Evidence map›Paper›PMID 26213926›Full record

ReviewInternational journal of molecular sciences2015

Technologies for Single-Cell Isolation.

Andre Gross, Jonas Schoendube, Stefan Zimmermann, Maximilian Steeb, Roland Zengerle, Peter Koltay

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
196citing papers in PubMed, 1 pooled it
–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

196 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Review
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  12. Advanced Microfluidics for Single Cell-Based Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  13. [Progress of scRNA-seq technology in nasopharyngeal carcinoma research].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Review
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136 more citing papers are in PubMed but not listed here.

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

6 authors.

Andre GrossLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, Freiburg 79110, Germany. andre.gross@imtek.uni-freiburg.de.
Jonas SchoendubeLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, Freiburg 79110, Germany. jonas.schoendube@imtek.uni-freiburg.de.
Stefan ZimmermannLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, Freiburg 79110, Germany. stefan.zimmermann@imtek.uni-freiburg.de.
Maximilian SteebLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, Freiburg 79110, Germany. maximilian.steeb@outlook.de.
Roland ZengerleLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, Freiburg 79110, Germany. Roland.Zengerle@imtek.uni-freiburg.de.
Peter KoltayLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, Freiburg 79110, Germany. Peter.Koltay@imtek.uni-freiburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The handling of single cells is of great importance in applications such as cell line development or single-cell analysis, e.g., for cancer research or for emerging diagnostic methods. This review provides an overview of technologies that are currently used or in development to isolate single cells for subsequent single-cell analysis. Data from a dedicated online market survey conducted to identify the most relevant technologies, presented here for the first time, shows that FACS (fluorescence activated cell sorting) respectively Flow cytometry (33% usage), laser microdissection (17%), manual cell picking (17%), random seeding/dilution (15%), and microfluidics/lab-on-a-chip devices (12%) are currently the most frequently used technologies. These most prominent technologies are described in detail and key performance factors are discussed. The survey data indicates a further increasing interest in single-cell isolation tools for the coming years. Additionally, a worldwide patent search was performed to screen for emerging technologies that might become relevant in the future. In total 179 patents were found, out of which 25 were evaluated by screening the title and abstract to be relevant to the field.

Indexed as

AnimalsCell SeparationHumansMarketingPatents as TopicSingle-Cell Analysisflow cytometrylaser microdissectionlimiting dilutionmicrofluidicssingle-cell analysissingle-cell handlingsingle-cell separationsingle-cell technologies

Identifiers

PMID26213926
PMCPMC4581176

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.