scispace - formally typeset
Search or ask a question
Institution

University of Massachusetts Medical School

EducationWorcester, Massachusetts, United States
About: University of Massachusetts Medical School is a education organization based out in Worcester, Massachusetts, United States. It is known for research contribution in the topics: Population & Health care. The organization has 16161 authors who have published 31822 publications receiving 1909739 citations. The organization is also known as: UMass Medical School.


Papers
More filters
Journal ArticleDOI
TL;DR: The malignant hyperthermia clinical grading scale is recommended for use as an aid to the objective definition of this disease and may improve malignanthyperthermia research by allowing comparisons among well-defined groups of patients.
Abstract: Background:The diagnosis of an acute malignant hyperthermia reaction by clinical criteria can be difficult because of the nonspecific nature and variable incidence of many of the clinical signs and laboratory findings. Development of a standardized means for estimating the qualitative likelihood of

494 citations

Journal ArticleDOI
04 Sep 2014-Nature
TL;DR: An eIF4A RNA helicase-dependent mechanism of translational control that contributes to oncogenesis and underlies the anticancer effects of silvestrol and related compounds is reported.
Abstract: The translational control of oncoprotein expression is implicated in many cancers. Here we report an eIF4A RNA helicase-dependent mechanism of translational control that contributes to oncogenesis and underlies the anticancer effects of silvestrol and related compounds. For example, eIF4A promotes T-cell acute lymphoblastic leukaemia development in vivo and is required for leukaemia maintenance. Accordingly, inhibition of eIF4A with silvestrol has powerful therapeutic effects against murine and human leukaemic cells in vitro and in vivo. We use transcriptome-scale ribosome footprinting to identify the hallmarks of eIF4A-dependent transcripts. These include 5′ untranslated region (UTR) sequences such as the 12-nucleotide guanine quartet (CGG)4 motif that can form RNA G-quadruplex structures. Notably, among the most eIF4A-dependent and silvestrol-sensitive transcripts are a number of oncogenes, superenhancer-associated transcription factors, and epigenetic regulators. Hence, the 5′ UTRs of select cancer genes harbour a targetable requirement for the eIF4A RNA helicase. The translation of many messenger RNAs that encode important oncogenes and transcription factors depends on the eIF4A RNA helicase to resolve G-quadruplex structures, implying eIF4A inhibition as an effective cancer therapy. The expression of some oncoproteins is regulated at the translational level. Hans-Guido Wendel and colleagues show that a subset of oncoprotein- and transcription factor-encoding mRNAs that are dependent on the translation initiation factor eIF4A contain a G-quadruplex-forming structure in their 5′ untranslated regions. These findings explain why silvestrol, a plant-derived anticancer agent that targets eIF4A-dependent translation, is not generally toxic but can be well tolerated except in cancer cells which are dependent on the activities of these proteins. In a separate study in this issue, Stephan Vagner and colleagues show that inhibition of eIF4F cooperates with BRAF inhibitors in reducing the growth of melanomas linked to BRAF mutations.

493 citations

Journal ArticleDOI
23 Oct 1987-Cell
TL;DR: The results show that the expression of cell adhesion receptors is susceptible to pretranslational and posttranslational regulation by factors that control cell morphology, proliferation, and differentiation such as TGF-beta.

493 citations

Journal ArticleDOI
TL;DR: It is demonstrated that lauric acid activates TLR2 dimers as well as TLR4 for which respective bacterial agonists require acylated fatty acids, whereas DHA inhibits the activation of all TLRs tested.

493 citations

Journal ArticleDOI
TL;DR: The studies establish a mechanism for BMP morphogens to selectively induce a tissue-specific phenotype and suppress alternative lineages by down-regulating multiple miRNAs that constitute an osteogenic program, thereby releasing from inhibition pathway components required for cell lineage commitment.
Abstract: Bone morphogenetic proteins (BMPs) are potent morphogens that activate transcriptional programs for lineage determination. How BMP induction of a phenotype is coordinated with microRNAs (miRNAs) that inhibit biological pathways to control cell differentiation, remains unknown. Here, we show by profiling miRNAs during BMP2 induced osteogenesis of C2C12 mesenchymal cells, that 22 of 25 miRNAs which significantly changed in response to BMP2 are down-regulated. These miRNAs are each predicted to target components of multiple osteogenic pathways. We characterize two representative miRNAs and show that miR-133 directly targets Runx2, an early BMP response gene essential for bone formation, and miR-135 targets Smad5, a key transducer of the BMP2 osteogenic signal, controlled through their 3′UTR sequences. Both miRNAs functionally inhibit differentiation of osteoprogenitors by attenuating Runx2 and Smad5 pathways that synergistically contribute to bone formation. Although miR-133 is known to promote MEF-2-dependent myogenesis, we have identified a second complementary function to inhibit Runx2-mediated osteogenesis. Our key finding is that BMP2 controls bone cell determination by inducing miRNAs that target muscle genes but mainly by down-regulating multiple miRNAs that constitute an osteogenic program, thereby releasing from inhibition pathway components required for cell lineage commitment. Thus, our studies establish a mechanism for BMP morphogens to selectively induce a tissue-specific phenotype and suppress alternative lineages.

493 citations


Authors

Showing all 16331 results

NameH-indexPapersCitations
Michael Karin236704226485
Richard A. Flavell2311328205119
Robert M. Califf1961561167961
Eric J. Topol1931373151025
Joan Massagué189408149951
Stuart H. Orkin186715112182
Ramachandran S. Vasan1721100138108
Mark Gerstein168751149578
David R. Jacobs1651262113892
Bruce L. Miller1631153115975
Yuh Nung Jan16246074818
Christopher J. O'Donnell159869126278
David W. Bates1591239116698
Adi F. Gazdar157776104116
John E. Morley154137797021
Network Information
Related Institutions (5)
National Institutes of Health
297.8K papers, 21.3M citations

97% related

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

97% related

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

96% related

Emory University
122.4K papers, 6M citations

96% related

Yale University
220.6K papers, 12.8M citations

95% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202341
2022241
20212,038
20201,960
20191,734
20181,653