AIMC Topic: Cell Differentiation

Clear Filters Showing 101 to 110 of 139 articles

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

Brain : a journal of neurology
SLC35A2 encodes a uridine diphosphate (UDP)-galactose transporter essential for glycosylation of proteins and galactosylation of lipids and glycosaminoglycans. Germline genetic SLC35A2 variants have been identified in congenital disorders of glycosyl...

A New Insight in Cellular and Molecular Signaling Regulation for Neural Differentiation Program.

Molecular neurobiology
Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerative diseases such as Alzheimer's and Parkinson's disease, autoimmune disorders like Multiple sclerosis, seizure disorders such as Epilepsy, and neurop...

Sensitive Detection and Identification Method of Erythrocyte-like Cells upon Doxorubicin Induced Differentiation with Vibrational Techniques.

Analytical chemistry
Altered differentiation of blood cell precursors and their clonal expansion occurs in various types of leukemia. One treatment strategy is to induce differentiation into the mature form, which is capable of undergoing apoptosis. It has been found tha...

Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.

JCI insight
Resistance to chemotherapy of pancreatic ductal adenocarcinoma (PDAC) is largely driven by intratumoral heterogeneity (ITH) due to tumor cell plasticity and clonal diversity. To develop alternative strategies to overcome this defined mechanism of res...

Temporally discordant chromatin accessibility and DNA demethylation define short- and long-term enhancer regulation during cell fate specification.

Cell reports
Chromatin and DNA modifications mediate the transcriptional activity of lineage-specifying enhancers, but recent work challenges the dogma that joint chromatin accessibility and DNA demethylation are prerequisites for transcription. To understand thi...

SCIG: Machine learning uncovers cell identity genes in single cells by genetic sequence codes.

Nucleic acids research
Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and cell identity dysregulation involving diseases. Here, we introduce SCIG, a machine-learning method to uncover cell identity genes in single cells. In a...

AI-guided laser purification of human iPSC-derived cardiomyocytes for next-generation cardiac cell manufacturing.

Communications biology
Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered by batch-to-batch variability and inefficient purification processes. Here, we introduce CM-AI, a no...

What insights can spatiotemporal esophageal atlases and deep learning bring to engineering the esophageal mucosa?

Developmental cell
In this issue of Developmental Cell, Yang et al. present an integrated experimental and computational platform that maps the spatiotemporal development of the human esophagus and predicts key signaling pathways governing epithelial differentiation. T...

FateNet: an integration of dynamical systems and deep learning for cell fate prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Understanding cellular decision-making, particularly its timing and impact on the biological system such as tissue health and function, is a fundamental challenge in biology and medicine. Existing methods for inferring fate decisions and ...

Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy Image.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Live cell staining is expensive and may bring potential safety issues in downstream clinical applications, bright-field images rather than staining images should be more suitable to reveal time-series changes of differentiating hiPSCs (human induced ...