ArticleBlood2022
Combining single-cell tracking and omics improves blood stem cell fate regulator identification.
Article in Blood, 2022. 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
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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.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Targeting asymmetric division in cancer stem cells: implications for relapse and resistance.Cancer cell international · 2025Review
- Mapping T cell dynamics to molecular profiles through behavior-guided transcriptomics.Nature protocols · 2025Review
- Integration of hyperspectral imaging and transcriptomics from individual cells with SpectralSeq.Genome research · 2025Article
- Cell polarity: cell type-specific regulators, common pathways, and polarized vesicle transport.Leukemia · 2025Review
- GEMLI: Gene Expression Memory-Based Lineage Inference from Single-Cell RNA-Sequencing Datasets.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Identification of an embryonic differentiation stage marked by Sox1 and FoxA2 co-expression using combined cell tracking and high dimensional protein imaging.Nature communications · 2024Article
- aiSEGcell: User-friendly deep learning-based segmentation of nuclei in transmitted light images.PLoS computational biology · 2024Article
- Review
- Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets.Nature communications · 2024Article
- Article
- Review
- Embryonic stem cell ERK, AKT, plus STAT3 response dynamics combinatorics are heterogeneous but NANOG state independent.Stem cell reports · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Molecular programs initiating cell fate divergence (CFD) are difficult to identify. Current approaches usually compare cells long after CFD initiation, therefore missing molecular changes at its start. Ideally, single cells that differ in their CFD molecular program but are otherwise identical are compared early in CFD. This is possible in diverging sister cells, which were identical until their mother's division and thus differ mainly in CFD properties. In asymmetrically dividing cells, divergent daughter fates are prospectively committed during division, and diverging sisters can thus be identified at the start of CFD. Using asymmetrically dividing blood stem cells, we developed a pipeline (ie, trackSeq) for imaging, tracking, isolating, and transcriptome sequencing of single cells. Their identities, kinship, and histories are maintained throughout, massively improving molecular noise filtering and candidate identification. In addition to many identified blood stem CFD regulators, we offer here this pipeline for use in CFDs other than asymmetric division.
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.