51 results match your criteria: "Systems Biology Center New York[Affiliation]"

-Mutant Cardiomyocyte Model of Multifocal Atrial Tachycardia.

Circ Arrhythm Electrophysiol

April 2024

Mindich Child Health & Development Institute (N.A.R., N.P., S.N., A.G.A., M.R., B.D.G.), Icahn School of Medicine at Mount Sinai, New York, NY.

Background: Germline gain-of-function pathogenic variants cause Costello syndrome (CS). During early childhood, 50% of patients develop multifocal atrial tachycardia, a treatment-resistant tachyarrhythmia of unknown pathogenesis. This study investigated how overactive HRAS activity triggers arrhythmogenesis in atrial-like cardiomyocytes (ACMs) derived from human-induced pluripotent stem cells bearing CS-associated variants.

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Kinase inhibitors (KIs) represent an important class of anti-cancer drugs. Although cardiotoxicity is a serious adverse event associated with several KIs, the reasons remain poorly understood, and its prediction remains challenging. We obtain transcriptional profiles of human heart-derived primary cardiomyocyte like cell lines treated with a panel of 26 FDA-approved KIs and classify their effects on subcellular pathways and processes.

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Geometric principles of second messenger dynamics in dendritic spines.

Sci Rep

August 2019

Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, 92093-0411, CA, United States.

Dendritic spines are small, bulbous protrusions along dendrites in neurons and play a critical role in synaptic transmission. Dendritic spines come in a variety of shapes that depend on their developmental state. Additionally, roughly 14-19% of mature spines have a specialized endoplasmic reticulum called the spine apparatus.

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The ability to predict responsiveness to drugs in individual patients is limited. We hypothesized that integrating molecular information from databases would yield predictions that could be experimentally tested to develop transcriptomic signatures for specific drugs. We analyzed lung adenocarcinoma patient data from The Cancer Genome Atlas and identified a subset of patients in which xanthine dehydrogenase (XDH) expression correlated with decreased survival.

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Dynamic balance between vesicle transport and microtubule growth enables neurite outgrowth.

PLoS Comput Biol

May 2019

Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.

Whole cell responses involve multiple subcellular processes (SCPs). To understand how balance between SCPs controls the dynamics of whole cell responses we studied neurite outgrowth in rat primary cortical neurons in culture. We used a combination of dynamical models and experiments to understand the conditions that permitted growth at a specified velocity and when aberrant growth could lead to the formation of dystrophic bulbs.

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Individual cells in clonal populations often respond differently to environmental changes; for binary phenotypes, such as cell death, this can be measured as a fractional response. These types of responses have been attributed to cell-intrinsic stochastic processes and variable abundances of biochemical constituents, such as proteins, but the influence of organelles is still under investigation. We use the response to TNF-related apoptosis inducing ligand (TRAIL) and a new statistical framework for determining parameter influence on cell-to-cell variability through the inference of variance explained, DEPICTIVE, to demonstrate that variable mitochondria abundance correlates with cell survival and determines the fractional cell death response.

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Systems biology primer: the basic methods and approaches.

Essays Biochem

October 2018

Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, U.S.A.

Systems biology is an integrative discipline connecting the molecular components within a single biological scale and also among different scales (e.g. cells, tissues and organ systems) to physiological functions and organismal phenotypes through quantitative reasoning, computational models and high-throughput experimental technologies.

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Feedback control of pluripotency in embryonic stem cells: Signaling, transcription and epigenetics.

Stem Cell Res

May 2018

Department of Regenerative and Developmental Biology, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA; Black Family Stem Cell Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Pharmacology and System Therapeutics, Mount Sinai School of Medicine, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA.

Article Synopsis
  • Embryonic stem cells (ESCs) are capable of unlimited proliferation and self-renewal while maintaining their pluripotent state in lab conditions, supported by a complex regulatory network called the pluripotency gene regulatory network (PGRN).
  • Despite extensive research, the precise structure and order of regulatory interactions within the PGRN remain unclear, with many components influencing each other through feedback circuits.
  • The article examines potential organizational features of the PGRN, highlighting feedback control loops in mouse ESCs and their role in enabling the network to adapt to environmental changes.
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Cell shape information is transduced through tension-independent mechanisms.

Nat Commun

December 2017

Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.

The shape of a cell within tissues can represent the history of chemical and physical signals that it encounters, but can information from cell shape regulate cellular phenotype independently? Using optimal control theory to constrain reaction-diffusion schemes that are dependent on different surface-to-volume relationships, we find that information from cell shape can be resolved from mechanical signals. We used microfabricated 3-D biomimetic chips to validate predictions that shape-sensing occurs in a tension-independent manner through integrin β signaling pathway in human kidney podocytes and smooth muscle cells. Differential proteomics and functional ablation assays indicate that integrin β is critical in transduction of shape signals through ezrin-radixin-moesin (ERM) family.

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Using a gelatin microbial transglutaminase (gelatin-mTG) cell culture platform tuned to exhibit stiffness spanning that of healthy and diseased glomeruli, we demonstrate that kidney podocytes show marked stiffness sensitivity. Podocyte-specific markers that are critical in the formation of the renal filtration barrier are found to be regulated in association with stiffness-mediated cellular behaviors. While podocytes typically de-differentiate in culture and show diminished physiological function in nephropathies characterized by altered tissue stiffness, we show that gelatin-mTG substrates with Young's modulus near that of healthy glomeruli elicit a pro-differentiation and maturation response in podocytes better than substrates either softer or stiffer.

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Emerging Modeling Concepts and Solutions in Stem Cell Research.

Curr Top Dev Biol

December 2016

Department of Regenerative and Developmental Biology, Icahn School of Medicine at Mount Sinai, New York, USA; Black Family Stem Cell Institute, Mount Sinai School of Medicine, New York, USA; Department of Pharmacology and System Therapeutics, Mount Sinai School of Medicine, Systems Biology Center New York, New York, USA. Electronic address:

Article Synopsis
  • Modern stem cell research increasingly integrates quantitative sciences, like bioinformatics and biostatistics, to identify factors crucial for differentiation and drug discovery.
  • Understanding differentiation and reprogramming requires both qualitative and quantitative models to grasp complex biological systems, though current models often yield modest predictions.
  • The review discusses popular models related to stem cell behavior and anticipates new insights from computational modeling in the future.
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MEDICINE. Personalization in practice.

Science

October 2015

Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

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Single-Cell Analyses of ESCs Reveal Alternative Pluripotent Cell States and Molecular Mechanisms that Control Self-Renewal.

Stem Cell Reports

August 2015

Department of Regenerative and Developmental Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA. Electronic address:

Analyses of gene expression in single mouse embryonic stem cells (mESCs) cultured in serum and LIF revealed the presence of two distinct cell subpopulations with individual gene expression signatures. Comparisons with published data revealed that cells in the first subpopulation are phenotypically similar to cells isolated from the inner cell mass (ICM). In contrast, cells in the second subpopulation appear to be more mature.

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A number of genetic mutations is associated with cardiomyopathies. A mutation in the coding region of the phospholamban (PLN) gene (R14del) is identified in families with hereditary heart failure. Heterozygous patients exhibit left ventricular dilation and ventricular arrhythmias.

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Good practices for building dynamical models in systems biology.

Sci Signal

April 2015

Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Dynamic models can offer deep understanding of information processing mechanisms in physiology, cell signaling, and biological regulation when they are appropriately detailed. Here, we describe some of the key aspects of the model-building process, including proper parameterization and error analysis, as well as common mistakes, such as model-tweaking and oversimplification, which can decrease the value of the models.

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Signaling networks: information flow, computation, and decision making.

Cold Spring Harb Perspect Biol

April 2015

Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, New York, New York 10029.

Signaling pathways come together to form networks that connect receptors to many different cellular machines. Such networks not only receive and transmit signals but also process information. The complexity of these networks requires the use of computational models to understand how information is processed and how input-output relationships are determined.

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NetExplore: a web server for modeling small network motifs.

Bioinformatics

June 2015

Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA.

Article Synopsis
  • The study focuses on the importance of analyzing small biological networks, known as network motifs, which typically consist of 3-5 components.
  • A software tool called NetExplore has been developed to generate, classify, and analyze these network motifs, allowing for visualization of various solutions.
  • NetExplore is available for use online and is implemented using Perl-CGI, with access provided through specific web links.
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Histone H3.3 and its proteolytically processed form drive a cellular senescence programme.

Nat Commun

November 2014

1] Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, New York 10029, USA [2] Department of Dermatology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, New York 10029, USA.

The process of cellular senescence generates a repressive chromatin environment, however, the role of histone variants and histone proteolytic cleavage in senescence remains unclear. Here, using models of oncogene-induced and replicative senescence, we report novel histone H3 tail cleavage events mediated by the protease Cathepsin L. We find that cleaved forms of H3 are nucleosomal and the histone variant H3.

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Lean Big Data integration in systems biology and systems pharmacology.

Trends Pharmacol Sci

September 2014

Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York (SBCNY), One Gustave L. Levy Place, Box 1215, New York, NY 10029, USA.

Data sets from recent large-scale projects can be integrated into one unified puzzle that can provide new insights into how drugs and genetic perturbations applied to human cells are linked to whole-organism phenotypes. Data that report how drugs affect the phenotype of human cell lines and how drugs induce changes in gene and protein expression in human cell lines can be combined with knowledge about human disease, side effects induced by drugs, and mouse phenotypes. Such data integration efforts can be achieved through the conversion of data from the various resources into single-node-type networks, gene-set libraries, or multipartite graphs.

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Drug/Cell-line Browser: interactive canvas visualization of cancer drug/cell-line viability assay datasets.

Bioinformatics

November 2014

Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029 and Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA.

Summary: Recently, several high profile studies collected cell viability data from panels of cancer cell lines treated with many drugs applied at different concentrations. Such drug sensitivity data for cancer cell lines provide suggestive treatments for different types and subtypes of cancer. Visualization of these datasets can reveal patterns that may not be obvious by examining the data without such efforts.

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LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.

Nucleic Acids Res

July 2014

Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York (SBCNY), One Gustave L. Levy Place, New York, NY 10029, USA

For the Library of Integrated Network-based Cellular Signatures (LINCS) project many gene expression signatures using the L1000 technology have been produced. The L1000 technology is a cost-effective method to profile gene expression in large scale. LINCS Canvas Browser (LCB) is an interactive HTML5 web-based software application that facilitates querying, browsing and interrogating many of the currently available LINCS L1000 data.

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Absence of strong strain effects in behavioral analyses of Shank3-deficient mice.

Dis Model Mech

June 2014

Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Haploinsufficiency of SHANK3, caused by chromosomal abnormalities or mutations that disrupt one copy of the gene, leads to a neurodevelopmental syndrome called Phelan-McDermid syndrome, symptoms of which can include absent or delayed speech, intellectual disability, neurological changes and autism spectrum disorders. The SHANK3 protein forms a key structural part of the post-synaptic density. We previously generated and characterized mice with a targeted disruption of Shank3 in which exons coding for the ankyrin-repeat domain were deleted and expression of full-length Shank3 was disrupted.

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The characteristic direction: a geometrical approach to identify differentially expressed genes.

BMC Bioinformatics

March 2014

Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York (SBCNY), Icahn School of Medicine at Mount Sinai School, New York, NY 10029, USA.

Background: Identifying differentially expressed genes (DEG) is a fundamental step in studies that perform genome wide expression profiling. Typically, DEG are identified by univariate approaches such as Significance Analysis of Microarrays (SAM) or Linear Models for Microarray Data (LIMMA) for processing cDNA microarrays, and differential gene expression analysis based on the negative binomial distribution (DESeq) or Empirical analysis of Digital Gene Expression data in R (edgeR) for RNA-seq profiling.

Results: Here we present a new geometrical multivariate approach to identify DEG called the Characteristic Direction.

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