Advertisement

Topics

PubMed Journals Articles About "Neural Cell Types Tied Autism Identified Single Cell" RSS

22:00 EDT 24th June 2019 | BioPortfolio

Neural Cell Types Tied Autism Identified Single Cell PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Neural Cell Types Tied Autism Identified Single Cell articles that have been published worldwide.

More Information about "Neural Cell Types Tied Autism Identified Single Cell" on BioPortfolio

We have published hundreds of Neural Cell Types Tied Autism Identified Single Cell news stories on BioPortfolio along with dozens of Neural Cell Types Tied Autism Identified Single Cell Clinical Trials and PubMed Articles about Neural Cell Types Tied Autism Identified Single Cell for you to read. In addition to the medical data, news and clinical trials, BioPortfolio also has a large collection of Neural Cell Types Tied Autism Identified Single Cell Companies in our database. You can also find out about relevant Neural Cell Types Tied Autism Identified Single Cell Drugs and Medications on this site too.

Showing "Neural Cell Types Tied Autism Identified Single Cell" PubMed Articles 1–25 of 50,000+

Single cell RNA-sequencing: replicability of cell types.

Recent technical advances have enabled transcriptomics experiments at an unprecedented scale, and single-cell profiles from neural tissue are accumulating rapidly. There has been considerable effort to use these profiles to understand cell diversity, primarily through unsupervised clustering and differential expression analysis. However, current practices to validate these findings vary. In this review, we describe recent efforts to evaluate clusters from single-cell RNA-sequencing data, and provide a frame...


Single-Cell Analysis of Regional Differences in Adult V-SVZ Neural Stem Cell Lineages.

The ventricular-subventricular zone (V-SVZ) harbors adult neural stem cells. V-SVZ neural stem cells exhibit features of astrocytes, have a regional identity, and depending on their location in the lateral or septal wall of the lateral ventricle, generate different types of neuronal and glial progeny. We performed large-scale single-cell RNA sequencing to provide a molecular atlas of cells from the lateral and septal adult V-SVZ of male and female mice. This revealed regional and sex differences among adult...

Single-cell RNA-seq Interpretations using Evolutionary Multiobjective Ensemble Pruning.

In recent years, single-cell RNA sequencing enables us to discover cell types or even subtypes. Its increasing availability provides opportunities to identify cell populations from single-cell RNA-seq data. Computational methods have been employed to reveal the gene expression variations among multiple cell populations. Unfortunately, the existing ones can suffer from realistic restrictions such as experimental noises, numerical instability, high dimensionality, and computational scalability.


scMCA: A Tool to Define Mouse Cell Types Based on Single-Cell Digital Expression.

For decades, people have been trying to define cell type with the combination of expressed genes. The choice of the limited number of genes for the classification limits the precision of this system. Here, we build a "single-cell Mouse Cell Atlas (scMCA) analysis" pipeline based on scRNA-seq datasets covering all mouse cell types. We build the scMCA reference and then use the tool "scMCA" to match single-cell digital expression to its closest cell type.

High-Throughput Single-Cell Transcriptome Profiling of Plant Cell Types.

Single-cell transcriptome profiling of heterogeneous tissues can provide high-resolution windows into developmental dynamics and environmental responses, but its application to plants has been limited. Here, we used the high-throughput Drop-seq approach to profile >12,000 cells from Arabidopsis roots. This identified numerous distinct cell types, covering all major root tissues and developmental stages, and illuminated specific marker genes for these populations. In addition, we demonstrate the utility of t...

Rare Cell Type Detection.

High-throughput single-cell technologies have great potential to discover new cell types. Here, we present a novel computational method, called GiniClust (Jiang et al., Genome Biol 17(1):144, 2016), to overcome the challenge of detecting rare cell types that are distinct from a large population.

Single‑cell intratumoral stemness analysis reveals the involvement of cell cycle and DNA damage repair in two different types of esophageal cancer.

Intratumoral heterogeneity, particularly the potential cancer stemness of single cancer cells, has not yet been fully elucidated in human esophageal cancer. Single‑cell transcriptome sequencing of two types of esophageal adenocarcinoma (EAC) and two types of esophageal squamous cell carcinoma (ESCC) tissues was performed, and the intratumoral cancer stemness of the types of esophageal cancer were characterized at the single‑cell level in the present study. By comparing the transcriptomic profiles of sin...

Specification of diverse cell types during early neurogenesis of the mouse cerebellum.

We applied single-cell RNA sequencing to profile genome-wide gene expression in about 9,400 individual cerebellar cells from the mouse embryo at embryonic day 13.5. Reiterative clustering identified the major cerebellar cell types and subpopulations of different lineages. Through pseudotemporal ordering to reconstruct developmental trajectories, we identified novel transcriptional programs controlling cell fate specification of populations arising from the ventricular zone and the rhombic lip, two distinct ...

RNA-seq of Isolated Chromaffin Cells Highlights the Role of Sex-Linked and Imprinted Genes in Adrenal Medulla Development.

Adrenal chromaffin cells and sympathetic neurons synthesize and release catecholamines, and both cell types are derived from neural crest precursors. However, they have different developmental histories, with sympathetic neurons derived directly from neural crest precursors while adrenal chromaffin cells arise from neural crest-derived cells that express Schwann cell markers. We have sought to identify the genes, including imprinted genes, which regulate the development of the two cell types in mice. We dev...

Single-Cell RNA-Sequencing of Peripheral Blood Mononuclear Cells with ddSEQ.

Peripheral blood mononuclear cells (PBMCs) are blood cells that are a critical part of the immune system used to fight off infection. However, due to the complexity of PBMCs, which contain multiple different cell types, studying the function of the individual cell types can be difficult, and often studies rely on bulk measurements. Here, we describe the analysis of PBMCs using single-cell RNA-sequencing in droplets. Data from these studies allow for the identification and quantification of the subpopulation...

Integration of Single-Cell Genomics Datasets.

Welch et al. and Stuart et al. present novel techniques for the integration of single-cell RNA-seq datasets across multiple platforms, individuals, and species. They both extend these strategies to map cell types between RNA-seq datasets with epigenetic properties and in situ transcript profiling. The ability to transfer information between datasets and spatial methods will enable more comprehensive profiling and comparisons of cell populations in complex biological systems.

Ultrafast clustering of single-cell flow cytometry data using FlowGrid.

Flow cytometry is a popular technology for quantitative single-cell profiling of cell surface markers. It enables expression measurement of tens of cell surface protein markers in millions of single cells. It is a powerful tool for discovering cell sub-populations and quantifying cell population heterogeneity. Traditionally, scientists use manual gating to identify cell types, but the process is subjective and is not effective for large multidimensional data. Many clustering algorithms have been developed t...

Single-Cell Tagged Reverse Transcription (STRT-Seq).

Single-cell RNA sequencing (scRNA-seq) has become an established approach to profile entire transcriptomes of individual cells from different cell types, tissues, species, and organisms. Single-cell tagged reverse transcription sequencing (STRT-seq) is one of the early single-cell methods which utilize 5' tag counting of transcripts. STRT-seq performed on microfluidics Fluidigm C1 platform (STRT-C1) is a flexible scRNA-seq approach that allows for accurate, sensitive and importantly molecular counting of tr...

Attentive neural cell instance segmentation.

Neural cell instance segmentation, which aims at joint detection and segmentation of every neural cell in a microscopic image, is essential to many neuroscience applications. The challenge of this task involves cell adhesion, cell distortion, unclear cell contours, low-contrast cell protrusion structures, and background impurities. Consequently, current instance segmentation methods generally fall short of precision. In this paper, we propose an attentive instance segmentation method that accurately predict...

Brain expansion promoted by polycomb-mediated anterior enhancement of a neural stem cell proliferation program.

During central nervous system (CNS) development, genetic programs establish neural stem cells and drive both stem and daughter cell proliferation. However, the prominent anterior expansion of the CNS implies anterior-posterior (A-P) modulation of these programs. In Drosophila, a set of neural stem cell factors acts along the entire A-P axis to establish neural stem cells. Brain expansion results from enhanced stem and daughter cell proliferation, promoted by a Polycomb Group (PcG)->Homeobox (Hox) homeotic n...

Neuronal cell types in the annelid Platynereis dumerilii.

The marine annelid Platynereis dumerilii is an invertebrate laboratory model for developmental biology and neuroscience. Its larval stages are small and transparent, enabling whole-body analyses of cell-type diversity and neuronal circuits. Here, we review the diversity of neuronal cell types in Platynereis. A variety of approaches have been used to identify cell types in Platynereis including whole-body gene expression atlases, single-cell RNA-seq and whole-body connectomics through serial EM reconstructio...

Evolution of neuronal types and families.

Major questions in the evolution of neurons and nervous systems remain unsolved, such as the origin of the first neuron, the possible convergent evolution of neuronal phenotypes, and the transition from a relatively simple decentralized nerve net to the complex, centralized nervous systems found in modern bilaterian animals. In recent years, comparative single-cell transcriptomics has opened up new research avenues addressing these issues. Here, we review recent conceptual progress toward an evolutionary de...

Single-Cell RNA-Seq by Multiple Annealing and Tailing-Based Quantitative Single-Cell RNA-Seq (MATQ-Seq).

Single-cell technologies have emerged as advanced tools to study various biological processes that demand the single cell resolution. To detect subtle heterogeneity in the transcriptome, high accuracy and sensitivity are still desired for single-cell RNA-seq. We describe here multiple annealing and dC-tailing-based quantitative single-cell RNA-seq (MATQ-seq) with ~90% capture efficiency. In addition, MATQ-seq is a total RNA assay allowing for detection of nonpolyadenylated transcripts.

Single-Cell Transcriptomics Analyses of Neural Stem Cell Heterogeneity and Contextual Plasticity in a Zebrafish Brain Model of Amyloid Toxicity.

The neural stem cell (NSC) reservoir can be harnessed for stem cell-based regenerative therapies. Zebrafish remarkably regenerate their brain by inducing NSC plasticity in a Amyloid-β-42 (Aβ42)-induced experimental Alzheimer's disease (AD) model. Interleukin-4 (IL-4) is also critical for AD-induced NSC proliferation. However, the mechanisms of this response have remained unknown. Using single-cell transcriptomics in the adult zebrafish brain, we identify distinct subtypes of NSCs and neurons and different...

Single-nucleus and single-cell transcriptomes compared in matched cortical cell types.

Transcriptomic profiling of complex tissues by single-nucleus RNA-sequencing (snRNA-seq) affords some advantages over single-cell RNA-sequencing (scRNA-seq). snRNA-seq provides less biased cellular coverage, does not appear to suffer cell isolation-based transcriptional artifacts, and can be applied to archived frozen specimens. We used well-matched snRNA-seq and scRNA-seq datasets from mouse visual cortex to compare cell type detection. Although more transcripts are detected in individual whole cells (~11,...

A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data.

Single-cell RNA sequencing (scRNAseq) data always involves various unwanted variables, which would be able to mask the true signal to identify cell-types. More efficient way of dealing with this issue is to extract low dimension information from high dimensional gene expression data to represent cell-type structure. In the past two years, several powerful matrix factorization tools were developed for scRNAseq data, such as NMF, ZIFA, pCMF and ZINB-WaVE. But the existing approaches either are unable to direc...

Alternative polyadenylation of single cells delineates cell types and serves as a prognostic marker in early stage breast cancer.

Alternative polyadenylation (APA) in 3' untranslated regions (3' UTR) plays an important role in regulating transcript abundance, localization, and interaction with microRNAs. Length-variation of 3'UTRs by APA contributes to efficient proliferation of cancer cells. In this study, we investigated APA in single cancer cells and tumor microenvironment cells to understand the physiological implication of APA in different cell types. We analyzed APA patterns and the expression level of genes from the 515 single-...

Dissecting Cell Lineages: From Microscope to Kaleidoscope.

Single-cell transcriptomics coupled with dynamic two-color fluorescence are used by Gehart et al. (2019) to elucidate adult mammalian cell trajectories in real time. The authors' close examination of intestinal enteroendocrine differentiation reveals new lineage features and shifting cell identities, and experiments in organoids uncover specific roles for transcriptional regulators identified by this approach.

A discriminative learning approach to differential expression analysis for single-cell RNA-seq.

Single-cell RNA-seq makes it possible to characterize the transcriptomes of cell types across different conditions and to identify their transcriptional signatures via differential analysis. Our method detects changes in transcript dynamics and in overall gene abundance in large numbers of cells to determine differential expression. When applied to transcript compatibility counts obtained via pseudoalignment, our approach provides a quantification-free analysis of 3' single-cell RNA-seq that can identify pr...

Single-Cell Dosing and mRNA Sequencing of Suspension and Adherent Cells Using the Polaris System.

Single-cell functional analysis provides a natural next step in the now widely adopted single-cell mRNA sequencing studies. Functional studies can be designed to study cellular context by using single-cell culture, perturbation, manipulation, or treatment. Here we present a method for a functional study of 48 single cells by single-cell isolation, dosing, and mRNA sequencing with an integrated fluidic circuit (IFC) on the Fluidigm Polaris™ system. The major procedures required to execute this protocol are...


Advertisement
Quick Search
Advertisement
Advertisement