[PDF] Top 20 Single cell sequencing in stem cell biology
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Single cell sequencing in stem cell biology
... in stem cells. Chromatin immu- noprecipitation followed by sequencing (ChIP-seq) is a widely used method for mapping histone modifications at the whole-genome ...a single-cell analysis by ... See full document
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Holo Seq: single cell sequencing of holo transcriptome
... Holo-transcriptome sequencing; kb: Kilobase; MAD: Median absolute deviation; mESC: Mouse embryonic stem cell; miRNA: Micro RNA; mRNA: Messenger RNA; nt: Nucleotide; PCA: Principle component analysis; ... See full document
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Comparative analysis of sequencing technologies for single cell transcriptomics
... on sequencing depth [5], we compared the distribution of reads across single ...The single cells were more deeply sequenced across BGISEQ-500 platform, accounting for slightly in- creased sensitivity ... See full document
8
Recent advances in Drosophila stem cell biology
... of stem cell self-renewal and protectors against selfish DNA ...a single piRNA (3R- TAS1) (Smulders-Srinivasan and Lin, 2003, Yin and Lin, ... See full document
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Mapping human pluripotent stem cell differentiation pathways using high throughput single cell RNA sequencing
... the single-cell gene expression dynamics of each progenitor cell, so we constructed differentiation trajec- tory for each cell type with day 8 EBs ...progenitor cell, including cluster ... See full document
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Drosophila neuroblasts: a model for stem cell biology
... a single progenitor generates different types of neurons throughout mammalian brain ...in cell culture (Gaspard et ...enable cell fate decisions to be maintained during ... See full document
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The application of convolutional neural network to stem cell biology
... both cell loca- tion and ...is cell sorting without molecular labels, mor- phological features are converted to wave data using a random barcode system to classify and sort cells ...classify cell ... See full document
7
Single Cell Proteomics Microchip to Profile Immune Function, with Applications in Stem Cell Biology, Translational Disease Mechanism Study and Clinical Therapeutics Monitoring
... Adoptive cell transfer therapy that utilizes T cells expressing transgenic T cell receptor (TCR) or chimeric antigen receptor (CAR) has demonstrated high objective response rate (>40%) in Phase II ... See full document
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Single-cell RNA sequencing reveals the impact of chromosomal instability on glioblastoma cancer stem cells
... normal stem cells and CSCs, but im- portantly, this gene set may also offer insights into mechanisms that allow CSCs to maintain functional similarity despite a CIN phenotype with continual fluc- tuations in ... See full document
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The single-cell sequencing: new developments and medical applications
... immune cell populations and their relationships ...by single-cell RNA sequencing, revealing two distinct features that distinguish blood and spleen NK ...the biology of NK cells and ... See full document
9
Single-cell RNA-sequencing of the brain
... CEL‑seq: cell expression by linear amplification and sequencing; CNS: central nervous system; COP: committed oligodendrocyte precursors; CPM: counts per million mapped reads; CV: coefficient of variation; ... See full document
14
Single cell RNA sequencing of stem cell derived retinal ganglion cells
... RNA sequencing (RNA-seq) technology has allowed for the rapid quantification of individual gene ...the cell population being studied. Recent developments to isolate single cells, and barcode their ... See full document
9
Stem cell biology meets systems biology
... of stem cell heterogeneity is that stem cells and their descendents are mostly analysed at the population, rather than at the single-cell, ...individual cell identities over ... See full document
6
Single-Cell Epigenomics In Cancer Research
... bisulfite sequencing, both GpC sites (methylated in accessible chromatin regions by MTase) and endogenous CpG methylation sites can be simultaneously analysed, allowing profiling of chromatin accessibility and ... See full document
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A comparison of automatic cell identification methods for single cell RNA sequencing data
... 34 cell popula- tions (18 experiments, see the “Methods” ...major cell types was easy, where almost all classifiers showed high performance ...34 cell populations turned out to be a more challenging ... See full document
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Scalable microfluidics for single cell RNA printing and sequencing
... between cell-identifying ...during cell lysis and RNA capture, any imperfections in sealing and washing could lead to inter-well contamination as dem- onstrated in Figure S3 in Additional file ...both ... See full document
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The stem cell niche: tissue physiology at a single cell level
... quantifying cell types, numbers of those types, levels of gene expression of those types of cells, and correlations of how the products of expression of those genes in those cells alter the outcome of blood ... See full document
7
Sensitivity to sequencing depth in single-cell cancer genomics
... available single-cell whole-genome (scWGS) and whole-exome (scWXS) cancer ...though sequencing depth does indeed contribute to a better refinement of somatic variant characterization from tumor ... See full document
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Splatter: simulation of single cell RNA sequencing data
... Parameters for Splat simulations used in the example evaluation of SC3 were estimated from the Tung dataset. Twenty synthetic datasets were generated using these pa- rameters with different random seeds. Each simulation ... See full document
15
High-resolution single-cell sequencing of malaria parasites.
... In the 48 h blood stage of the malaria lifecycle, parasites are haploid and in the earliest stage of their life cycle contain only a single copy of the genome. By the latest life cycle stage, they harbor 16 copies ... See full document
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