Evidence map›Paper›PMID 33405224›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

A Microfluidic/Microscopy-Based Platform for on-Chip Controlled Gene Expression in Mammalian Cells.

Mahmoud Khazim, Elisa Pedone, Lorena Postiglione, Diego di Bernardo, Lucia Marucci

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Mahmoud Khazim *Department of Engineering Mathematics, University of Bristol, Bristol, UK.
Elisa Pedone *Department of Engineering Mathematics, University of Bristol, Bristol, UK.
Lorena Postiglione *Department of Engineering Mathematics, University of Bristol, Bristol, UK.
Diego di Bernardo *Telethon Institute of Genetics and Medicine, Pozzuoli (NA), Italy.
Lucia Marucci *Department of Engineering Mathematics, University of Bristol, Bristol, UK. lucia.marucci@bristol.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Medical Research Council MR/N021444/1
6 · The paper itself

Abstract

Applications of control engineering to mammalian cell biology have been recently implemented for precise regulation of gene expression. In this chapter, we report the main experimental and computational methodologies to implement automatic feedback control of gene expression in mammalian cells using a microfluidics/microscopy platform.

Indexed as

Gene ExpressionAlgorithmsAnimalsGenetic EngineeringHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesCell segmentationControl algorithmsFeedback controlMammalian cellMicrofluidicsPDMS

Identifiers

PMID33405224

What Socratic 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 Socratic graph.