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852 results for “Neural Stem Cell”
Human-mouse syntenic Long Range Interactions in Neural Stem Cells
<p>This repository contains the list of human DNA regions corresponding to long-range interactions in RNA polII-mediated long-range interactions in mouse. They are named human-mouse syntenic Long Range Interactions (hmsLRI) and were obtained via synteny from mouse neonatal forebrain stem cells. They were also annotated for their overlap with DNA sequence variants (SNPs; CNVs) associated with human neurodevelopmental disease (NDD). The lists of genes identified via inferred that are potentially involved in NDD, eye-development, and traits (schizophrenia, bipolar disorder, intelligence).</p> <p>This is a resource for exploring the potential of the non-coding regions of DNA, the largest part of the genome (~98%), in NDD. Indeed, despite the numerous NDD-causative genes identified, only 42% of patients with severe developmental disorders carry pathogenic <em>de novo</em> mutations within coding sequences. More than a half of patient could be diagnosed and treated with further research and technologies, one option is studying the non-coding genome and how alterations affect genes. </p> <p>Tracks for visualization onto UCSC Genome Browser and WashU, are also provided.<br> See README for more details. </p> <p>The peer-reviewed publication for this dataset has now been published in International Journal of Molecular Science, available OA at: <a href="https://www.mdpi.com/1422-0067/23/14/7964">https://www.mdpi.com/1422-0067/23/14/7964</a>. Please cite this when using the dataset.</p>
Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network
<p>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 learning technology, the automated identification of this process can greatly accelerate the contribution to relevant knowledge. Based on the transfer learning technique, we used a convolutional neural network to distinguish the microscopic images of Embryonic stem cells (ESCs) from differentiated trophoblasts -like cells (TBL). To tackle the problem of insufficient training data, the strategies of data augmentation were used. The results showed that the convolutional neural network could successfully recognize trophoblast cells and stem cells automatically, but could not distinguish TBL from the immortalized trophoblast cell lines in vitro (JEG-3 and HTR8-SVneo). We compare the recognition effect of the commonly used convolutional neural network, including DenseNet, VGG16, VGG19, InceptionV3, and Xception. This study extends the deep learning technique to trophoblast cell phenotype classification and paves the way for automatic bright-field microscopic image analysis of trophoblast cells in the future.</p>
Rapid and Accurate Identification of Stem Cell Differentiation Stages via SERS and Convolutional Neural Networks
<p><a name="OLE_LINK2"></a><span>Monitoring the transition of cell states during induced pluripotent stem cell (iPSC) differentiation is crucial for clinical medicine and basic research. However, both identification category and prediction accuracy need further improvement. Here, we propose a method combining Surface-Enhanced Raman spectroscopy (SERS) with convolutional neural networks (CNN) to precisely identify and distinguish cell states during stem cell differentiation. First, mitochondria-targeted probes were synthesized by combining AuNRs and mitochondrial localization signal (MLS) peptides to obtain effective and stable SERS spectra signals at various stages of cell differentiation. Then, the SERS spectra served as input datasets, and their distinctive features were learned and distinguished by CNN. As a result, rapid and accurate identification of six different cell states, including the embryoid body (EB) stage, was successfully achieved throughout the stem cell differentiation process with an impressive prediction accuracy of 98.5%. Furthermore, the impact of different spectral feature peaks on the identification results was investigated, which provides a valuable reference for selecting appropriate spectral bands to identify cell states. This is also beneficial for shortening the spectral acquisition region to enhance spectral acquisition speed. These results suggest the potential for SERS-CNN models in quality monitoring of stem cells, advancing the practical applications of stem cells.</span></p>
Supplementary materials of Brain Extract of Subacute Traumatic Brain Injury Promotes Neuronal Differentiation of Human Neural Stem Cells Via Autophagy
<p>Figure S1: Characterization of hNSCs. In proliferate medium, the embryo derived hNSCs could form the neurospheres (A). Markers of NSCs (NES, SOX2, SOX1) were detected (B). The SOX2<sup>+</sup> cells accounted for >95% of all cells (C). Bar scale: 60μm;</p> <p>Figure S2: The proliferation of hNSCs in TBI brain extracts with different phases. Differentiated hNSCs could be labeled with EdU in TBI brain extracts with different phases (A). Ratio of EdU<sup>+</sup> cells was decreased with the progression of days post-injury (B). Bar scale: 75μm; ****: P<0.0001;</p> <p>Figure S3: The GO annotations and KEGG pathway analysis of different expressed pro-teins in acute brain extract and subacute brain extract;</p> <p>Table S1: The protein profiles of brain extract in acute phase and subacute phase after TBI.</p>
Sequence tracks of Ago2 Neural stem cells and differentiated neurons from single-cells- Related to Fig. 5
<p>Single neural stem cells were isolated from the Hippocampus of newborn mice generated from a hybrid cross. Some of these cells were differentiated In vitro and either the NSC or differentiated neurons were lysed and underwent a reverse transcription. The newly formed cDNA was used as a template to amplify expressed Ago2 transcript which was then sent off for Sanger sequencing. A SNP located within the exon was used to determine whether the transcript from that cell was generated from the maternal or paternal allele.</p>
Pregnancy-Responsive Pools of Adult Neural Stem Cells For Transient Neurogenesis in Mothers
<p>These are the RDS objects of the resulting files from our analyses, converted to Spatial Experiment object. These files can be loaded into spatialLIBD directly to allow interactive exploration of the data locally.</p> <p>In the new version of the dataset, we included the high resolution .tiff images of all of the samples. Furthermore, we included the low resolution (lowres) output from the spaceranger for the researchers who want to use these files. Higher resolution images (hires) were previously shared in the GEO submission alongside the raw sequencing data.</p>
A Study To Evaluate the Safety and Efficacy of Human Neural Stem Cells for Parkinson's Disease Patient
ClinicalTrials.gov study NCT03128450. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Intrathecal Administration of Autologous Mesenchymal Stem Cell-derived Neural Progenitors (MSC-NP) in Progressive Multiple Sclerosis
ClinicalTrials.gov study NCT03355365. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Neural Stem Cell Based Virotherapy of Newly Diagnosed Malignant Glioma
ClinicalTrials.gov study NCT03072134. IPD Sharing: NO. Countries: 1. Publications: 8.
Data from: Glial ferritin maintains neural stem cells via transporting iron required for self-renewal in Drosophila
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Neural priming of adipose-derived stem cells by cell-imprinted substrates
<p>Raw data and figure evaluation scripts for the manuscript <strong>Neural Priming of Adipose-Derived Stem Cells by Cell-Imprinted Substrates</strong></p>
RT PCR data for publication Transplantation of neural stem cells improves recovery of stroke affected mice and induces cell-specific changes in GSDMD and MLKL expression
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Repeated Neural Stem Cell Based Virotherapy for Newly Diagnosed High Grade Glioma
ClinicalTrials.gov study NCT06169280. IPD Sharing: NO. Countries: 1. Publications: 5.
Safety Study of Human Neural Stem Cells Injections for Secondary Progressive Multiple Sclerosis Patients
ClinicalTrials.gov study NCT03282760. IPD Sharing: YES. Countries: 2. Publications: 7.
Use of Mesenchymal Stem Cells (MSCs) Differentiated Into Neural Stem Cells (NSCs) in People With Parkinson's (PD).
ClinicalTrials.gov study NCT03684122. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study to Evaluate the Safety of Neural Stem Cells in Patients With Parkinson's Disease
ClinicalTrials.gov study NCT02452723. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Neural Stem Cell Transplantation in Multiple Sclerosis Patients
ClinicalTrials.gov study NCT03269071. IPD Sharing: NO. Countries: 1. Publications: 6.
Intracerebral Transplantation of Neural Stem Cells for the Treatment of Ischemic Stroke
ClinicalTrials.gov study NCT03296618. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Intermittent Energy Restriction and Chewing on Neural Stem Cell Ageing and Adult Hippocampal Neurogenesis Associated Cognition
ClinicalTrials.gov study NCT03457870. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Human Spinal Cord Derived Neural Stem Cell Transplantation for the Treatment of Amyotrophic Lateral Sclerosis
ClinicalTrials.gov study NCT01348451. IPD Sharing: Not stated. Countries: 1. Publications: 7.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.