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Molecular and Cellular Diagnostic Models

Submission Deadline: 31 January 2021 (closed)

Guest Editors

Dr. Binwu Ying, Sichuan University, yingbinwu@scu.edu.cn

Dr. Wei Xu, University of Toronto, Wei.Xu@uhnres.utoronto.ca

Dr. Mengyuan Lyu (Assistant Guest Editor), Sichuan University, mengyuanlvscu@foxmail.com

Summary

The development of molecular biology and cytology promotes the progress of traditional medicine to personalized medicine. At the same time, the evolution of computer technology accelerates machine learning and bioinformatics to be increasingly integrated into molecular biology and cytology and thus drives a milestone shift in these two fields, especially in traditionally molecular and cellular diagnostic pattern.

Nowadays, more and more scholars prefer to construct molecular or cellular diagnostic models due to high specificity, rapid testing and the contribution of revealing the pathogenesis of targeted diseases. Some excellent molecular and cellular diagnostic models have been reported and exhibit outstanding performance in original training and testing sets. However, practical problems are obliged to be considered, such as the generalization ability of models, practicality in resource-limited regions and the feasibility of simultaneously measuring variables included in models. In this Special Issue, BIOCELL will focus on researches that build molecular and cellular diagnostic model for diseases, compare performance of different molecular and cellular diagnostic models for a given disease or evaluate reported molecular and cellular diagnostic models from various perspectives. Any innovative researches are encouraged!

Keywords

Molecular Biology and Cytology, Diagnostic Model, Machine Learning

Published Papers

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Open Access

ARTICLE

Calcium supplementation in colorectal cancer prevention: A systematic meta-analysis of adverse events
XUE MEI LUO, SHAHANAVAJ KHAN, ABDUL MALIK, FAHAD M. ALDAKHEEL, ANIS AHMAD CHAUDHARY, SHOUKI BAZARBASHI, FATEMEH TABATABAIE
BIOCELL, Vol.46, No.3, pp. 759-767, 2022, DOI:10.32604/biocell.2022.016586
（This article belongs to this Special Issue: Molecular and Cellular Diagnostic Models)
Abstract Despite the multiple systematic reviews and meta-analyses accumulating evidence on the preventive effect of calcium supplementation for colorectal cancer, most of the associated adverse effects are not systematically analyzed. The aim of the study is evaluating adverse events associated with calcium supplementation for colorectal cancer prevention through a systematic meta-analysis. We searched Medline, PubMed Central, EMBASE (Excerpta Medica database), Scopus, Cochrane Central Register of Controlled Trials, and Web of Science published in English from database inception up to 31 July 2019. In the current systematic meta-analysis, we included human studies (including cohort studies, clinical trials, case-control studies) on supplementation of… More >

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ARTICLE

Silencing of Astrocyte Elevated Gene-1 (AEG-1) inhibits the proliferative and invasive potential through interaction with Exostosin-1 (EXT-1) in primary and metastatic colon cancer cells
SUSHMITHA SRIRAMULU, SARUBALA MALAYAPERUMAL, SUMAN K. NANDY, ANTARA BANERJEE, MUSTHAFA MOHAMED ESSA, SARAVANABABU CHIDAMBARAM, M. WALID QORONFLEH, SURAJIT PATHAK
BIOCELL, Vol.45, No.3, pp. 563-576, 2021, DOI:10.32604/biocell.2021.014756
（This article belongs to this Special Issue: Molecular and Cellular Diagnostic Models)
Abstract Colon cancer is the third major cause of cancer deaths, accounting for about 8% in terms of mortality globally. The present study aims to explore the effect of silencing Astrocyte Elevated Gene-1 (AEG-1), a metastasis mediating factor, and how it interacts with Exostosin-1 (EXT-1) protein to inhibit the proliferative and invasive potential in colon cancer cells. Forward siRNA transfection was performed using AEG-1 siRNA in SW480 and SW620 colon cancer cell lines, and the expression levels of mRNA and protein were analyzed by Real-time PCR and Immunofluorescence. A simple bioinformatics approach was carried out to identify the possible interactions between… More >

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ARTICLE

TRIP13 is identified as a prognosis biomarker for renal clear cell carcinoma and promotes renal cell carcinoma cell proliferation, migration and invasion
BENJIANG QIAN, XIAOYAN YING, GUANG YANG, HUIZHANG LI, JIANMING TAN
BIOCELL, Vol.45, No.3, pp. 577-588, 2021, DOI:10.32604/biocell.2021.014972
（This article belongs to this Special Issue: Molecular and Cellular Diagnostic Models)
Abstract This work aimed to discover new therapeutic targets in renal clear cell carcinoma by bioinformatics and detect the effect of candidate gene TRIP13 in renal cell carcinoma (RCC) cell proliferation, migration, and invasion. Differentially expressed mRNAs were screened based on The Cancer Genome Atlas (TCGA)-Kidney Renal Clear Cell Carcinoma (KIRC) databases, and functional enrichments, survival analysis, receiver operating characteristic curve (ROC), and Protein–Protein Interaction (PPI) protein interaction analysis were performed by R software to screen the candidate gene TRIP13. Then, the expression of candidate gene TRIP13 in 92 pairs of cancer and adjacent normal tissues of renal clear cell carcinoma… More >

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ARTICLE

Phylogenetic analysis of microRNA biomarkers for amyotrophic lateral sclerosis
HSIUYING WANG
BIOCELL, Vol.45, No.3, pp. 547-561, 2021, DOI:10.32604/biocell.2021.014343
（This article belongs to this Special Issue: Molecular and Cellular Diagnostic Models)
Abstract Amyotrophic lateral sclerosis (ALS), also called Lou Gehrig’s disease, is an irreversible disease that is caused by the degeneration and death of motor neurons. Approximately 5–10% of cases are familial ALS (fALS), and the other cases are sporadic ALS (sALS). Gene mutations have been identified both in fALS and sALS patients. In this study, we discuss the four ALS-related genes, C9orf72, SOD1, FUS, and TARDBP, and review the microRNAs (miRNAs) that are associated with ALS and other neurological disorders from the literature. A phylogenetic analysis is used to explore potential miRNAs that can be taken into account when studying the… More >

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ARTICLE

PathVisio Analysis: An Application Targeting the miRNA Network Associated with the p53 Signaling Pathway in Osteosarcoma
MERVIN BURNETT, VITO RODOLICO, FAN SHEN, ROGER LENG, MINGYONG ZHANG, DAVID D. EISENSTAT, CONSOLATO SERGI
BIOCELL, Vol.45, No.1, pp. 17-26, 2021, DOI:10.32604/biocell.2021.013973
（This article belongs to this Special Issue: Molecular and Cellular Diagnostic Models)
Abstract MicroRNAs (miRNAs) are small single-stranded, non-coding RNA molecules involved in the pathogenesis and progression of cancer, including osteosarcoma. We aimed to clarify the pathways involving miRNAs using new bioinformatics tools. We applied WikiPathways and PathVisio, two open-source platforms, to analyze miRNAs in osteosarcoma using miRTar and ONCO.IO as integration tools. We found 1298 records of osteosarcoma papers associated with the word “miRNA”. In osteosarcoma patients with good response to chemotherapy, miR-92a, miR- 99b, miR-193a-5p, and miR-422a expression is increased, while miR-132 is decreased. All identified miRNAs seem to be centered on the TP53 network. This is the first application of… More >

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Molecular and Cellular Diagnostic Models

Guest Editors

Summary

Keywords

Published Papers

View

3882

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1061

View

2265

Download

1617

Cited by

1

View

2811

Download

1557

Cited by

1

View

2481

Download

1704

Cited by

2

View

2262

Download

1314

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