ArticleGenome biology2018
Linking single-cell measurements of mass, growth rate, and gene expression.
Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Single-cell mass-density measurements using microchannel gradient centrifugation.Scientific reports · 2026Article
- Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma.Science advances · 2025Article
- Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025Review
- Plasma membrane folding enables constant surface area-to-volume ratio in growing mammalian cells.Current biology : CB · 2025Article
- Plasma membrane folding enables constant surface area-to-volume ratio in growing mammalian cells.bioRxiv : the preprint server for biology · 2025Article
- Cell identity revealed by precise cell cycle state mapping links data modalities.bioRxiv : the preprint server for biology · 2024Article
- Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular Heterogeneity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Mutation and cell state compatibility is required and targetable in Ph+ acute lymphoblastic leukemia minimal residual disease.bioRxiv : the preprint server for biology · 2024Article
- Cellular Mass Response to Therapy Correlates With Clinical Response for a Range of Malignancies.JCO precision oncology · 2024Article
- Correlating mechanical and gene expression data on the single cell level to investigate metastatic phenotypes.iScience · 2023Article
- Assessing the growth kinetics and stoichiometry ofEngineering in life sciences · 2023Article
- A pipeline for malignancy and therapy agnostic assessment of cancer drug response using cell mass measurements.Communications biology · 2022Article
- The accuracy of absolute differential abundance analysis from relative count data.PLoS computational biology · 2022Article
- Innovative GenExpA software for selecting suitable reference genes for reliable normalization of gene expression in melanoma.Scientific reports · 2022Article
- Mechanical phenotyping reveals unique biomechanical responses in retinoic acid-resistant acute promyelocytic leukemia.iScience · 2022Article
- Integration of Single-Cell Transcriptomics With a High Throughput Functional Screening Assay to Resolve Cell Type, Growth Kinetics, and Stemness Heterogeneity Within the Comma-1D Cell Line.Frontiers in genetics · 2022Article
- Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022Article
- Cellular and biomolecular detection based on suspended microchannel resonators.Biomedical engineering letters · 2021Review
- Measuring kinetics and metastatic propensity of CTCs by blood exchange between mice.Nature communications · 2021Article
- Generalized and scalable trajectory inference in single-cell omics data with VIA.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Mass and growth rate are highly integrative measures of cell physiology not discernable via genomic measurements. Here, we introduce a microfluidic platform enabling direct measurement of single-cell mass and growth rate upstream of highly multiplexed single-cell profiling such as single-cell RNA sequencing. We resolve transcriptional signatures associated with single-cell mass and growth rate in L1210 and FL5.12 cell lines and activated CD8+ T cells. Further, we demonstrate a framework using these linked measurements to characterize biophysical heterogeneity in a patient-derived glioblastoma cell line with and without drug treatment. Our results highlight the value of coupled phenotypic metrics in guiding single-cell genomics.
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.