ReviewAnnual review of genetics2016
Single-Cell and Single-Molecule Analysis of Gene Expression Regulation.
Review in Annual review of genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 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
71 citing papers in PubMed, 114 citations in OpenAlex.
- CRISPR-Cas-based live cell imaging of genome dynamics.Nature reviews. Genetics · 2026Review
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- TrueSpot: a robust automated tool for quantifying signal puncta in fluorescent imaging.Genome biology · 2025Article
- DNA forensics at forty: the way forward.International journal of legal medicine · 2025Review
- TrueSpot: A robust automated tool for quantifying signal puncta in fluorescent imaging.bioRxiv : the preprint server for biology · 2025Article
- Origin of the clock inFrontiers in molecular biosciences · 2025Review
- Feed-forward loop improves the transient dynamics of an antithetic biological controller.Journal of the Royal Society, Interface · 2025Article
- Aberrant pre-mRNA processing in cancer.The Journal of experimental medicine · 2024Review
- Decoding Arc transcription: a live-cell study of stimulation patterns and transcriptional output.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Article
- Protein translation: biological processes and therapeutic strategies for human diseases.Signal transduction and targeted therapy · 2024Review
- Multiplexed Immunofluorescence and Single-Molecule RNA Fluorescence In Situ Hybridization in Mouse Skeletal Myofibers.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Quantitative Assessment of Intracellular Effectors and Cellular Response in RAGE Activation.Archives of internal medicine research · 2024Article
- Modelling capture efficiency of single-cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics.Bioinformatics (Oxford, England) · 2023Article
- Tracking the Message: Applying Single Molecule Localization Microscopy to Cellular RNA Imaging.Chembiochem : a European journal of chemical biology · 2023Review
- TrackAnalyzer: A Fiji/ImageJ toolbox for a holistic analysis of tracks.Biological imaging · 2023Article
- Microenvironmental Analysis and Control for Local Cells under Confluent Conditions via a Capillary-Based Microfluidic Device.Analytical chemistry · 2022Article
- Review
- Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Long-term imaging of individual mRNA molecules in living cells.Cell reports methods · 2022Article
- Article
11 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
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Recent advancements in single-cell and single-molecule imaging technologies have resolved biological processes in time and space that are fundamental to understanding the regulation of gene expression. Observations of single-molecule events in their cellular context have revealed highly dynamic aspects of transcriptional and post-transcriptional control in eukaryotic cells. This approach can relate transcription with mRNA abundance and lifetimes. Another key aspect of single-cell analysis is the cell-to-cell variability among populations of cells. Definition of heterogeneity has revealed stochastic processes, determined characteristics of under-represented cell types or transitional states, and integrated cellular behaviors in the context of multicellular organisms. In this review, we discuss novel aspects of gene expression of eukaryotic cells and multicellular organisms revealed by the latest advances in single-cell and single-molecule imaging technology.
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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.