ArticleCell stem cell2021
New dog, old tricks: Developmental programs resurface in inflammation.
Article in Cell stem cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 citations in OpenAlex.
- Developmental timing distinguishes pediatric and adult cancers through retention and rewiring mechanisms.Nature communications · 2026Review
- Oncofetal reprogramming in tumour development and progression.Nature reviews. Cancer · 2022Review
Corrections and comments
- Comment on
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular cartography of human tissues has provided unprecedented insight into health and disease. In a recent issue of Science, Reynolds et al. (2021) use single-cell transcriptomics to define cell states and gene programs in human skin and uncover fetal programs in dermatological diseases that may fuel inflammatory pathology.
Indexed as
Identifiers
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.