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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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Citations
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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

A comparison of single-cell trajectory inference methods.

TL;DR: The authors comprehensively benchmark the accuracy, scalability, stability and usability of 45 single-cell trajectory inference methods and develop a set of guidelines to help users select the best method for their dataset.
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Forcing cells to change lineages

TL;DR: The ability to produce stem cells by induced pluripotency (iPS reprogramming) has rekindled an interest in earlier studies showing that transcription factors can directly convert specialized cells from one lineage to another.
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chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

TL;DR: chromVAR as mentioned in this paper is an R package for analyzing sparse chromatin-accessibility data by estimating gain or loss of accessibility within peaks sharing the same motif or annotation while controlling for technical biases.
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Metabolic requirements for the maintenance of self-renewing stem cells

TL;DR: Investigation into the molecular mechanisms and metabolic pathways underlying stem cell self-renewal and differentiation hold great therapeutic promise.
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