Evidence map›Paper›PMID 36033677›Full record

ReviewACS omega2022

Carbon Quantum Dots for Stem Cell Imaging and Deciding the Fate of Stem Cell Differentiation.

Misba Majood, Piyush Garg, Radhika Chaurasia, Aakanksha Agarwal, Sujata Mohanty, Monalisa Mukherjee

Abstract readReview
In one paragraph

Review in ACS omega, 2022. 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. Review
  2. Advancing Nanomedicine: For Bone Defect Repair and Regeneration.International journal of nanomedicine · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. 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

6 authors.

Misba MajoodAmity Institute of Click Chemistry Research and Studies, Amity University Uttar Pradeshs, Noida 201313, India.ORCID https://orcid.org/0000-0003-4219-1389
Piyush GargAmity Institute of Click Chemistry Research and Studies, Amity University Uttar Pradeshs, Noida 201313, India.
Radhika ChaurasiaAmity Institute of Click Chemistry Research and Studies, Amity University Uttar Pradeshs, Noida 201313, India.
Aakanksha AgarwalAmity Institute of Click Chemistry Research and Studies, Amity University Uttar Pradeshs, Noida 201313, India.ORCID https://orcid.org/0000-0001-8835-5268
Sujata MohantyStem Cells Facility, DBT-Centre of Excellence, All India Institute of Medical Sciences, New Delhi 110029, India.
Monalisa MukherjeeAmity Institute of Click Chemistry Research and Studies, Amity University Uttar Pradeshs, Noida 201313, India.ORCID https://orcid.org/0000-0002-7493-0409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanotechnology advancements and applications have paved the way for new possibilities in regenerative medicine and tissue engineering. It is a relatively new field that has the potential to improve stem cell differentiation and therapy greatly. Numerous studies have demonstrated that nanomaterials can function as a physiological niche for the formation and differentiation of stem cells. However, quantum dots (QDs), such as carbon quantum dots (CQDs) and graphene quantum dots (GQDs), have shown considerable promise in the field of regenerative medicine. To date, most research has focused on stem cell tracking and imaging using CQDs. However, their interaction with stem cells and the associated possibility for differentiation by selectively focusing chemical signals to a particular lineage has received scant attention. In this mini-review, we attempt to categorize a few pathways linked with the role of CQDs in stem cell differentiation.

Identifiers

PMID36033677
PMCPMC9404166

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.