Evidence map›Paper›PMID 36275474›Full record

SynthesisPeerJ2022

Gene expression profiles for

Shahrul Hisham Zainal Ariffin, Ker Wei Lim, Rohaya Megat Abdul Wahab, Zaidah Zainal Ariffin, Rus Dina Rus Din, Muhammad Ashraf Shahidan, Anis Nabilah Johari, Intan Zarina Zainol Abidin

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. A novel deletion upstream ofFrontiers in genetics · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

8 authors at 3 institutions in 1 country.

Shahrul Hisham Zainal AriffinDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Ker Wei LimDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Rohaya Megat Abdul WahabCentre of Family Dental Health, Faculty of Dentistry, Universiti Kebangsaan Malaysia, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia.
Zaidah Zainal AriffinSchool of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Rus Dina Rus DinForensic Science Programme, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Muhammad Ashraf ShahidanDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Anis Nabilah JohariDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Intan Zarina Zainol AbidinCentre for Research and Graduate Studies, University of Cyberjaya, Cyberjaya, Selangor, Malaysia.
National University of Malaysia · MYUniversiti Teknologi MARA · MYUniversity of Cyberjaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There have been promising results published regarding the potential of stem cells in regenerative medicine. However, the vast variety of choices of techniques and the lack of a standard approach to analyse human osteoblast and osteoclast differentiation may reduce the utility of stem cells as a tool in medical applications. Therefore, this review aims to systematically evaluate the findings based on stem cell differentiation to define a standard gene expression profile approach. Methods: This review was performed following the PRISMA guidelines. A systematic search of the study was conducted by retrieving articles from the electronic databases PubMed and Web of Science to identify articles focussed on gene expression and approaches for osteoblast and osteoclast differentiation. Results: Six articles were included in this review; there were original articles of Conclusion: Qualitative information of gene expression provided by qPCR could become a standard technique to analyse the differentiation of human stem cells into osteoblasts and osteoclasts rather than evaluating relative gene expression.

Indexed as

OsteoclastsTranscriptomeCell DifferentiationHumansOsteoblastsStem CellsDifferentiationHumanMolecular analysisOsteoblastOsteoclastStem cell

Identifiers

PMID36275474
PMCPMC9583853
OpenAlexW4306398935

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.