Evidence map›Paper›PMID 28344971›Full record

ReviewFrontiers in chemistry2017

How to Train a Cell-Cutting-Edge Molecular Tools.

Jakub Czapiński, Michał Kiełbus, Joanna Kałafut, Michał Kos, Andrzej Stepulak, Adolfo Rivero-Müller

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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.

Jakub CzapińskiDepartment of Biochemistry and Molecular Biology, Medical University of LublinLublin, Poland; Postgraduate School of Molecular Medicine, Medical University of WarsawWarsaw, Poland.
Michał KiełbusDepartment of Biochemistry and Molecular Biology, Medical University of Lublin Lublin, Poland.
Joanna KałafutDepartment of Biochemistry and Molecular Biology, Medical University of Lublin Lublin, Poland.
Michał KosDepartment of Biochemistry and Molecular Biology, Medical University of Lublin Lublin, Poland.
Andrzej StepulakDepartment of Biochemistry and Molecular Biology, Medical University of Lublin Lublin, Poland.
Adolfo Rivero-MüllerDepartment of Biochemistry and Molecular Biology, Medical University of LublinLublin, Poland; Turku Centre for Biotechnology, University of Turku and Åbo Akademi UniversityTurku, Finland; Department of Biosciences, Åbo Akademi UniversityTurku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In biological systems, the formation of molecular complexes is the currency for all cellular processes. Traditionally, functional experimentation was targeted to single molecular players in order to understand its effects in a cell or animal phenotype. In the last few years, we have been experiencing rapid progress in the development of ground-breaking molecular biology tools that affect the metabolic, structural, morphological, and (epi)genetic instructions of cells by chemical, optical (optogenetic) and mechanical inputs. Such precise dissection of cellular processes is not only essential for a better understanding of biological systems, but will also allow us to better diagnose and fix common dysfunctions. Here, we present several of these emerging and innovative techniques by providing the reader with elegant examples on how these tools have been implemented in cells, and, in some cases, organisms, to unravel molecular processes in minute detail. We also discuss their advantages and disadvantages with particular focus on their translation to multicellular organisms for

Indexed as

cell communicationcontrolling behaviorgene editinggene expression regulationoptogeneticsprotein interactionssignaling pathwayssynthetic biology

Identifiers

PMID28344971
PMCPMC5344921

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.