AIMC Topic: Embryonic Stem Cells
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Optogenetic neural spheroids excite primary neural network.
Journal of neural engineering
Jun 26, 2025
Optical stimulation ofneurons requires prior transfection with light gated ion channels. This additional step brings complexity and requires optimization. Simplification of the process will ease the undertaking of studies on biological neural network...
EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
The advancements of single-cell RNA sequencing (scRNA-seq) technologies have provided us unprecedented opportunities to characterize cellular states and investigate the mechanisms of complex diseases. Due to technical issues such as dropout events, s...
Machine learning based CRISPR gRNA design for therapeutic exon skipping.
PLoS computational biology
Jan 8, 2021
Restoring gene function by the induced skipping of deleterious exons has been shown to be effective for treating genetic disorders. However, many of the clinically successful therapies for exon skipping are transient oligonucleotide-based treatments ...
Neuronal differentiation strategies: insights from single-cell sequencing and machine learning.
Development (Cambridge, England)
Dec 8, 2020
Neuronal replacement therapies rely on the differentiation of specific cell types from embryonic or induced pluripotent stem cells, or on the direct reprogramming of differentiated adult cells via the expression of transcription factors or signaling...
Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model.
Human cell
Oct 12, 2020
The use of human induced pluripotent stem cells (iPSCs), used as an alternative to human embryonic stem cells (ESCs), is a potential solution to challenges, such as immune rejection, and does not involve the ethical issues concerning the use of ESCs ...
Neuromuscular actuation of biohybrid motile bots.
Proceedings of the National Academy of Sciences of the United States of America
Sep 16, 2019
The integration of muscle cells with soft robotics in recent years has led to the development of biohybrid machines capable of untethered locomotion. A major frontier that currently remains unexplored is neuronal actuation and control of such muscle-...
Kinetics of -induced gene silencing can be predicted from combinations of epigenetic and genomic features.
Genome research
Jun 7, 2019
To initiate X-Chromosome inactivation (XCI), the long noncoding RNA mediates chromosome-wide gene silencing of one X Chromosome in female mammals to equalize gene dosage between the sexes. The efficiency of gene silencing is highly variable across g...
DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning.
BMC bioinformatics
Dec 31, 2018
BACKGROUND: N6-methyladensine (m6A) is a common and abundant RNA methylation modification found in various species. As a type of post-transcriptional methylation, m6A plays an important role in diverse RNA activities such as alternative splicing, an ...
Multiparameter mechanical and morphometric screening of cells.
Scientific reports
Dec 2, 2016
We introduce a label-free method to rapidly phenotype and classify cells purely based on physical properties. We extract 15 biophysical parameters from cells as they deform in a microfluidic stretching flow field via high-speed microscopy and apply m...
Gene expression classification using epigenetic features and DNA sequence composition in the human embryonic stem cell line H1.
Gene
Jul 25, 2016
Epigenetic factors are known to correlate with gene expression in the existing studies. However, quantitative models that accurately classify the highly and lowly expressed genes based on epigenetic factors are currently lacking. In this study, a new...
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