ArticlePatterns (New York, N.Y.)2020
Pancreatlas: Applying an Adaptable Framework to Map the Human Pancreas in Health and Disease.
Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 19 citations in OpenAlex.
- PanKbase Integrated Single-Cell Map: A Comprehensive Atlas of Human Pancreatic Islets.bioRxiv : the preprint server for biology · 2026Article
- From pancreas and islet resources to diabetes insights.Diabetologia · 2026Review
- Imaging mass cytometry reveals functional and immunological changes during type 1 diabetes progression in human pancreata.Nature metabolism · 2026Article
- Mapping histologic and functional maturation of human endocrine pancreas across early postnatal periods.Nature communications · 2026Article
- Heterogeneous endocrine cell composition defines human islet functional phenotypes.Nature communications · 2026Article
- CelLink: integrating single-cell multi-omics data with weak feature linkage and imbalanced cell populations.Nucleic acids research · 2025Article
- Heterogeneous endocrine cell composition defines human islet functional phenotypes.bioRxiv : the preprint server for biology · 2025Article
- The pathophysiology, presentation and classification of Type 1 diabetes.Diabetes, obesity & metabolism · 2025Review
- LONP1 regulation of mitochondrial protein folding provides insight into beta cell failure in type 2 diabetes.Nature metabolism · 2025Article
- Exploring new frontiers in type 1 diabetes through advanced mass-spectrometry-based molecular measurements.Trends in molecular medicine · 2024Review
- HumanIslets: An integrated platform for human islet data access and analysis.bioRxiv : the preprint server for biology · 2024Article
- Exploiting open source omics data to advance pancreas research.Journal of pancreatology · 2024Review
- Editorial: Footprints of immune cells in the type 1 diabetic pancreas, volume II.Frontiers in endocrinology · 2024Article
- Islet cells in human type 1 diabetes: from recent advances to novel therapies - a symposium-based roadmap for future research.The Journal of endocrinology · 2023Review
- Understanding islet dysfunction in type 2 diabetes through multidimensional pancreatic phenotyping: The Human Pancreas Analysis Program.Cell metabolism · 2022Review
- Images From the Exeter Archival Diabetes Biobank Now Accessible via Pancreatlas.Diabetes care · 2022Article
- Development of a 3D atlas of the embryonic pancreas for topological and quantitative analysis of heterologous cell interactions.Development (Cambridge, England) · 2022Article
- Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data.IEEE transactions on visualization and computer graphics · 2022Article
- State-of-the-art microscopy to understand islets of Langerhans: what to expect next?Immunology and cell biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Human tissue phenotyping generates complex spatial information from numerous imaging modalities, yet images typically become static figures for publication, and original data and metadata are rarely available. While comprehensive image maps exist for some organs, most resources have limited support for multiplexed imaging or have non-intuitive user interfaces. Therefore, we built a Pancreatlas resource that integrates several technologies into a unique interface, allowing users to access richly annotated web pages, drill down to individual images, and deeply explore data online. The current version of Pancreatlas contains over 800 unique images acquired by whole-slide scanning, confocal microscopy, and imaging mass cytometry, and is available at https://www.pancreatlas.org. To create this human pancreas-specific biological imaging resource, we developed a React-based web application and Python-based application programming interface, collectively called Flexible Framework for Integrating and Navigating Data (FFIND), which can be adapted beyond Pancreatlas to meet countless imaging or other structured data-management needs.
Indexed as
Identifiers
What Socratic 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 Socratic graph.