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Open AccessJournal ArticleDOI

The Human Cell Atlas

Aviv Regev, +81 more
- 05 Dec 2017 - 
- Vol. 6
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TLDR
An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease.
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.

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Citations
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Journal ArticleDOI

Noncontact Multiphysics Probe for Spatiotemporal Resolved Single-Cell Manipulation and Analyses.

TL;DR: In this article, a multiphysics probe (NMP) is proposed to perform multiple manipulation procedures on living single-cells, while within their physiological tissue environment, for spatiotemporal single-cell analysis within tissue samples.
Book ChapterDOI

Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods.

TL;DR: This review describes the features of molecular biology techniques for single-cell RNA sequencing (scRNA-seq), including methods developed in the laboratory and describes the Reverse Transcription with Random Displacement Amplification technology that allows for direct first-strand cDNA amplification from RNA without the need for conversion to an amplifiable cDNA.
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Thyroid cancer under the scope of emerging technologies.

TL;DR: In this paper, the authors outline outstanding issues at each step along the path of cancer patient care, from prevention to post-treatment follow-up and highlight how emerging technologies will help address them in the coming years.
Posted ContentDOI

GT-TS: Experimental design for maximizing cell type discovery in single-cell data

TL;DR: The Good-Toulmin like estimator via Thompson sampling is presented, a computational method for iterative experimental design in multi-tissue single-cell RNA-seq data and the advantages of GT-TS in data collection planning when compared to a random strategy in the absence of experimental design are demonstrated.
Journal ArticleDOI

Single-Cell Toolkits Opening a New Era for Cell Engineering.

TL;DR: A review of cell engineering toolkits and their contributions to single-cell and genome-wide data collection and analyses can be found in this paper, where the authors discuss the current status of cell-engineering tools and their contribution to singlecell data collection.
References
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Continuous cultures of fused cells secreting antibody of predefined specificity

TL;DR: The derivation of a number of tissue culture cell lines which secrete anti-sheep red blood cell (SRBC) antibodies is described here, made by fusion of a mouse myeloma and mouse spleen cells from an immunised donor.
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Fast unfolding of communities in large networks

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Journal ArticleDOI

Fast unfolding of communities in large networks

TL;DR: In this paper, the authors proposed a simple method to extract the community structure of large networks based on modularity optimization, which is shown to outperform all other known community detection methods in terms of computation time.
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