AIMC Topic: Human Embryonic Stem Cells

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Robotic high-throughput biomanufacturing and functional differentiation of human pluripotent stem cells.

Stem cell reports Dec 2, 2021
Efficient translation of human induced pluripotent stem cells (hiPSCs) requires scalable cell manufacturing strategies for optimal self-renewal and functional differentiation. Traditional manual cell culture is variable and labor intensive, posing ch...
Hepatocytes Myocytes, Cardiac Automation Robotics Cell Differentiation Neurons Cell Lineage Induced Pluripotent Stem Cells Human Embryonic Stem Cells Embryoid Bodies Zika Virus Infection Reference Standards Cell Culture Techniques Humans Cells, Cultured Single-Cell Analysis RNA-Seq
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A two-stream convolutional neural network for microRNA transcription start site feature integration and identification.

Scientific reports Mar 11, 2021
MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation and phenotype development. Understanding the regulation of miRNA genes is critical to understand gene regulation. One of the challenges to study miRNA gene regulation is ...
Humans Neural Networks, Computer Algorithms Transcription Initiation Site Human Embryonic Stem Cells Cell Line Reproducibility of Results MicroRNAs Deep Learning Base Sequence Computational Biology
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Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network.

Reproductive toxicology (Elmsford, N.Y.) Nov 26, 2020
The use of models of stem cell differentiation to trophoblastic cells provides an effective perspective for understanding the early molecular events in the establishment and maintenance of human pregnancy. In combination with the newly developed deep...
Phenotype Cell Differentiation Gene Expression Regulation Humans Neural Networks, Computer Cells, Cultured Human Embryonic Stem Cells Bone Morphogenetic Protein 4 Trophoblasts Microscopy, Phase-Contrast
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DeephESC 2.0: Deep Generative Multi Adversarial Networks for improving the classification of hESC.

PloS one Mar 6, 2019
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for numerous potential applications. They have great promise in the treatment of diseases such as Parkinson's, Huntington's, diabetes mellitus, etc. hESC ...
Cells, Cultured Image Processing, Computer-Assisted Video Recording Signal-To-Noise Ratio Human Embryonic Stem Cells Intravital Microscopy Humans Neural Networks, Computer Machine Learning
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EP-DNN: A Deep Neural Network-Based Global Enhancer Prediction Algorithm.

Scientific reports Dec 8, 2016
We present EP-DNN, a protocol for predicting enhancers based on chromatin features, in different cell types. Specifically, we use a deep neural network (DNN)-based architecture to extract enhancer signatures in a representative human embryonic stem c...
Humans Neural Networks, Computer Algorithms Chromatin Human Embryonic Stem Cells Lung Computational Biology Enhancer Elements, Genetic
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Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

Nucleic acids research Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Chromatin Chromatin Assembly and Disassembly Human Embryonic Stem Cells Cell Line, Tumor Histones Protein Binding Binding Sites DNA Hep G2 Cells Transcription Factors Primary Cell Culture CD4-Positive T-Lymphocytes Cell Line Humans Hepatocytes Gene Expression Regulation Principal Component Analysis Machine Learning Organ Specificity Algorithms K562 Cells
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Multivariate Calibration Approach for Quantitative Determination of Cell-Line Cross Contamination by Intact Cell Mass Spectrometry and Artificial Neural Networks.

PloS one Jan 28, 2016
Cross-contamination of eukaryotic cell lines used in biomedical research represents a highly relevant problem. Analysis of repetitive DNA sequences, such as Short Tandem Repeats (STR), or Simple Sequence Repeats (SSR), is a widely accepted, simple, a...
Principal Component Analysis Mice Humans Mass Spectrometry Multivariate Analysis Coculture Techniques Neural Networks, Computer Cell Line Calibration Specimen Handling Animals Human Embryonic Stem Cells
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[Challenges to Improve the Prediction Accuracy of the Non-clinical Tests for Human CNS Adverse Effects: Potentials of Artificial Intelligence and Human ESC/iPSC-derived Neurons].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
Animal Testing Alternatives Artificial Intelligence Induced Pluripotent Stem Cells Drug Discovery Humans Human Embryonic Stem Cells Cell Differentiation Central Nervous System Agents Drug Evaluation, Preclinical Neuroimaging Neurons
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