ArticleNature communications2016
A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 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
64 citing papers in PubMed.
- Single-cell marker gene clustering: A unified deep learning framework for marker gene-based clustering of single-cell RNA-sequencing data.Quantitative biology (Beijing, China) · 2026Article
- Organ-on-a-Chip and Microfluidic Plant Cell Culture Systems: The Next Frontier for Controlled Secondary Metabolite Production and Real-Time Metabolomic Monitoring.Plants (Basel, Switzerland) · 2026Review
- Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Research on Simulation Optimization of MEMS Microfluidic Structures at the Microscale.Micromachines · 2025Article
- GEMLI: Gene Expression Memory-Based Lineage Inference from Single-Cell RNA-Sequencing Datasets.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Single cell transcriptomics reveals distinct transcriptional responses to oxycodone and buprenorphine by iPSC-derived brain organoids from patients with opioid use disorder.Molecular psychiatry · 2024Article
- Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets.Nature communications · 2024Article
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- Tracing back primed resistance in cancer via sister cells.Nature communications · 2024Article
- Article
- Droplets microfluidics platform-A tool for single cell research.Frontiers in bioengineering and biotechnology · 2023Review
- Article
- Combining single-cell tracking and omics improves blood stem cell fate regulator identification.Blood · 2022Article
- Article
- Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data.BioData mining · 2022Article
- Advancement of Single-Cell Sequencing in Medulloblastoma.Methods in molecular biology (Clifton, N.J.) · 2022Article
- A microfluidic platform enables comprehensive gene expression profiling of mouse retinal stem cells.Lab on a chip · 2021Article
- Cellular and biomolecular detection based on suspended microchannel resonators.Biomedical engineering letters · 2021Review
- Single-Cell Technologies to Study Phenotypic Heterogeneity and Bacterial Persisters.Microorganisms · 2021Review
- Microphysiological systems to study tumor-stroma interactions in brain cancer.Brain research bulletin · 2021Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line lineages. Here we report that both cell types have greater intra- than inter-lineage transcriptional similarity. For CD8+ T-cells, genes with functional annotation relating to lymphocyte differentiation and function--including Granzyme B--are enriched among the genes that demonstrate greater intra-lineage expression level similarity. Analysis of gene expression covariance with matched measurements of time since division reveals cell type-specific transcriptional signatures that correspond with cell cycle progression. We believe that the ability to directly measure the effects of lineage and cell cycle-dependent transcriptional profiles of single cells will be broadly useful to fields where heterogeneous populations of cells display distinct clonal trajectories, including immunology, cancer, and developmental biology.
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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.