Institution
University of Virginia
Education•Charlottesville, Virginia, United States•
About: University of Virginia is a education organization based out in Charlottesville, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52543 authors who have published 113268 publications receiving 5220506 citations. The organization is also known as: U of V & UVa.
Topics: Population, Poison control, Galaxy, Health care, Star formation
Papers published on a yearly basis
Papers
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TL;DR: Developing a calibrated biosensor that measures forces across specific proteins in cells with piconewton (pN) sensitivity reveals that FA stabilization under force requires both vinculin recruitment and force transmission, and that, surprisingly, these processes can be controlled independently.
Abstract: Mechanical forces are central to developmental, physiological and pathological processes. However, limited understanding of force transmission within sub-cellular structures is a major obstacle to unravelling molecular mechanisms. Here we describe the development of a calibrated biosensor that measures forces across specific proteins in cells with piconewton (pN) sensitivity, as demonstrated by single molecule fluorescence force spectroscopy. The method is applied to vinculin, a protein that connects integrins to actin filaments and whose recruitment to focal adhesions (FAs) is force-dependent. We show that tension across vinculin in stable FAs is approximately 2.5 pN and that vinculin recruitment to FAs and force transmission across vinculin are regulated separately. Highest tension across vinculin is associated with adhesion assembly and enlargement. Conversely, vinculin is under low force in disassembling or sliding FAs at the trailing edge of migrating cells. Furthermore, vinculin is required for stabilizing adhesions under force. Together, these data reveal that FA stabilization under force requires both vinculin recruitment and force transmission, and that, surprisingly, these processes can be controlled independently.
1,320 citations
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TL;DR: The ASRA consensus statements represent the collective experience of recognized experts in the field of neuraxial anesthesia and anticoagulation and are based on case reports, clinical series, pharmacology, hematology, and risk factors for surgical bleeding.
1,319 citations
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Duke University1, University of North Carolina at Chapel Hill2, University of Pittsburgh3, Vanderbilt University4, University of South Florida5, University of Virginia6, Memorial Sloan Kettering Cancer Center7, St. Elizabeth's Medical Center8, Virginia Mason Medical Center9, Johns Hopkins University10, Medical College of Wisconsin11, University of Chicago12, Stanford University13, Amgen14, University of California, Los Angeles15
TL;DR: A randomized clinical trial to test the hypothesis that recombinant methionyl granulocyte colony-stimulating factor (G-CSF) can reduce chemotherapy-related neutropenia in patients with cancer and the clinical implications.
Abstract: Background. Neutropenia and infection are major dose-limiting side effects of chemotherapy. Previous studies have suggested that recombinant methionyl granulocyte colony-stimulating factor (G-CSF) can reduce chemotherapy-related neutropenia in patients with cancer. We conducted a randomized clinical trial to test this hypothesis and the clinical implications. Methods. Patients with small-cell lung cancer were enrolled in a multicenter, randomized, double-blind, placebo-controlled trial of recombinant methionyl G-CSF to study the incidence of infection as manifested by fever with neutropenia (absolute neutrophil count, <1.0×l09 per liter, with a temperature ≥38.2°C) resulting from up to six cycles of chemotherapy with cyclophosphamide, doxorubicin, and etoposide. The patients were randomly assigned to receive either placebo or G-CSF, with treatment beginning on day 4 and continuing through day 17 of a 21 -day cycle. Results. The safety of the study treatment could be evaluated in 207 of the 211 pa...
1,314 citations
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TL;DR: This explanatory document aims to facilitate the use, understanding, and dissemination of the checklist and contains a clarification of the meaning, rationale, and optimal use of each item on the checklist.
Abstract: The quality of reporting of studies of diagnostic accuracy is less than optimal. Complete and accurate reporting is necessary to enable readers to assess the potential for bias in the study and to evaluate the generalisability of the results. A group of scientists and editors has developed the STARD (Standards for Reporting of Diagnostic Accuracy) statement to improve the reporting the quality of reporting of studies of diagnostic accuracy. The statement consists of a checklist of 25 items and flow diagram that authors can use to ensure that all relevant information is present. This explanatory document aims to facilitate the use, understanding and dissemination of the checklist. The document contains a clarification of the meaning, rationale and optimal use of each item on the checklist, as well as a short summary of the available evidence on bias and applicability. The STARD statement, checklist, flowchart and this explanation and elaboration document should be useful resources to improve reporting of diagnostic accuracy studies. Complete and informative reporting can only lead to better decisions in healthcare.
1,309 citations
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TL;DR: Comprehensive genomic profiling data in this study provide insight into nivolumab's mechanism of action and reveal expansion of T cell clones in the setting of neoantigen loss.
1,308 citations
Authors
Showing all 53083 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joan Massagué | 189 | 408 | 149951 |
Michael Rutter | 188 | 676 | 151592 |
Gordon B. Mills | 187 | 1273 | 186451 |
Ralph Weissleder | 184 | 1160 | 142508 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Jie Zhang | 178 | 4857 | 221720 |
John R. Yates | 177 | 1036 | 129029 |
John A. Rogers | 177 | 1341 | 127390 |
Bradley Cox | 169 | 2150 | 156200 |
Mika Kivimäki | 166 | 1515 | 141468 |
Hongfang Liu | 166 | 2356 | 156290 |
Carl W. Cotman | 165 | 809 | 105323 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Elio Riboli | 158 | 1136 | 110499 |
Dan R. Littman | 157 | 426 | 107164 |