Scinovex
article Open AccessTop 1% cited

The Human Cell Atlas

eLife · 2017 · Vol. 6
Aviv RegevSarah A TeichmannEric S LanderIdo AmitChristophe BenoistEwan BirneyBernd BodenmillerPeter CampbellPiero CarninciMenna ClatworthyHans CleversBart DeplanckeIan DunhamJames EberwineRoland EilsWolfgang EnardAndrew FarmerLars FuggerBerthold GöttgensNir HacohenMuzlifah HaniffaMartin HembergSeung KimPaul KlenermanArnold KriegsteinEd LeinSten LinnarssonEmma LundbergJoakim LundebergPartha MajumderJohn C MarioniMiriam MeradMusa MhlangaMartijn NawijnMihai NeteaGarry NolanDana Pe'erAnthony PhillipakisChris P PontingStephen QuakeWolf ReikOrit Rozenblatt-RosenJoshua SanesRahul SatijaTon N SchumacherAlex ShalekEhud ShapiroPadmanee SharmaJay W ShinOliver StegleMichael StrattonMichael J T StubbingtonFabian J TheisMatthias UhlenAlexander van OudenaardenAllon WagnerFiona WattJonathan WeissmanBarbara WoldRamnik XavierNir YosefHuman Cell Atlas Meeting Participants

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.

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesCancer Cells and MetastasisHuman cellAtlas (anatomy)Profiling (computer programming)Human Protein AtlasGene expression profilingHuman genomeCellHuman disease

MeSH terms

Atlases as TopicEukaryotic CellsHumansInternational CooperationHuman Body

Funding

  • Medical Research Council
  • Biotechnology and Biological Sciences Research Council
Citations
2,286
FWCI
80.82
field-weighted impact
References
199
Percentile
100%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.