Evidence map›Paper›PMID 29261115›Full record

ArticleGenes2017

Using Human iPSC-Derived Neurons to Uncover Activity-Dependent Non-Coding RNAs.

Mainá Bitar, Stefanie Kuiper, Elizabeth O'Brien, Guy Barry

Open access · goldAbstract read
In one paragraph

Article in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Cellular Landscape of Synovial Chondromatosis Synovium Revealed by Single-Cell RNA Sequencing.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Mainá BitarQIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia. Maina.Bitar@qimrberghofer.edu.au.
Stefanie KuiperQIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia. stefanie.kuiper@griffithuni.edu.au.
Elizabeth O'BrienQIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia. Elizabeth.O'Brien@qimrberghofer.edu.au.
Guy BarryQIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia. Guy.Barry@qimrberghofer.edu.au.
QIMR Berghofer Medical Research Institute · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are arguably the most complex organisms present on Earth with their ability to imagine, create, and problem solve. As underlying mechanisms enabling these capacities reside in the brain, it is not surprising that the brain has undergone an extraordinary increase in size and complexity within the last few million years. Human induced pluripotent stem cells (hiPSCs) can be differentiated into many cell types that were virtually inaccessible historically, such as neurons. Here, we used hiPSC-derived neurons to investigate the cellular response to activation at the transcript level. Neuronal activation was performed with potassium chloride (KCl) and its effects were assessed by RNA sequencing. Our results revealed the involvement of long non-coding RNAs and human-specific genetic variants in response to neuronal activation and help validate hiPSCs as a valuable resource for the study of human neuronal networks. In summary, we find that genes affected by KCl-triggered activation are implicated in pathways that drive cell proliferation, differentiation, and the emergence of specialized morphological features. Interestingly, non-coding RNAs of various classes are amongst the most highly expressed genes in activated hiPSC-derived neurons, thus suggesting these play crucial roles in neural pathways and may significantly contribute to the unique functioning of the human brain.

Indexed as

human-specificiPSCneuronal activationneuronsnon-coding RNARNA-Seqstem cells

Identifiers

PMID29261115
PMCPMC5748719
OpenAlexW2776118383

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.