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Open AccessJournal ArticleDOI

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Human Developmental Hematopoiesis

TLDR
In this paper, the authors applied single-cell RNA sequencing (scRNA-seq) and single cell assay for transposase-accessible chromatin sequencing to over 8,000 human immunophenotypic blood cells from fetal liver and bone marrow.
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This article is published in Cell Stem Cell.The article was published on 2021-03-04 and is currently open access. It has received 122 citations till now. The article focuses on the topics: ATAC-seq & Chromatin.

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CellRank for directed single-cell fate mapping

TL;DR: In this article , a trajectory inference approach for single-cell fate mapping in diverse scenarios, including regeneration, reprogramming and disease, for which direction is unknown, is presented, which combines the robustness of trajectory inference with directional information from RNA velocity, taking into account the gradual and stochastic nature of cellular fate decisions.
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Single‐cell RNA sequencing technologies and applications: A brief overview

TL;DR: In this article , the authors provide a concise overview about the scRNA-seq technology, experimental and computational procedures for transforming the biological and molecular processes into computational and statistical data, and highlight a few examples on how scRNAseq can provide unique information for better understanding health and diseases.
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Unraveling B cell trajectories at single cell resolution.

TL;DR: In this paper , the adoption of single cell approaches to identify different B cell gene signatures and biomarkers in normal and diseased tissues, and subsequent benefits for future therapeutic discoveries are discussed.
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Enhancers in disease: molecular basis and emerging treatment strategies.

TL;DR: In this article, the authors review how these enhancer disruptions have recently been implicated in congenital disorders, cancers, and common complex diseases and address the implications for diagnosis and treatment, and show that enhancer-targeting drugs and gene editing approaches show great therapeutic promise for a range of diseases.
References
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Journal ArticleDOI

Full-length RNA-seq from single cells using Smart-seq2

TL;DR: In this article, the authors presented a detailed protocol for Smart-seq2 that allows the generation of full-length cDNA and sequencing libraries by using standard reagents, and the entire protocol takes ∼2 d from cell picking to having a final library ready for sequencing; sequencing will require an additional 1-3 d depending on the strategy and sequencer.
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Fast, sensitive and accurate integration of single-cell data with Harmony.

TL;DR: Harmony, for the integration of single-cell transcriptomic data, identifies broad and fine-grained populations, scales to large datasets, and can integrate sequencing- and imaging-based data.
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SCENIC: single-cell regulatory network inference and clustering.

TL;DR: On a compendium of single-cell data from tumors and brain, it is demonstrated that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states.
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ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

TL;DR: ForceAtlas2 is a force-directed layout close to other algorithms used for network spatialization, designed for the Gephi user experience, and proposed for the first time as a benchmark for the compromise between performance and quality.
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Stem cells: units of development, units of regeneration, and units in evolution.

TL;DR: The review begins with a detailed examination of hematopoi-via the umbilical vein to the fetal liver between dpc 8.5 etic (blood-forming) stem cells, and the transcription pro-The earliest stem cells in ontogeny are totipotent, ex- files of each of these populations are quite distinct.
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