Evidence map›Paper›PMID 27798288›Full record

ArticleThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society2016

Cell Line Macroarray: An Alternative High-Throughput Platform to Analyze hiPSC Lines.

Alberto La Spada, Simona Baronchelli, Linda Ottoboni, Francesca Ruffini, Gianvito Martino, Nunzia Convertino, Aikaterini Ntai, Tobias Steiner, Ida Biunno, Andrea De Blasio

Abstract read
In one paragraph

Article in The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. The Application of the Tissue Microarray (TMA) Technology to Analyze Cerebral Organoids.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. 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

10 authors.

Alberto La SpadaInstitute of Genetic and Biomedical Research, National Research Council (IRGB-CNR), Milan, Italy (ALS, SB, IB).
Simona BaronchelliInstitute of Genetic and Biomedical Research, National Research Council (IRGB-CNR), Milan, Italy (ALS, SB, IB).
Linda OttoboniInstitute of Experimental Neurology (INSpe), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy (LO, FR, GM).
Francesca RuffiniInstitute of Experimental Neurology (INSpe), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy (LO, FR, GM).
Gianvito MartinoInstitute of Experimental Neurology (INSpe), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy (LO, FR, GM).
Nunzia ConvertinoIRCCS MultiMedica, Milan, Italy (NC, IB).
Aikaterini NtaiIntegrated Systems Engineering Srl, Milan, Italy (AN, ADB).
Tobias SteinerTissueGnostics GmbH, Vienna, Austria (TS)
Ida BiunnoInstitute of Genetic and Biomedical Research, National Research Council (IRGB-CNR), Milan, Italy (ALS, SB, IB).
Andrea De BlasioIntegrated Systems Engineering Srl, Milan, Italy (AN, ADB).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, tissue microarray (TMA) technology has evolved as an innovative tool for high-throughput proteomics analysis and mainly for biomarker validation. Similarly, enormous amount of data can be obtained from the cell line macroarray (CLMA) technology, which developed from the TMA using formalin-fixed, paraffin-embedded cell pellets. Here, we applied CLMA technology in stem cell research and in particular to identify bona fide neogenerated human induced pluripotent stem cell (hiPSC) clones suitable for down the line differentiation. All hiPSC protocols generate tens of clones, which need to be tested to determine genetically stable cell lines suitable for differentiation. Screening methods generally rely on fluorescence-activated cell sorting isolation and coverslip cell growth followed by immunofluorescence; these techniques could be cumbersome. Here, we show the application of CLMA to identify neogenerated pluripotent cell colonies and neuronal differentiated cell products. We also propose the use of the automated image analyzer, TissueQuest, as a reliable tool to quickly select the best clones, based upon the level of expression of multiple pluripotent biomarkers.

Indexed as

Cell DifferentiationCell LineHigh-Throughput Screening AssaysHumansInduced Pluripotent Stem CellsNeuronsTissue Array Analysiscell line macroarrayhigh-throughput screening and quantificationhiPSC clones

Identifiers

PMID27798288
PMCPMC5131746

What OpenQuestion holds

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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.