ArticleCurrent protocols in cytometry2016
Simultaneous, Single-Cell Measurement of Messenger RNA, Cell Surface Proteins, and Intracellular Proteins.
Article in Current protocols in cytometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Single-Cell RNA Sequencing and Combinatorial Approaches for Understanding Heart Biology and Disease.Biology · 2024Review
- An Early Myelosuppression in the Acute Mouse Sepsis Is Partly Outcome-Dependent.Frontiers in immunology · 2021Article
- Computational strategies for single-cell multi-omics integration.Computational and structural biotechnology journal · 2021Review
- A Multiparameter Flow Cytometry Analysis Panel to Assess CD163 mRNA and Protein in Monocyte and Macrophage Populations in Hyperinflammatory Diseases.Journal of immunology (Baltimore, Md. : 1950) · 2019Article
- Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques.Journal of visualized experiments : JoVE · 2018Article
- RNA Flow Cytometry Using the Branched DNA Technique.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Article
- Single-Cell Multiomics: Multiple Measurements from Single Cells.Trends in genetics : TIG · 2017Review
- Fluorescence In situ Hybridization: Cell-Based Genetic Diagnostic and Research Applications.Frontiers in cell and developmental biology · 2016Review
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.
Funding
Abstract
Nucleic acid content can be quantified by flow cytometry through the use of intercalating compounds; however, measuring the presence of specific sequences has hitherto been difficult to achieve by this methodology. The primary obstacle to detecting discrete nucleic acid sequences by flow cytometry is their low quantity and the presence of high background signals, rendering the detection of hybridized fluorescent probes challenging. Amplification of nucleic acid sequences by molecular techniques such as in situ PCR have been applied to single-cell suspensions, but these approaches have not been easily adapted to conventional flow cytometry. An alternative strategy implements a Branched DNA technique, comprising target-specific probes and sequentially hybridized amplification reagents, resulting in a theoretical 8,000- to 16,000-fold increase in fluorescence signal amplification. The Branched DNA technique allows for the quantification of native and unmanipulated mRNA content with increased signal detection and reduced background. This procedure utilizes gentle fixation steps with low hybridization temperatures, leaving the assayed cells intact to permit their concomitant immunophenotyping. This technology has the potential to advance scientific discovery by correlating potentially small quantities of mRNA with many biological measurements at the single-cell level.
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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.