Evidence map›Paper›PMID 37600342›Full record

ArticleOncology letters2023

Role of miR‑let‑7c‑5p/c‑myc signaling axis in the committed differentiation of leukemic THP‑1 cells into monocytes/macrophages.

Ruijing Sun, Chaozhe Wang, Yufang Wang, Yunhua Wu, Pengchao Du, Xiaolin Sun, Qing Li, Kehong Bi, Guosheng Jiang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 1 country.

Ruijing SunDepartment of Immunology, School of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Chaozhe WangDepartment of Immunology, School of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Yufang WangDepartment of Laboratory Medicine, Fushan District People's Hospital, Yantai, Shandong 265500, P.R. China.
Yunhua WuDepartment of Immunology, School of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Pengchao DuDepartment of Immunology, School of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Xiaolin SunDepartment of Laboratory Medicine, Zibo First Hospital, Zibo, Shandong 255200, P.R. China.
Qing LiDepartment of Laboratory Medicine, Zibo First Hospital, Zibo, Shandong 255200, P.R. China.
Kehong BiDepartment of Hematology, The First Affiliated Hospital of Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250062, P.R. China.
Guosheng JiangDepartment of Immunology, School of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Binzhou Medical University · CNBinzhou University · CNCentral Hospital of Zibo · CNShandong First Medical University · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a preliminary experiment, it was found that c-myc expression was decreased following the differentiation of THP-1 cells into monocytes/macrophages induced by phorbol 12-myristate 13 acetate (PMA) + lipopolysaccharide (LPS) + interferon (IFN)-γ. The expression of miR-let-7c-5p was then found to be elevated by cross-sectional analysis using TargetScan and PubMed and differential microarray analysis. The present study aimed to investigate the role of the miR-let-7c-5p/c-myc signaling axis in the committed differentiation of THP-1 leukemic cells into monocytes/macrophages induced by PMA + LPS + IFN-γ. Human THP-1 leukemic cells were induced to differentiate into monocytes/macrophages by PMA + LPS + IFN-γ. Following induction for 48 h, the growth density of the THP-1 cells was observed directly under an inverted microscope, cell proliferation was measured using Cell Counting Kit-8 assay and the cell cycle and the expression of differentiation-related antigens (CD11b and CD14) were measured using flow cytometry. The mRNA expression of miR-let-7c-5p and c-myc was detected using reverse transcription-quantitative PCR and the protein expression of c-myc was detected using western blot analysis. Dual luciferase reporter gene analysis was used to detect the targeted binding of miR-let-7c-5p on the 3'UTR of c-myc. The relative expression of miR-let-7c-5p and c-myc genes in THP-1 cells induced by PMA + LPS + IFN-γ was found to be up- and downregulated respectively, and expression of miR-let-7c-5p was negatively correlated with the expression of c-myc gene. Dual luciferase reporter gene assays confirmed that miR-let-7c-5p targeted the 3'UTR of c-myc and inhibited luciferase activity. Following transfection with miR-let-7c-5p mimics, the expression of c-myc was markedly downregulated and the proliferative ability of the THP-1 cells was decreased, while the expression rate of CD11b and CD14 was significantly increased. The rescue experiment revealed that the effects of miR-let-7c-5p mimics on the proliferation and differentiation of THP-1 cells were attenuated by transfection with c-myc overexpression vector. Together, the findings of the present study demonstrated that miR-let-7c-5p can target the 3'UTR region of c-myc and that the miR-let-7c-5p/c-myc signaling axis is one of the critical pathways involved in the directional differentiation of leukemic cells into monocytes/macrophages.

Indexed as

c-mycinduced differentiationleukemic cellsmacrophagemicroRNA-let-7c-5p

Identifiers

PMID37600342
PMCPMC10433716
OpenAlexW4385428273

What OpenQuestion 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 OpenQuestion graph.