Evidence map›Paper›PMID 29440771›Full record

ArticleScientific reports2018

Combined aptamer and transcriptome sequencing of single cells.

Cyrille L Delley, Leqian Liu, Maen F Sarhan, Adam R Abate

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Beyond single cells: microfluidics empowering multiomics analysis.Analytical and bioanalytical chemistry · 2024
    Review
  6. MultiplexedNucleic acid therapeutics · 2024
    Article
  7. Review
  8. Review
  9. The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Single-Cell Applications of Next-Generation Sequencing.Cold Spring Harbor perspectives in medicine · 2019
    Review
  15. Article
  16. 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.

Cyrille L DelleyBioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA.ORCID 0000-0002-3599-5701
Leqian LiuBioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA.
Maen F SarhanBioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA.
Adam R AbateBioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA. adam@abatelab.org.

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 and unbiased single cell sequencing with digital droplet MDAR01HG008978 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R. · 2016 to 2018
$1.9M
SINGLE-CELL TRANSCRIPTOMIC ANALYSIS OF HIV-INFECTED CD4 T CELLS IN BLOOD AND LYMPHOID TISSUE USING PCR-ACTIVATED CELL SORTINGU01AI129206 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., BORITZ, ELI A · 2017 to 2020
$1.6M
NHGRI NIH HHS R01 HG008978NIAID NIH HHS U01 AI129206NIAMS NIH HHS DP2 AR068129NIBIB NIH HHS R01 EB019453
6 · The paper itself

Abstract

The transcriptome and proteome encode distinct information that is important for characterizing heterogeneous biological systems. We demonstrate a method to simultaneously characterize the transcriptomes and proteomes of single cells at high throughput using aptamer probes and droplet-based single cell sequencing. With our method, we differentiate distinct cell types based on aptamer surface binding and gene expression patterns. Aptamers provide advantages over antibodies for single cell protein characterization, including rapid, in vitro, and high-purity generation via SELEX, and the ability to amplify and detect them with PCR and sequencing.

Indexed as

Gene Expression ProfilingSELEX Aptamer TechniqueSingle-Cell Analysis3T3 CellsAnimalsMice

Identifiers

PMID29440771
PMCPMC5811598

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.