Institution
National Institutes of Health
Government•Bethesda, Maryland, United States•
About: National Institutes of Health is a government organization based out in Bethesda, Maryland, United States. It is known for research contribution in the topics: Population & Gene. The organization has 149298 authors who have published 297896 publications receiving 21337431 citations. The organization is also known as: NIH & U.S. National Institutes of Health.
Topics: Population, Gene, Cancer, Receptor, Immune system
Papers published on a yearly basis
Papers
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Stanford University1, California Institute of Technology2, Massachusetts Institute of Technology3, Broad Institute4, University of California, Berkeley5, Harvard University6, Yale University7, Duke University8, University of Washington9, University of Texas at Austin10, University of Chicago11, Pennsylvania State University12, Baylor College of Medicine13, National Institutes of Health14, Ontario Institute for Cancer Research15, University of Massachusetts Medical School16, University of Southern California17, University of North Carolina at Chapel Hill18
TL;DR: This work discusses how ChIP quality, assessed in these ways, affects different uses of ChIP-seq data and develops a set of working standards and guidelines for ChIP experiments that are updated routinely.
Abstract: Chromatin immunoprecipitation (ChIP) followed by high-throughput DNA sequencing (ChIP-seq) has become a valuable and widely used approach for mapping the genomic location of transcription-factor binding and histone modifications in living cells. Despite its widespread use, there are considerable differences in how these experiments are conducted, how the results are scored and evaluated for quality, and how the data and metadata are archived for public use. These practices affect the quality and utility of any global ChIP experiment. Through our experience in performing ChIP-seq experiments, the ENCODE and modENCODE consortia have developed a set of working standards and guidelines for ChIP experiments that are updated routinely. The current guidelines address antibody validation, experimental replication, sequencing depth, data and metadata reporting, and data quality assessment. We discuss how ChIP quality, assessed in these ways, affects different uses of ChIP-seq data. All data sets used in the analysis have been deposited for public viewing and downloading at the ENCODE (http://encodeproject.org/ENCODE/) and modENCODE (http://www.modencode.org/) portals.
1,801 citations
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1,799 citations
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TL;DR: The existence of adult heart-derived cardiac progenitor cells expressing stem cell antigen-1.5 is reported, and differentiation was shown to occur roughly equally, with and without fusion to host cells.
Abstract: Potential repair by cell grafting or mobilizing endogenous cells holds particular attraction in heart disease, where the meager capacity for cardiomyocyte proliferation likely contributes to the irreversibility of heart failure. Whether cardiac progenitors exist in adult myocardium itself is unanswered, as is the question whether undifferentiated cardiac precursor cells merely fuse with preexisting myocytes. Here we report the existence of adult heart-derived cardiac progenitor cells expressing stem cell antigen-1. Initially, the cells express neither cardiac structural genes nor Nkx2.5 but differentiate in vitro in response to 5′-azacytidine, in part depending on Bmpr1a, a receptor for bone morphogenetic proteins. Given intravenously after ischemia/reperfusion, cardiac stem cell antigen 1 cells home to injured myocardium. By using a Cre/Lox donor/recipient pair (αMHC-Cre/R26R), differentiation was shown to occur roughly equally, with and without fusion to host cells.
1,799 citations
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Saint Louis University1, University of California, San Diego2, Virginia Commonwealth University3, Columbia University4, Johns Hopkins University5, Duke University6, Indiana University – Purdue University Indianapolis7, Case Western Reserve University8, University of California, San Francisco9, Virginia Mason Medical Center10, Cleveland Clinic11, Washington University in St. Louis12, National Institutes of Health13
TL;DR: Obeticholic acid improved the histological features of non-alcoholic steatohepatitis, but its long-term benefits and safety need further clarification.
1,798 citations
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TL;DR: A slowly evolving, long-term, experience-dependent reorganization of the adult Ml is suggested, which may underlie the acquisition and retention of the motor skill.
Abstract: Performance of complex motor tasks, such as rapid sequences of finger movements, can be improved in terms of speed and accuracy over several weeks by daily practice sessions. This improvement does not generalize to a matched sequence of identical component movements, nor to the contralateral hand. Here we report a study of the neural changes underlying this learning using functional magnetic resonance imaging (MRI) of local blood oxygenation level-dependent (BOLD) signals evoked in primary motor cortex (M1). Before training, a comparable extent of M1 was activated by both sequences. However, two ordering effects were observed: repeating a sequence within a brief time window initially resulted in a smaller area of activation (habituation), but later in larger area of activation (enhancement), suggesting a switch in M1 processing mode within the first session (fast learning). By week 4 of training, concurrent with asymptotic performance, the extent of cortex activated by the practised sequence enlarged compared with the unpractised sequence, irrespective of order (slow learning). These changes persisted for several months. The results suggest a slowly evolving, long-term, experience-dependent reorganization of the adult M1, which may underlie the acquisition and retention of the motor skill.
1,798 citations
Authors
Showing all 149386 results
Name | H-index | Papers | Citations |
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Walter C. Willett | 334 | 2399 | 413322 |
Eric S. Lander | 301 | 826 | 525976 |
Robert Langer | 281 | 2324 | 326306 |
Meir J. Stampfer | 277 | 1414 | 283776 |
JoAnn E. Manson | 270 | 1819 | 258509 |
Albert Hofman | 267 | 2530 | 321405 |
Frank B. Hu | 250 | 1675 | 253464 |
Paul M. Ridker | 233 | 1242 | 245097 |
Solomon H. Snyder | 232 | 1222 | 200444 |
Salim Yusuf | 231 | 1439 | 252912 |
Eugene Braunwald | 230 | 1711 | 264576 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Steven A. Rosenberg | 218 | 1204 | 199262 |
Yi Chen | 217 | 4342 | 293080 |