Evidence map›Paper›PMID 29882813›Full record

ReviewCells2018

Nanopipettes as Monitoring Probes for the Single Living Cell: State of the Art and Future Directions in Molecular Biology.

Gonca Bulbul, Gepoliano Chaves, Joseph Olivier, Rifat Emrah Ozel, Nader Pourmand

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

9 citing papers in PubMed, 46 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Gonca BulbulDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. gbulbul@ucsc.edu.
Gepoliano ChavesDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. gchaves@ucsc.edu.ORCID 0000-0002-8911-0542
Joseph OlivierDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. joolivie@ucsc.edu.
Rifat Emrah OzelDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. ozel.emrah@gmail.com.
Nader PourmandDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. pourmand@soe.ucsc.edu.
University of California, Santa Cruz · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examining the behavior of a single cell within its natural environment is valuable for understanding both the biological processes that control the function of cells and how injury or disease lead to pathological change of their function. Single-cell analysis can reveal information regarding the causes of genetic changes, and it can contribute to studies on the molecular basis of cell transformation and proliferation. By contrast, whole tissue biopsies can only yield information on a statistical average of several processes occurring in a population of different cells. Electrowetting within a nanopipette provides a nanobiopsy platform for the extraction of cellular material from single living cells. Additionally, functionalized nanopipette sensing probes can differentiate analytes based on their size, shape or charge density, making the technology uniquely suited to sensing changes in single-cell dynamics. In this review, we highlight the potential of nanopipette technology as a non-destructive analytical tool to monitor single living cells, with particular attention to integration into applications in molecular biology.

Indexed as

nanobiopsynanogenomicsnanopipettesensingsingle cell

Identifiers

PMID29882813
PMCPMC6024992
OpenAlexW2806723865

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.