ArticleGenome biology2016
Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction.
Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 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
84 citing papers in PubMed.
- Trial
- Methodological framework for chromogenic mRNA detection using in situ hybridization chain reaction.Histochemistry and cell biology · 2026Article
- Identification of protein biomarkers to differentiate between gram-negative and gram-positive infections in adults suspected of sepsis.BMC infectious diseases · 2025Article
- Single-cell epigenomics and proteomics methods integrated in multiomics.Fundamental research · 2025Review
- Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025Review
- Lossless single-molecule counting to absolute quantify proteoforms.Scientific reports · 2025Article
- Applications of Single-Cell Omics Technologies for Induced Pluripotent Stem Cell-Based Cardiovascular Research.International journal of stem cells · 2025Review
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- From sampling to simulating: Single-cell multiomics in systems pathophysiological modeling.iScience · 2024Review
- Parallel measurement of transcriptomes and proteomes from same single cells using nanodroplet splitting.Nature communications · 2024Article
- Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024Review
- Progress in single-cell multimodal sequencing and multi-omics data integration.Biophysical reviews · 2024Review
- The technological landscape and applications of single-cell multi-omics.Nature reviews. Molecular cell biology · 2023Review
- Decoding Human Biology and Disease Using Single-cell Omics Technologies.Genomics, proteomics & bioinformatics · 2023Review
- Spatial transcriptomics: recent developments and insights in respiratory research.Military Medical Research · 2023Review
- Applications of multi-omics analysis in human diseases.MedComm · 2023Review
- Extending the dynamic range of biomarker quantification through molecular equalization.Nature communications · 2023Article
- Spatial Omics Sequencing Based on Microfluidic Array Chips.Biosensors · 2023Review
- Correlating mechanical and gene expression data on the single cell level to investigate metastatic phenotypes.iScience · 2023Article
- Single-cell proteomics enabled by next-generation sequencing or mass spectrometry.Nature methods · 2023Review
24 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
13 authors.
Funding
Abstract
We present a scalable, integrated strategy for coupled protein and RNA detection from single cells. Our approach leverages the DNA polymerase activity of reverse transcriptase to simultaneously perform proximity extension assays and complementary DNA synthesis in the same reaction. Using the Fluidigm C1™ system, we profile the transcriptomic and proteomic response of a human breast adenocarcinoma cell line to a chemical perturbation, benchmarking against in situ hybridizations and immunofluorescence staining, as well as recombinant proteins, ERCC Spike-Ins, and population lysate dilutions. Through supervised and unsupervised analyses, we demonstrate synergies enabled by simultaneous measurement of single-cell protein and RNA abundances. Collectively, our generalizable approach highlights the potential for molecular metadata to inform highly-multiplexed single-cell analyses.
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.