AIMC Topic: Induced Pluripotent Stem Cells

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Silencing of optogenetic and chemogenetic transgenes in human iPSCs involves promoter methylation and methylation-independent mechanisms.

Epigenetics
The transplantation of neural progenitor cells derived from induced pluripotent stem cells (iPSCs) has therapeutic potential for the treatment of neurological diseases. However, the functional integration of transplanted iPSC-derived neurons into hos...

Deep Learning-Decoded Raman Spectroscopy for Hour-Scale iPSC Pluripotency Assessment via Lipid-Protein Biomarkers.

Analytical chemistry
Rapid and label-free evaluation of induced pluripotent stem cell (iPSC) pluripotency is critical for advancing regenerative medicine and clinical applications. Although traditional genomics- and proteomics-based pluripotency assessment methods are re...

Neural network tissue and myocytes co-culture system reveals effects of different myocytes on postnatal development of spinal cord neural network.

Cellular and molecular life sciences : CMLS
The interaction between spinal cord neural networks and myocytes in postnatal mammals plays a crucial role in development, and the neural regulation of motor and visceral functions. Here, spinal cord neural network tissue (SC-NNT) was constructed wit...

Co-cultured sensory neuron classification using extracellular electrophysiology and machine learning approaches for enhancing analgesic screening.

Journal of neural engineering
Chronic pain affects over 20% of the adult population in the United States, posing a substantial personal as well as economic burden and contributing to the ongoing opioid crisis. Effective, non-addictive chronic pain treatments are urgently needed. ...

Natural lithium isotope variations in serum after lithium administration as a novel biomarker for differentiating schizophrenia and bipolar disorder.

Translational psychiatry
Accurate differentiation of schizophrenia (SZ) and bipolar disorder (BD) is crucial for effective clinical management. However, current diagnostic methods, which rely heavily on subjective assessments, are prone to high rates of misdiagnosis. This st...

Neural xenografts contribute to long-term recovery in stroke via molecular graft-host crosstalk.

Nature communications
Stroke remains a leading cause of disability due to the brain's limited ability to regenerate damaged neural circuits. Here, we show that local transplantation of iPSC-derived neural progenitor cells (NPCs) improves brain repair and long-term functio...

Utility of the continuous spectrum formed by pathological states in characterizing disease properties.

NPJ systems biology and applications
Understanding diseases as the result of continuous transitions from a healthy system is more realistic than understanding them as discrete states. Here, we designed the spectrum formation approach (SFA), a machine learning-based method that extracts ...

Human iPSC-derived spinal neural progenitors enhance sensorimotor recovery in spinal cord-injured NOD-SCID mice via differentiation and microenvironment regulation.

Cell death & disease
Spinal cord injury (SCI) remains a significant clinical challenge and poses a dramatic threat to the life quality of patients due to limited neural regeneration and detrimental post-injury alternations in tissue microenvironment. We developed a thera...

Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications
Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o...

Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

Scientific reports
The reproducibility and robustness of many directed differentiation protocols from human induced pluripotent stem cells (hiPSCs) remain low, and the long differentiation induction period significantly limits protocol optimization. To address this, we...