ArticleNucleic acids research2023
Lineage Landscape: a comprehensive database that records lineage commitment across species.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Epigenetics in development, disease, and therapy: from mechanisms to clinical interventions.Science China. Life sciences · 2026Review
- DNA methylation clocks for estimating biological age in Chinese cohorts.Protein & cell · 2024Article
- Degeneration Directory: a multi-omics web resource for degenerative diseases.Protein & cell · 2024Article
- Multimodal Omics Approaches to Aging and Age-Related Diseases.Phenomics (Cham, Switzerland) · 2024Review
- Migrasomes trigger innate immune activation and mediate transmission of senescence signals across human cells.Life medicine · 2023Article
- Review
- Biomarkers of aging.Science China. Life sciences · 2023Review
- A single-cell transcriptomic atlas of exercise-induced anti-inflammatory and geroprotective effects across the body.Innovation (Cambridge (Mass.)) · 2023Article
- The 2023 Nucleic Acids Research Database Issue and the online molecular biology database collection.Nucleic acids research · 2023Article
- MAVS Antagonizes Human Stem Cell Senescence as a Mitochondrial Stabilizer.Research (Washington, D.C.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Commitment to specific cell lineages is critical for mammalian embryonic development. Lineage determination, differentiation, maintenance, and organogenesis result in diverse life forms composed of multiple cell types. To understand the formation and maintenance of living individuals, including human beings, a comprehensive database that integrates multi-omic information underlying lineage differentiation across multiple species is urgently needed. Here, we construct Lineage Landscape, a database that compiles, analyzes and visualizes transcriptomic and epigenomic information related to lineage development in a collection of species. This landscape draws together datasets that capture the ongoing changes in cell lineages from classic model organisms to human beings throughout embryonic, fetal, adult, and aged stages, providing comprehensive, open-access information that is useful to researchers of a broad spectrum of life science disciplines. Lineage Landscape contains single-cell gene expression and bulk transcriptomic, DNA methylation, histone modifications, and chromatin accessibility profiles. Using this database, users can explore genes of interest that exhibit dynamic expression patterns at the transcriptional or epigenetic levels at different stages of lineage development. Lineage Landscape currently includes over 6.6 million cells, 15 million differentially expressed genes and 36 million data entries across 10 species and 34 organs. Lineage Landscape is free to access, browse, search, and download at http://data.iscr.ac.cn/lineage/#/home.
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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.