Evidence map›Paper›PMID 34766267›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Single-Cell Protein Profiling by Microdroplet Barcoding and Next-Generation Sequencing.

Samuel C Kim, John R Haliburton, Zev J Gartner, Adam R Abate

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samuel C KimDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA. sam.kim19@gilead.com.
John R HaliburtonDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Zev J GartnerDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.

Funding

Gigapixel digital PCR in Giant Unilamellar VesiclesR01EB019453 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., CHIU, CHARLES YEN · 2014 to 2022
$3.9M
Microfluidic immunoprofiling for biomarker discovery in rheumatoid arthritisDP2AR068129 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R. · 2014 to 2014
$2.4M
Accurate, long-read sequencing with droplet-microfluidic barcodingR21HG007233 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., HERNANDEZ, RYAN D. · 2013 to 2014
$433k
NHGRI NIH HHS R21 HG007233NIAMS NIH HHS DP2 AR068129NIBIB NIH HHS R01 EB019453
6 · The paper itself

Abstract

DNA barcoding of individual cells combined with next-generation sequencing enables high-throughput parallel analysis of biomolecules at the single-cell level. Encoding protein identity with DNA barcoding of specific antibody binders achieves sequencing-based protein quantitation by converting protein signals into DNA signals. Here, we describe how to prepare DNA-barcoded antibodies and connect protein identities to cellular identities using droplet microfluidics. This approach allows for multiplex single-cell protein analysis compatible with single-cell transcriptomic and mutational profiling methods.

Indexed as

High-Throughput Nucleotide SequencingSingle-Cell AnalysisDNADNA Barcoding, TaxonomicMicrofluidicsProteinsDNAProteinsDNA barcodingDroplet microfluidicsNext-generation sequencingProteomicsSingle-cell analysis

Identifiers

PMID34766267
PMCPMC9122841

What OpenQuestion holds

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Registered trials

None linked

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.