ArticleiScience2018
Rainbow-Seq: Combining Cell Lineage Tracing with Single-Cell RNA Sequencing in Preimplantation Embryos.
Article in iScience, 2018. 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
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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.
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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
10 citing papers in PubMed, 14 citations in OpenAlex.
- A method for CRISPR/Cas9-induced genetic barcoding and lineage tracing in sheep.Scientific reports · 2026Article
- Tissue fluidity mediates a trade-off between the speed and accuracy of multicellular patterning by cell sorting.Biophysical journal · 2025Article
- Tissue Fluidity Mediates a Trade-off Between the Speed and Accuracy of Multicellular Patterning by Cell Sorting.bioRxiv : the preprint server for biology · 2025Article
- Identification of novel cattle (Bos taurus) genes and biological insights of their function in pre-implantation embryo development.BMC genomics · 2024Article
- A new and effective two-step clustering approach for single cell RNA sequencing data.BMC genomics · 2023Article
- Integration of quantitative methods and mathematical approaches for the modeling of cancer cell proliferation dynamics.American journal of physiology. Cell physiology · 2023Review
- Untangling the web of intratumour heterogeneity.Nature cell biology · 2022Review
- Boosting scRNA-seq data clustering by cluster-aware feature weighting.BMC bioinformatics · 2021Article
- MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing.Nature protocols · 2019Article
- Single-cell transcriptomic analysis of mouse neocortical development.Nature communications · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
We developed the Rainbow-seq technology to trace cell division history and reveal single-cell transcriptomes. With distinct fluorescent protein genes as lineage markers, Rainbow-seq enables each single-cell RNA sequencing (RNA-seq) experiment to simultaneously decode the lineage marker genes and read single-cell transcriptomes. We triggered lineage tracking in each blastomere at the 2-cell stage, observed microscopically inequivalent contributions of the progeny to the two embryonic poles at the blastocyst stage, and analyzed every single cell at either 4- or 8-cell stage with deep paired-end sequencing of full-length transcripts. Although lineage difference was not marked unequivocally at a single-gene level, it became clear when the transcriptome was analyzed as a whole. Moreover, several groups of novel transcript isoforms with embedded repeat sequences exhibited lineage difference, suggesting a possible link between DNA demethylation and cell fate decision. Rainbow-seq bridged a critical gap between division history and single-cell RNA-seq assays.
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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.