Evidence map›Paper›PMID 27088312›Full record

ArticleNature methods2016

High-efficiency cellular reprogramming with microfluidics.

Camilla Luni, Stefano Giulitti, Elena Serena, Luca Ferrari, Alessandro Zambon, Onelia Gagliano, Giovanni G Giobbe, Federica Michielin, Sebastian Knöbel, Andreas Bosio and 1 more

Abstract read
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In one paragraph

Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 103 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

11 authors at 2 institutions in 2 countries.

Camilla LuniDepartment of Industrial Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-1211-9629
Stefano GiulittiDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Elena SerenaDepartment of Industrial Engineering, University of Padova, Padova, Italy.ORCID 0000-0001-7990-8852
Luca FerrariDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Alessandro ZambonDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Onelia GaglianoDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Giovanni G GiobbeDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Federica MichielinDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Sebastian KnöbelMiltenyi Biotec GmbH, Bergisch Gladbach, Germany.
Andreas BosioMiltenyi Biotec GmbH, Bergisch Gladbach, Germany.
Nicola ElvassoreDepartment of Industrial Engineering, University of Padova, Padova, Italy.
University of Padua · ITMiltenyi Biotec (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report that the efficiency of reprogramming human somatic cells to induced pluripotent stem cells (hiPSCs) can be dramatically improved in a microfluidic environment. Microliter-volume confinement resulted in a 50-fold increase in efficiency over traditional reprogramming by delivery of synthetic mRNAs encoding transcription factors. In these small volumes, extracellular components of the TGF-β and other signaling pathways exhibited temporal regulation that appears critical to acquisition of pluripotency. The high quality and purity of the resulting hiPSCs (μ-hiPSCs) allowed direct differentiation into functional hepatocyte- and cardiomyocyte-like cells in the same platform without additional expansion.

Indexed as

Cells, CulturedCellular ReprogrammingCellular Reprogramming TechniquesFibroblastsHumansInduced Pluripotent Stem CellsMicrofluidicsRNA, MessengerRNA, Messenger

Identifiers

PMID27088312
OpenAlexW2339814286

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.