ReviewThe Biochemical journal2020
Cell Atlas technologies and insights into tissue architecture.
Review in The Biochemical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed.
- Single-cell Transcriptomics in Autoimmune Diseases: Mechanistic Insights, Cross-disease Convergence, and Translational Challenges in Rheumatoid Arthritis, Systemic Lupus Erythematosus, Type 1 Diabetes, and Multiple Sclerosis.Clinical reviews in allergy & immunology · 2026Review
- Article
- Spatial phenotyping of human bronchial airways in obstructive lung disease.Respiratory research · 2025Article
- A platform for multimodalbioRxiv : the preprint server for biology · 2025Article
- Biofilms as more than the sum of their parts: lessons from developmental biology.Current opinion in microbiology · 2024Review
- Multimodal Mass Spectrometry Imaging in Atlas Building: A Review.Seminars in nephrology · 2024Review
- Protective alleles and precision healthcare in crewed spaceflight.Nature communications · 2024Review
- Transcriptomic-based roadmap to the healthy and ozone-exposed lung.Current opinion in toxicology · 2024Article
- Plant biotechnology research with single-cell transcriptome: recent advancements and prospects.Plant cell reports · 2024Review
- A Roadmap for the Human Gut Cell Atlas.Nature reviews. Gastroenterology & hepatology · 2023Review
- Spatial Omics Sequencing Based on Microfluidic Array Chips.Biosensors · 2023Review
- A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.Nature genetics · 2023Article
- Decoding the Spermatogenesis Program: New Insights from Transcriptomic Analyses.Annual review of genetics · 2022Review
- Challenges and considerations for single-cell and spatially resolved transcriptomics sample collection during spaceflight.Cell reports methods · 2022Review
- Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression.Cell reports · 2022Article
- Embigin is a fibronectin receptor that affects sebaceous gland differentiation and metabolism.Developmental cell · 2022Article
- A novel single-cell RNA-sequencing approach and its applicability connecting genotype to phenotype in ageing disease.Scientific reports · 2022Article
- Spatial components of molecular tissue biology.Nature biotechnology · 2022Review
- An in situ sequencing approach maps PLASTOCHRON1 at the boundary between indeterminate and determinate cells.Plant physiology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since Robert Hooke first described the existence of 'cells' in 1665, scientists have sought to identify and further characterise these fundamental units of life. While our understanding of cell location, morphology and function has expanded greatly; our understanding of cell types and states at the molecular level, and how these function within tissue architecture, is still limited. A greater understanding of our cells could revolutionise basic biology and medicine. Atlasing initiatives like the Human Cell Atlas aim to identify all cell types at the molecular level, including their physical locations, and to make this reference data openly available to the scientific community. This is made possible by a recent technology revolution: both in single-cell molecular profiling, particularly single-cell RNA sequencing, and in spatially resolved methods for assessing gene and protein expression. Here, we review available and upcoming atlasing technologies, the biological insights gained to date and the promise of this field for the future.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.