Evidence map›Paper›PMID 34406655›Full record

ArticleBiotechnology and bioengineering2021

Design of transfections: Implementation of design of experiments for cell transfection fine tuning.

Sara Mancinelli, Andrea Turcato, Annamaria Kisslinger, Antonella Bongiovanni, Valeria Zazzu, Antonella Lanati, Giovanna Lucia Liguori

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Transfection reflections: fit-for-purpose delivery of nucleic acids.Nature reviews. Molecular cell biology · 2023
    Article
  6. Article
  7. Review
  8. Article
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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

7 authors at 4 institutions in 1 country.

Sara MancinelliInstitute of Genetics and Biophysics (IGB), National Research Council (CNR), Naples, Italy.ORCID 0000-0002-6290-5425
Andrea TurcatoValore Qualità, Pavia, Italy.
Annamaria KisslingerInstitute of Experimental Endocrinology and Oncology (IEOS), National Research Council (CNR), Naples, Italy.
Antonella BongiovanniInstitute for Research and Biomedical Innovation (IRIB), National Research Council (CNR), Palermo, Italy.
Valeria ZazzuInstitute of Genetics and Biophysics (IGB), National Research Council (CNR), Naples, Italy.
Antonella LanatiValore Qualità, Pavia, Italy.
Giovanna Lucia LiguoriInstitute of Genetics and Biophysics (IGB), National Research Council (CNR), Naples, Italy.ORCID 0000-0002-7239-3224
Institute of Genetics and Biophysics · ITPavia nel Cuore · ITInstitute for Biomedical Research and Innovation · ITInstitute for Experimental Endocrinology and Oncology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfection is the process by which nucleic acids are introduced into eukaryotic cells. This is fundamental in basic research for studying gene function and modulation of gene expression as well as for many bioprocesses in the manufacturing of clinical-grade recombinant biologics from cells. Transfection efficiency is a critical parameter to increase biologics' productivity; the right protocol has to be identified to ensure high transfection efficiency and therefore high product yield. Design of experiments (DoE) is a mathematical method that has become a key tool in bioprocess development. Based on the DoE method, we developed an operational flow that we called "Design of Transfections" (DoT) for specific transfection modeling and identification of the optimal transfection conditions. As a proof of principle, we applied the DoT workflow to optimize a cell transfection chemical protocol for neural progenitors, using polyethyleneimine (PEI). We simultaneously varied key influencing factors, namely concentration and type of PEI, DNA concentration, and cell density. The transfection efficiency was measured by fluorescence imaging followed by automatic counting of the green fluorescent transfected cells. Taking advantage of the DoT workflow, we developed a new simple, efficient, and economically advantageous PEI transfection protocol through which we were able to obtain a transfection efficiency of 34%.

Indexed as

Gene ExpressionTransfectionAnimalsCell Line, TransformedMiceNeural Stem CellsPlasmidscell transfectiondesign of experiments (DoE)neural progenitorsoptimizationpolyethyleneimine (PEI)

Identifiers

PMID34406655
PMCPMC9291525
OpenAlexW3194823460

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.