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Sanger Human Cell Atlasing Project

Sanger Human Cell Atlasing Project. Defining Human Cells in Terms of Gene Expression, Physiological States,Developmental Trajectories, and Location.

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06497673
Acronym
HCA
Enrollment
4000
Registered
2024-07-12
Start date
2019-12-16
Completion date
2029-11-07
Last updated
2024-07-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Genetic Disease, Human Development

Brief summary

Cell Atlasing refers to a novel strategy to characterise cells in tissues at the molecular level in a quantitative manner. The international Human Cell Atlas consortium brings together a community of biologists, clinicians, technologists, physicists, computational scientists, software engineers, and mathematicians to capitalise on drawing together leaders with various biological, technical and computational expertise. The project is based on the aim to define all human cell types in terms of their distinctive patterns of gene expression, physiological states, developmental trajectories, and location. This will pave the way to create a reference map of all human cells as a basis for understanding human health and diagnosing, monitoring, and treating disease.

Detailed description

Previous methods for quantifying molecular states of cells included microarray and standard RNA-seq analysis on a tissue section (RNA-seq is a technique to look at the activity of all the genes in a cell). These methods estimate the activity of any given gene by averaging the signal from millions of cells. Given the heterogeneity of cell populations (i.e.how uniform they are), measurement of the mean values of signals overlooks the internal interactions and differences within a cell population that may be crucial for maintaining normal tissue function and facilitating disease progression. The Sanger Human Cell Atlasing project will adopt various genomic approaches that will provide genome-wide information in a single experiment. This project aims to scale up the single cell genomics and high-throughput highly multiplex spatial gene expression profiling approaches. Coupled with powerful computational methods, this strategy will produce a comprehensive and systematic reference map of human cells, providing a fundamental blueprint of cell states for both basic biological research and clinical practice.

Interventions

OTHERsample collection

New collected samples, as well as surplus surgical and diagnostic samples.

Sponsors

The Wellcome Sanger Institute
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

* Samples are from the living and the deceased age 0 to 99+ from healthy and diseased individuals. * All samples will have fully informed consent for use in research.

Exclusion criteria

* Samples taken without consent for use in future research * Samples taken from individuals without the capacity to consent to use in research

Design outcomes

Primary

MeasureTime frameDescription
This project aims to scale up the single cell genomics and high-throughput highly multiplex spatial gene expression profiling approaches.10 yearsCoupled with powerful computational methods, this strategy will produce a comprehensive and systematic reference map of human cells, providing a fundamental blueprint of cell states for both basic biological research and clinical practice.

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026