ADEM OZCELIK^1,*, OZGE CEVIK²

BIOCELL, Vol.47, No.5, pp. 959-964, 2023, DOI:10.32604/biocell.2023.028371

Abstract Exosomes are important biomarkers for clinical diagnosis. It is critical to isolate secreted exosomes from bodily fluids such as blood, saliva, breast milk, and urine for liquid biopsy applications. The field of microfluidics provides numerous benefits for biosample processing, diagnostics, and prognostics. Several microfluidics-based methods have been employed for the isolation and purification of exosomes in the last ten years. These microfluidic methods can be grouped into two categories based on passive and active isolation mechanisms. In the first group, inertial and hydrodynamic forces are employed to separate exosomes based on their size differences. In the second group, external forcefields… More >

OMER ERDOGAN¹, GULEN MELIKE DEMIRBOLAT², OZGE CEVIK^1,*

BIOCELL, Vol.47, No.5, pp. 1051-1063, 2023, DOI:10.32604/biocell.2023.028129

Abstract Background: Raloxifene, a selective estrogen receptor modulator, is also known to be a lysosomotropic agent. The bioavailability of raloxifene is around 2% due to extensive hepatic transport. Exosomes are nanosized vesicles that are naturally released from cells. Method: In this study, exosomes released from HeLa cervical cancer cells were loaded with raloxifene to increase its bioavailability, and an aptamer was attached to the exosome membrane for targeting only HeLa cells. Characterization of exosomes isolated from HeLa cells was performed by transmission electron microscopy, zeta sizer, and western blotting. In addition, the cytotoxic, apoptotic, autophagic, and lysosomotropic effects of the prepared… More >

YANGYI HE^1,2, DAVID SANCHEZ-LORENTE^3,4,5, MELISSA ACOSTA-PLASENCIA¹, MARC BOADA^3,4,5, ANGELA GUIRAO^3,4,5, RAMON M. MARRADES^4,5,6,7, LAUREANO MOLINS^3,4,5, ALFONS NAVARRO^1,4,5,*

BIOCELL, Vol.47, No.5, pp. 951-957, 2023, DOI:10.32604/biocell.2023.027718

Abstract Tumor-secreted extracellular vesicles (EVs) participate in the metastasis process through different mechanisms, including the preparation of the pre-metastatic niche to grant circulating tumor cells (CTCs) implantation and growth. The study of the metastasis process through the analysis of CTCs and tumor-derived EVs is difficult because of the dilution grade of these elements in peripheral blood. In early-stage lung cancer patients, the tumor-secreted products are even more diluted. An attractive strategy in surgical lung cancer patients is to purify them from a pulmonary tumor-draining vein where they are enriched. The information obtained from the analysis of EVs and CTCs purified from… More >

QIAOLING WU^1,2, ZHAOLEI CUI³, HONGMEI XIA¹, SHAN JIANG¹, JING BAI⁴, ZHUO SHAO⁴, YANG SUN^1,*

BIOCELL, Vol.47, No.5, pp. 1039-1050, 2023, DOI:10.32604/biocell.2023.027494

Abstract Background: Ovarian cancer (OC) is a leading cause of gynecological cancer-linked deaths worldwide. Exosomal miR-1825 and its target gene C-type lectin domain family 5 member A (CLEC5A) are associated with tumorigenesis in cancers that was further probed. Methods: Exosomal miR-1825 expression in exosomes and its impact on overall survival (OS) prediction were determined using Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data. Target genes of miR-1825 were searched in five prediction databases and prognostically significant differentially expressed genes were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were carried out. The… More >

XIN TIAN, XIANGLING HE^*, SHUQIN QIAN, RUNYING ZOU, KEKE CHEN, CHENGGUANG ZHU, ZEXI YIN

BIOCELL, Vol.47, No.5, pp. 1085-1093, 2023, DOI:10.32604/biocell.2023.027090

Abstract Background: The immunomodulatory effects of mesenchymal stem cells (MSCs) and their exosomes have been receiving increasing attention. This study investigated the immunoregulatory effects of human amniotic mesenchymal stem cells (hAMSCs) and their exosomes on phytohemagglutinin (PHA)-induced peripheral blood mononuclear cells (PBMCs). Methods: The hAMSCs used in the experiment were identified by light microscopy and flow cytometry, and the differentiation ability of the cells was determined by Oil Red O and Alizarin Red staining. The expressions of transforming growth factor (TGF)-β, indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2 (COX-2), hepatocyte growth factor (HGF), and interleukin (IL)-6 were detected by quantitative real-time polymerase chain reaction… More >

Manal Abdullah Alohali¹, Muna Elsadig¹, Fahd N. Al-Wesabi², Mesfer Al Duhayyim³, Anwer Mustafa Hilal^4,*, Abdelwahed Motwakel⁴

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3087-3102, 2023, DOI:10.32604/csse.2023.036802

Abstract With the advent of the Internet of Things (IoT), several devices like sensors nowadays can interact and easily share information. But the IoT model is prone to security concerns as several attackers try to hit the network and make it vulnerable. In such scenarios, security concern is the most prominent. Different models were intended to address these security problems; still, several emergent variants of botnet attacks like Bashlite, Mirai, and Persirai use security breaches. The malware classification and detection in the IoT model is still a problem, as the adversary reliably generates a new variant of IoT malware and actively… More >

Khaled M. Alalayah¹, Fatma S. Alrayes², Mohamed K. Nour³, Khadija M. Alaidarous¹, Ibrahim M. Alwayle¹, Heba Mohsen⁴, Ibrahim Abdulrab Ahmed⁵, Mesfer Al Duhayyim^6,*

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3103-3119, 2023, DOI:10.32604/csse.2023.034034

Abstract Malware is a ‘malicious software program that performs multiple cyberattacks on the Internet, involving fraud, scams, nation-state cyberwar, and cybercrime. Such malicious software programs come under different classifications, namely Trojans, viruses, spyware, worms, ransomware, Rootkit, botnet malware, etc. Ransomware is a kind of malware that holds the victim’s data hostage by encrypting the information on the user’s computer to make it inaccessible to users and only decrypting it; then, the user pays a ransom procedure of a sum of money. To prevent detection, various forms of ransomware utilize more than one mechanism in their attack flow in conjunction with Machine… More >

Ramzy S. Hamied¹, Zaidoon M. Shakor^2,*, Anfal H. Sadeiq¹, Adnan A. Abdul Razak², Ammar T. Khadim³

Energy Engineering, Vol.120, No.6, pp. 1371-1386, 2023, DOI:10.32604/ee.2023.028441

Abstract Recently, the isomerization of light naphtha has been increasingly significant in assisting refiners in meeting sternness specifications for gasoline. Isomerization process provides refiners with the advantage of reducing sulfur, olefin, and benzene in the gasoline basin without significantly victimizing the octane. The mathematical modeling of a chemical reaction is a critical tool due to it can used to optimize the experimental data to estimate the optimum operating conditions for industrial reactors. This paper describes light naphtha isomerization reactions over a Pt/Al₂O₃-Cl catalyst at the Al-Dura Oil Refinery (Baghdad, Iraq) using a newly developed universal mathematical model. The proposed kinetic model… More >

Ehsan Momeni¹, Biao He², Yasin Abdi^3,*, Danial Jahed Armaghani⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2527-2550, 2023, DOI:10.32604/cmes.2023.026531

Abstract When building geotechnical constructions like retaining walls and dams is of interest, one of the most important factors to consider is the soil’s shear strength parameters. This study makes an effort to propose a novel predictive model of shear strength. The study implements an extreme gradient boosting (XGBoost) technique coupled with a powerful optimization algorithm, the salp swarm algorithm (SSA), to predict the shear strength of various soils. To do this, a database consisting of 152 sets of data is prepared where the shear strength (τ) of the soil is considered as the model output and some soil index tests… More >

Mesfer Al Duhayyim^1,*, Heba G. Mohamed², Fadwa Alrowais³, Fahd N. Al-Wesabi⁴, Anwer Mustafa Hilal⁵, Abdelwahed Motwakel⁵

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1293-1310, 2023, DOI:10.32604/csse.2023.035589

Abstract The Internet of Things (IoT) has gained more popularity in research because of its large-scale challenges and implementation. But security was the main concern when witnessing the fast development in its applications and size. It was a dreary task to independently set security systems in every IoT gadget and upgrade them according to the newer threats. Additionally, machine learning (ML) techniques optimally use a colossal volume of data generated by IoT devices. Deep Learning (DL) related systems were modelled for attack detection in IoT. But the current security systems address restricted attacks and can be utilized outdated datasets for evaluations.… More >