Evidence map›Paper›PMID 32567019›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

mRNA-Based Reprogramming Under Xeno-Free and Feeder-Free Conditions.

Jakob Jeriha, Nikola Kolundzic, Preeti Khurana, Andrea Perez-Dominguez, Dusko Ilic

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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. Review
  2. 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

5 authors.

Jakob JerihaStem Cell Laboratory, Assisted Conception Unit, School of Life Course Sciences, Department of Women and Children's Health, Faculty of Life Sciences & Medicine, King's College London, London, UK. jakob.jeriha@kcl.ac.uk.
Nikola KolundzicStem Cell Laboratory, Assisted Conception Unit, School of Life Course Sciences, Department of Women and Children's Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Preeti KhuranaStem Cell Laboratory, Assisted Conception Unit, School of Life Course Sciences, Department of Women and Children's Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Andrea Perez-DominguezStem Cell Laboratory, Assisted Conception Unit, School of Life Course Sciences, Department of Women and Children's Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Dusko IlicStem Cell Laboratory, Assisted Conception Unit, School of Life Course Sciences, Department of Women and Children's Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reprogramming somatic cells into induced pluripotent stem cells (iPSC) has provided a gateway for many novel discoveries in the field of tissue engineering, regenerative medicine and cell therapy. The need for an efficient, less laborious and fast reprogramming protocol under xeno-free, feeder-free and chemically defined conditions has never been greater. Here we describe a novel approach to reprogramming using the StemRNA 3rd Gen Reprogramming Kit (ReproCELL) which encompasses non-modified microRNAs (NM-miRNA), non-modified E3, K3, B18R RNAs (EKB NM-RNA) and non-modified mRNAs for six crucial transcription factors (OSKMNL NM-RNA).

Indexed as

Cellular ReprogrammingInduced Pluripotent Stem CellsCell DifferentiationFibroblastsRegenerative MedicineRNA, MessengerRNA, MessengerChemically definedFeeder-freeiPSCmiRNAmRNAReprogrammingXeno-free

Identifiers

PMID32567019

What OpenQuestion 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 OpenQuestion graph.