ArticleOpen biology2019
High-throughput dense reconstruction of cell lineages.
Article in Open biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Single-cell lineage tracing techniques in hematology: unraveling the cellular narrative.Journal of translational medicine · 2025Review
- Design and Generation of TEMPO Reagents for Sequential Labeling and Manipulation of Vertebrate Cell Lineages.Methods in molecular biology (Clifton, N.J.) · 2025Article
- PhyloVelo enhances transcriptomic velocity field mapping using monotonically expressed genes.Nature biotechnology · 2024Article
- LinRace: cell division history reconstruction of single cells using paired lineage barcode and gene expression data.Nature communications · 2023Article
- Connecting past and present: single-cell lineage tracing.Protein & cell · 2022Review
- TedSim: temporal dynamics simulation of single-cell RNA sequencing data and cell division history.Nucleic acids research · 2022Article
- Diversification of multipotential postmitotic mouse retinal ganglion cell precursors into discrete types.eLife · 2022Article
- Multicolor strategies for investigating clonal expansion and tissue plasticity.Cellular and molecular life sciences : CMLS · 2022Review
- Integrated Patterning Programs DuringAnnual review of neuroscience · 2021Article
- Deciphering neural heterogeneity through cell lineage tracing.Cellular and molecular life sciences : CMLS · 2021Review
- From Cell States to Cell Fates: How Cell Proliferation and Neuronal Differentiation Are Coordinated During Embryonic Development.Frontiers in neuroscience · 2021Review
- Single-cell lineage tracing approaches in hematology research: technical considerations.Experimental hematology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The first meeting exclusively dedicated to the 'High-throughput dense reconstruction of cell lineages' took place at Janelia Research Campus (Howard Hughes Medical Institute) from 14 to 18 April 2019. Organized by Tzumin Lee, Connie Cepko, Jorge Garcia-Marques and Isabel Espinosa-Medina, this meeting echoed the recent eruption of new tools that allow the reconstruction of lineages based on the phylogenetic analysis of DNA mutations induced during development. Combined with single-cell RNA sequencing, these tools promise to solve the lineage of complex model organisms at single-cell resolution. Here, we compile the conference consensus on the technological and computational challenges emerging from the use of the new strategies, as well as potential solutions.
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.