ArticleCell reports2020
A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell Level.
Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 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
66 citing papers in PubMed.
- Peanut allergy oral immunotherapy drives single-cell multi-omic changes in peanut-reactive T cells associated with sustained unresponsiveness.Nature immunology · 2025Trial
- CellFuse Enables Multimodal Integration of Single-Cell and Spatial Proteomics Data for Systems-Level Analysis in Cancer.Cancer research · 2026Article
- Phenotypically similar but functionally distinct NK cell populations within the human maternal-fetal interface.ImmunoHorizons · 2026Article
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- Multiomic Detection of RNA, Protein, and Protein-Protein Proximity at Subcellular Resolution Using Automated Protease-Free RNAscope™ Workflows.Methods in molecular biology (Clifton, N.J.) · 2026Article
- RoCK and ROI: single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific sequencing.Nature communications · 2025Article
- Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Phenotypic Changes in a Monocyte Cluster with High Interleukin-1 Beta Expression during Long-Term Anti-CD20 Therapy.Annals of neurology · 2025Article
- CXCR1 Depletion in Ly6CAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Sensitive dissection of a genomic regulatory landscape using bulk and targeted single-cell activation.Cell genomics · 2025Article
- SmartImpute is a targeted imputation framework for single-cell transcriptome data.Cell reports methods · 2025Article
- Application of single-cell and spatial omics in deciphering cellular hallmarks of cancer drug response and resistance.Journal of hematology & oncology · 2025Review
- Intersecting transcriptomic landscapes of hypertension and kidney function in African American women.American journal of physiology. Renal physiology · 2025Article
- Single-Cell Multi-Omics: Insights into Therapeutic Innovations to Advance Treatment in Cancer.International journal of molecular sciences · 2025Review
- Continuous map of early hematopoietic stem cell differentiation across human lifetime.Nature communications · 2025Article
- Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics.Antibodies (Basel, Switzerland) · 2025Article
- A holistic approach to understanding immune-mediated inflammatory diseases: bioinformatic tools to integrate omics data.Computational and structural biotechnology journal · 2024Review
- Stress-free single-cell transcriptomic profiling and functional genomics of murine eosinophils.Nature protocols · 2024Review
- Predicting mechanism of immune response in microsatellite instability colorectal cancer.Heliyon · 2024Article
- Single cell multi-omic analysis identifies key genes differentially expressed in innate lymphoid cells from COVID-19 patients.Frontiers in immunology · 2024Article
6 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
10 authors.
Funding
Abstract
High-throughput single-cell RNA sequencing (scRNA-seq) has become a frequently used tool to assess immune cell heterogeneity. Recently, the combined measurement of RNA and protein expression was developed, commonly known as cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq). Acquisition of protein expression data along with transcriptome data resolves some of the limitations inherent to only assessing transcripts but also nearly doubles the sequencing read depth required per single cell. Furthermore, there is still a paucity of analysis tools to visualize combined transcript-protein datasets. Here, we describe a targeted transcriptomics approach that combines an analysis of over 400 genes with simultaneous measurement of over 40 proteins on 2 × 10
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.