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Steven P. Gygi

Bio: Steven P. Gygi is an academic researcher from Harvard University. The author has contributed to research in topics: Phosphorylation & Proteome. The author has an hindex of 172, co-authored 704 publications receiving 129173 citations. Previous affiliations of Steven P. Gygi include University of Rochester Medical Center & Cell Signaling Technology.


Papers
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TL;DR: It is shown that the chromatin accessibility regulator HMGN1 - which is frequently mutated by amplification in leukemias - acts by blocking myeloid differentiation, and suggested that targeting HM GN1 or its downstream effects on histone acetylation could be therapeutically active in AML.
Abstract: Chromatin organization is a highly orchestrated process that influences gene expression, in part by modulating access of regulatory factors to DNA and nucleosomes. Here, we report that the chromatin accessibility regulator HMGN1, a target of recurrent DNA copy gains in leukemia, controls myeloid differentiation. HMGN1 amplification is associated with increased accessibility, expression, and histone H3K27 acetylation of loci important for hematopoietic stem cells (HSCs) and leukemia, such as HoxA cluster genes. In vivo, HMGN1 overexpression is linked to decreased quiescence and increased HSC activity in bone marrow transplantation. HMGN1 overexpression also cooperates with the AML-ETO9a fusion oncoprotein to impair myeloid differentiation and enhance leukemia stem cell (LSC) activity. Inhibition of histone acetyltransferases CBP/p300 relieves the HMGN1-associated differentiation block. These data nominate factors that modulate chromatin accessibility as regulators of HSCs and LSCs, and suggest that targeting HMGN1 or its downstream effects on histone acetylation could be therapeutically active in AML.

30 citations

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TL;DR: Parallel, comparative analyses of multiple thiol oxidoreductases revealed differences in the functions of their CXXC motifs, providing important insights into thiol-based redox control of cellular processes.

29 citations

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TL;DR: In this paper, the authors combined cycloheximide chase assays with advanced quantitative proteomics to map short-lived proteins under translational inhibition in four human cell lines.

29 citations

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TL;DR: It is shown that, in yeast, ubiquitination regulates a late‐stage, membrane fusion, with proteasomal involvement, and that Ypt7 is one of many Rab GTPases, which may be involved in membrane fusion elsewhere.
Abstract: Ubiquitination is known to regulate early stages of intracellular vesicular transport, without proteasomal involvement. We now show that, in yeast, ubiquitination regulates a late-stage, membrane fusion, with proteasomal involvement. A known proteasome mutant had a vacuolar fragmentation phenotype in vivo often associated with vacuolar membrane fusion defects, suggesting a proteasomal role in fusion. Inhibiting vacuolar proteasomes interfered with membrane fusion in vitro, showing that fusion cannot occur without proteasomal degradation. If so, one would expect to find ubiquitinated proteins on vacuolar membranes. We found a small number of these, identified the most prevalent one as Ypt7 and mapped its two major ubiquitination sites. Ubiquitinated Ypt7 was linked to the degradation event that is necessary for fusion: vacuolar Ypt7 and vacuolar proteasomes were interdependent, ubiquitinated Ypt7 became a proteasomal substrate during fusion, and proteasome inhibitors reduced fusion to greater degree when we decreased Ypt7 ubiquitination. The strongest model holds that fusion cannot proceed without proteasomal degradation of ubiquitinated Ypt7. As Ypt7 is one of many Rab GTPases, ubiquitin–proteasome regulation may be involved in membrane fusion elsewhere.

29 citations

Journal ArticleDOI
TL;DR: A highly conserved middle region of VMS1 is necessary and sufficient for mitochondrial targeting (MTD) and under conditions in which selected mitochondria are damaged, Vms1 is selectively recruited to damaged mitochondria.
Abstract: Mitochondrial dysfunction is associated with the development of many age-related human diseases. Therefore recognizing and correcting the early signs of malfunctioning mitochondria is of critical importance for cellular welfare and survival. We previously demonstrated that VCP/Cdc48-associated mitochondrial stress responsive 1 (Vms1) is a component of a mitochondrial surveillance system that mediates the stress-responsive degradation of mitochondrial proteins by the proteasome. Here we propose novel mechanisms through which Vms1 monitors the status of mitochondria and is recruited to damaged or stressed mitochondria. We find that Vms1 contains a highly conserved region that is necessary and sufficient for mitochondrial targeting (the mitochondrial targeting domain [MTD]). Of interest, MTD-mediated mitochondrial targeting of Vms1 is negatively regulated by a direct interaction with the Vms1 N-terminus. Using laser-induced generation of mitochondrial reactive oxygen species, we also show that Vms1 is preferentially recruited to mitochondria subjected to oxidative stress. These studies define cellular and biochemical mechanisms by which Vms1 locali­zation to mitochondria is controlled to enable an efficient protein quality control system.

29 citations


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Journal ArticleDOI
TL;DR: Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
Abstract: Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.

32,980 citations

28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
23 Jan 2009-Cell
TL;DR: The current understanding of miRNA target recognition in animals is outlined and the widespread impact of miRNAs on both the expression and evolution of protein-coding genes is discussed.

18,036 citations

Journal ArticleDOI
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Abstract: Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

13,246 citations

Journal ArticleDOI
TL;DR: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency.
Abstract: Background: Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader’s ability to evaluate critically the quality of the results presented or to repeat the experiments. Content: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement. Summary: Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.

12,469 citations