AIMC Topic: Cell Differentiation

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Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Clusters of differentiation () are cell surface biomarkers that denote key biological differences between cell types and disease state. CD-targeting therapeutic monoclonal antibodies () afford rich trans-disease repositioning opportunities. Within a ...
Sialic Acid Binding Ig-like Lectin 2 Case-Control Studies Adolescent Child Cell Differentiation Lupus Erythematosus, Systemic Reference Values Antigens, CD20 Cell Adhesion Molecules Aged Ki-1 Antigen Young Adult Adult Humans Male Machine Learning Middle Aged Biomarkers Female
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Acquisition and reconstruction of 4D surfaces of axolotl embryos with the flipping stage robotic microscope.

Bio Systems Oct 25, 2018
We have designed and constructed a Flipping Stage for a light microscope that can view the whole exterior surface of a 2 mm diameter developing axolotl salamander embryo. It works by rapidly inverting the bottom-heavy embryo, imaging it as it rights ...
Neural Plate Embryonic Development Tissue Engineering Embryo, Nonmammalian Animals Ambystoma mexicanum Image Processing, Computer-Assisted Microscopy, Confocal Cell Movement Robotics Cell Differentiation Microscopy
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Regulation of C2C12 Differentiation and Control of the Beating Dynamics of Contractile Cells for a Muscle-Driven Biosyncretic Crawler by Electrical Stimulation.

Soft robotics Oct 18, 2018
Biosyncretic robots have potential advantages associated with both living organisms and electromechanical systems. Skeletal muscle tissue is a candidate as bioactuators for biosyncretic robots because of its excellent contraction force and controllab...
Humans Animals Mice Cell Movement Muscle Contraction Microelectrodes Electric Stimulation Electromagnetic Fields Cell Line, Transformed Muscle, Skeletal Robotics Cell Differentiation Myoblasts Muscle Fibers, Skeletal
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Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells.

Stem cell reports May 10, 2018
Deep learning technology is rapidly advancing and is now used to solve complex problems. Here, we used deep learning in convolutional neural networks to establish an automated method to identify endothelial cells derived from induced pluripotent stem...
Endothelial Cells Induced Pluripotent Stem Cells Machine Learning Animals Deep Learning Mice Cell Differentiation Artificial Intelligence
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Role of α-fetoprotein in differentiation of regulatory T lymphocytes.

Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections Jan 4, 2018
The effect of native α-fetoprotein (AFP) on the expression of T-regulatory lymphocyte (Treg) markers by activated CD4 lymphocytes with different proliferative status was studied. α-Fetoprotein did not affect the ratio of proliferating and non-prolife...
Adult Humans Cell Proliferation Cells, Cultured Cell Differentiation Female alpha-Fetoproteins T-Lymphocytes, Regulatory
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Simvastatin and nanofibrous poly(l-lactic acid) scaffolds to promote the odontogenic potential of dental pulp cells in an inflammatory environment.

Acta biomaterialia Dec 30, 2017
UNLABELLED: In this study, we investigated the anti-inflammatory, odontogenic and pro-angiogenic effects of integrating simvastatin and nanofibrous poly(l-lactic acid) (NF-PLLA) scaffolds on dental pulp cells (DPCs). Highly porous NF-PLLA scaffolds t...
Nanofibers Odontogenesis Polyesters Gene Expression Regulation Inflammation Tissue Scaffolds Signal Transduction Simvastatin Lipopolysaccharides Humans Cytoprotection Dental Pulp Biomarkers Cell Differentiation Young Adult Human Umbilical Vein Endothelial Cells RNA, Messenger Alkaline Phosphatase Mesenchymal Stem Cells Neovascularization, Physiologic
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Indoleamine 2,3-Dioxygenase (IDO) Enzyme Links Innate Immunity and Altered T-Cell Differentiation in Non-ST Segment Elevation Acute Coronary Syndrome.

International journal of molecular sciences Dec 26, 2017
Atherosclerosis is a chronic inflammatory disease characterized by a complex interplay between innate and adaptive immunity. Dendritic cells (DCs) play a key role in T-cell activation and regulation by promoting a tolerogenic environment through the ...
Humans Cells, Cultured Female Aged Aged, 80 and over Indoleamine-Pyrrole 2,3,-Dioxygenase Adult Male Immunity, Innate Middle Aged Non-ST Elevated Myocardial Infarction Dendritic Cells Cell Differentiation Lymphocyte Activation Acute Coronary Syndrome Monocytes T-Lymphocyte Subsets
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Machine Learning of Human Pluripotent Stem Cell-Derived Engineered Cardiac Tissue Contractility for Automated Drug Classification.

Stem cell reports Oct 12, 2017
Accurately predicting cardioactive effects of new molecular entities for therapeutics remains a daunting challenge. Immense research effort has been focused toward creating new screening platforms that utilize human pluripotent stem cell (hPSC)-deriv...
Cells, Cultured Cell Differentiation Drug Evaluation, Preclinical High-Throughput Screening Assays Myocytes, Cardiac Humans Machine Learning Pluripotent Stem Cells Cardiotoxicity Myocardial Contraction
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Prospective identification of hematopoietic lineage choice by deep learning.

Nature methods Feb 20, 2017
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoi...
Trans-Activators Cell Lineage Proto-Oncogene Proteins Hematopoietic Stem Cells Gene Knock-In Techniques Male Image Processing, Computer-Assisted Area Under Curve Cell Differentiation Mice, Mutant Strains Time-Lapse Imaging Neural Networks, Computer Machine Learning Biomarkers Animals
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Impact of chromogranin A, differentiation, and mitoses in nonfunctional pancreatic neuroendocrine tumors ≤ 2 cm.

The Journal of surgical research Dec 29, 2016
BACKGROUND: Small pancreatic neuroendocrine tumors (PNETs) are a unique subset of pancreatic neoplasms. Chromogranin A (CgA) levels, mitotic rate, and histologic differentiation are often used to characterize PNET behavior. This study evaluates the i...
Multivariate Analysis Propensity Score Chromogranin A Mitosis Neuroendocrine Tumors Logistic Models Pancreatic Neoplasms Cell Differentiation Neoplasm Staging Survival Analysis Biomarkers, Tumor Male Middle Aged Adolescent Humans Female Databases, Factual Aged Prognosis Aged, 80 and over Retrospective Studies Young Adult Adult
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