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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

Reconstruction of Cell-type-Specific Interactomes at Single-Cell Resolution

TL;DR: SCINET is introduced, a computational framework that reconstructs an ensemble of cell-type-specific interactomes by integrating a global, context-independent reference interactome with a single-cell gene-expression profile and is used to reconstruct and analyze interactomes of the major human brain and immune cell types.
Posted ContentDOI

MULTI-seq: Scalable sample multiplexing for single-cell RNA sequencing using lipid-tagged indices

TL;DR: The MULTI-seq method enables robust doublet identification, which improves data quality and increases scRNA-seq cell throughput by minimizing the negative effects of Poisson loading, and it is anticipated that the sample throughput and reagent savings enabled by MULTi-seq will expand the purview of sc RNA-seq and democratize the application of these technologies within the scientific community.
Journal ArticleDOI

The Interchromatin Compartment Participates in the Structural and Functional Organization of the Cell Nucleus

TL;DR: The role of the interchromatin compartment (IC) in shaping nuclear landscapes is focused on and it is postulated that it provides routes for imported transcription factors to target sites, for export routes of mRNA as ribonucleoproteins toward NPCs, as well as for the intranuclear passage of regulatory RNAs from sites of transcription to remote functional sites.
Journal ArticleDOI

EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data.

TL;DR: EPISCORE is a computational algorithm that performs virtual microdissection of bulk tissue DNA methylation data at single cell-type resolution for any solid tissue, allowing quantification ofcell-type proportions and cell- type-specific differential methylation signals in bulk tissue data.
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.
Journal ArticleDOI

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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