Evidence map›Paper›PMID 30260208›Full record

ArticleAnalytical chemistry2018

Efficient Production of On-Target Reads for Small RNA Sequencing of Single Cells Using Modified Adapters.

Ruba Khnouf, Sabrina Shore, Crystal M Han, Jordana M Henderson, Sarah A Munro, Anton P McCaffrey, Hirofumi Shintaku, Juan G Santiago

Abstract readVideo-Audio Media
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. MicroRNAs and Their Profiling via Single-Cell Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

8 authors.

Ruba KhnoufDepartment of Mechanical Engineering , Stanford University , Stanford , California 94305 , United States.
Sabrina ShoreTriLink Biotechnologies LLC , San Diego , California 92121 , United States.
Crystal M HanJoint Initiative for Metrology in Biology , National Institute of Standards and Technology , Stanford , California 94305 , United States.
Jordana M HendersonTriLink Biotechnologies LLC , San Diego , California 92121 , United States.
Sarah A MunroJoint Initiative for Metrology in Biology , National Institute of Standards and Technology , Stanford , California 94305 , United States.
Anton P McCaffreyTriLink Biotechnologies LLC , San Diego , California 92121 , United States.
Hirofumi ShintakuRIKEN Cluster for Pioneering Research , Wako , Saitama 351-0198 , Japan.ORCID 0000-0002-9972-4222
Juan G SantiagoDepartment of Mechanical Engineering , Stanford University , Stanford , California 94305 , United States.ORCID 0000-0001-8652-5411

Funding

Improved Library Preparation Workflows for Next Generation SequencingR43HG006820 · NHGRI · TRILINK BIOTECHNOLOGIES, INC. · PI PAUL, NATASHA · 2013 to 2013
$133k
NHGRI NIH HHS R43 HG006820
6 · The paper itself

Abstract

Although single-cell mRNA sequencing has been a powerful tool to explore cellular heterogeneity, the sequencing of small RNA at the single-cell level (sc-sRNA-seq) remains a challenge, as these have no consensus sequence, are relatively low abundant, and are difficult to amplify in a bias-free fashion. We present two methods of single-cell-lysis that enable sc-sRNA-seq. The first method is a chemical-based technique with overnight freezing while the second method leverages on-chip electrical lysis of plasma membrane and physical extraction and separation of cytoplasmic RNA via isotachophoresis. We coupled these two methods with off-chip small RNA library preparation using CleanTag modified adapters to prevent the formation of adapter dimers. We then demonstrated sc-sRNA-seq with single K562 human leukemic cells. Our approaches offer a relatively short hands-on time of 6 h and efficient generation of on-target reads. The sc-sRNA-seq with our approaches showed detection of miRNA with various abundances ranging from 16 000 copies/cell to about 10 copies/cell. We anticipate this approach will create a new opportunity to explore cellular heterogeneity through small RNA expression.

Indexed as

Genetic StructuresHigh-Throughput Nucleotide SequencingHumansK562 CellsLab-On-A-Chip DevicesOctoxynolReproducibility of ResultsRNA, Small UntranslatedSequence Analysis, RNASingle-Cell AnalysisOctoxynolRNA, Small Untranslated

Identifiers

PMID30260208
PMCPMC6233959

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.