more frequent in MI cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare non-synonymous mutations were at 4.2-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). Approximately 2% of early MI cases harbour a rare, damaging mutation in LDLR; this estimate is similar to one made more than 40 years ago using an analysis of total cholesterol16. Among controls, about 1 in 217 carried an LDLR coding-sequence mutation and had plasma LDL cholesterol > 190 mg dl−1. At apolipoprotein A-V (APOA5), carriers of rare non-synonymous mutations were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol, whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding-sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase15,17 and apolipoprotein C-III (refs 18, 19). Combined, these observations suggest that, as well as LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk.

521 citations

Journal ArticleDOI
26 Sep 1986-Cell
TL;DR: The C.B-17scid mutation may adversely affect the recombinase system catalyzing the assembly of antigen receptor genes in developing B and T lymphocytes.

521 citations


Authors

Showing all 38940 results

NameH-indexPapersCitations
Rudolf Jaenisch206606178436
Joel Schwartz1831149109985
Tadamitsu Kishimoto1811067130860
Jasvinder A. Singh1762382223370
Gregg L. Semenza168502130316
David R. Jacobs1651262113892
Hua Zhang1631503116769
David R. Holmes1611624114187
David Cella1561258106402
Elaine S. Jaffe156828112412
Michael A. Matthay15199898687
Lawrence Corey14677378105
Barton F. Haynes14491179014
Douglas D. Richman14263382806
Kjell Fuxe142147989846
Network Information
Related Institutions (5)
University of Pittsburgh
201K papers, 9.6M citations

98% related

University of California, San Francisco
186.2K papers, 12M citations

98% related

National Institutes of Health
297.8K papers, 21.3M citations

97% related

Brigham and Women's Hospital
110.5K papers, 6.8M citations

97% related

University of North Carolina at Chapel Hill
185.3K papers, 9.9M citations

97% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023168
2022530
20215,327
20205,028
20194,402
20184,083