Life Sciences Commons^™

Prognostic Gene Biomarkers For C-Src Inhibitor Si162 Sensitivity In Melanoma Cells, Seyhan Türk, Ayşegül Yilmaz, Ümit Yavuz Malkan, Gülberk Uçar, Can Türk

Turkish Journal of Biology

Background/aim: Early detection and treatment are crucial in combating malignant melanoma. Src is an important therapeutic target in melanoma due to its association with cancer progression. However, developing effective Src-targeting drugs remains challenging and personalized medicine relies on biomarkers and targeted therapies for precise and effective treatment. This study focuses on Si162, a newly synthesized c-Src inhibitor, to identify reliable biomarkers for predicting Si162 sensitivity and explore associated biological characteristics and pathways in melanoma cells. Materials and methods: Primary melanoma cells (M1, M21, M24, M84, M133, M307, and M2025) were obtained from patients diagnosed with melanoma. Si162 cytotoxicity tests were …

Expression Patterns Of M6a Rna Methylation Regulators Under Apoptotic Conditions In Various Human Cancer Cell Lines, Azime Akçaöz Alasar, Buket Sağlam, İpek Erdoğan Vatansever, Bünyamin Akgül

Turkish Journal of Biology

Background/aim: Cancer is a complex disease that involves both genetic and epigenetic factors. While emerging evidence clearly suggests that changes in epitranscriptomics play a crucial role in cancer pathogenesis, a comprehensive understanding of the writers, erasers, and readers of epitranscriptomic processes, particularly under apoptotic conditions remains lacking. The aim of this study was to uncover the changes in the expression of m6A RNA modifiers under apoptotic conditions across various cancer cell lines. Materials and methods: Initially, we quantified the abundance of m6A RNA modifiers in cervix (HeLa and ME180), breast (MCF7 and MDA-MB-231), lung (A549 and H1299), and colon (CaCo2 …

Tnfr1 Signaling Is Positively Regulated By Jak-2 And C-Src Via Tyrosine Phosphorylation, Fatma Zehra Hapi̇l Zevkli̇ler, Fatma Ece Çopuroğlu, Mustafa Gökhan Ertosun, Ufuk Mert, Derya Özeş, Osman Nidai Özeş

Turkish Journal of Biology

Background/aim: Tumor necrosis factor alpha (TNFα, a.k.a. TNF) is a pleiotropic cytokine that exerts most of its effects through type 1 TNF receptor (TNFR1). Following TNF binding, TNFR1 recruits TRADD (tumor necrosis factor receptor type 1-associated DEATH domain). This interaction triggers formation of signalosome complexes which have been claimed to induce apoptosis (via downstream caspase activations), inflammation (via NF-kappaB) and stress pathways (JNK & p38). However, the mechanism underlying TNF-induced ERK and AKT activation is not completely revealed. TNFR1 is known to constitutively bind c-Src and JAK2, and these enzymes were previously demonstrated to modulate TNF signaling. Therefore, we hypothesized …

Investigations Of The Eutectic Formation And Skin Rejuvenation By Hyaluronan - Kojic Acid Dipalmitate System, Syed Waqar Hussain Shah, Sumbal Imran, Iram Bibi, Kashif Ali, Nadia Bashir

Karbala International Journal of Modern Science

Eutectic phenomenon has been investigated in binary system based on biopolymer hyaluronan (HN) and kojic acid dipalmitate (KAD). Solid-liquid phase diagram showed a significant dependence of melting points on weight fraction of KAD up to KAD < 0.5. A negligible regain to melting temperature of pure KAD occurred later. Simulations of molecular mechanics using a four-unit segment of HN and KAD revealed the interaction between carbonyl of KAD with 4-OH on N-acetylglucosamine unit of oligomer. Infrared vibrational spectroscopy also endorsed the existence of a weakly interacting system. Such behavior was expected due to steric hinderance and rigidity of biopolymer. The thermal decomposition temperature of HN (i.e., 215 °C) was increased to 322 °C in HK50 having HN and KAD in 1:50 w/w. Bioelectric impedance analysis revealed that these green materials could promote skin health in humans.

Synthesis And Characterization Of Renewable Heterogeneous Catalyst Zno Supported Biogenic Silica From Pineapple Leaves Ash For Sustainable Biodiesel Conversion, Nadila Pratiwi, Suriati Eka Putri, Yulia Shinta, Arya Ibnu Batara, Diana Eka Pratiwi, Abd Rahman, Nur Ahmad, Heryanto Heryanto

Karbala International Journal of Modern Science

This study reports on the first case of the low-cost and environmentally friendly ZnO/SiO2 heterogeneous catalyst from pineapple leaves ash (PLA). Catalyst shows excellent performance in catalyzing the transesterification of waste cooking oil (WCO) with methanol for biodiesel conversion. This study focuses on assessing the influence of Zn content on physicochemical characteristics, using XRD, FTIR, SEM, and N2 adsorption-desorption methods. In addition, three different Zn content levels (20, 25, and 30 %wt) were applied. The results showed that all ZnO/SiO2 samples exhibited characteristics suitable for use as catalyst with an average crystallite size of 31.83-34.15 nm, and a surface area …

Butterworth Filter To Reduce Reactivity Fluctuations, Daniel Suescún-Díaz, Geraldyne Ule-Duque, Luis E. Cardoso-Páez

Karbala International Journal of Modern Science

In this study, we introduce the calculation of reactivity in nuclear reactors. The proposed method uses the Euler-Maclaurin series to approximate the integral in the inverse equation of point kinetics. The approximation is done with the first three terms, the first term represents the approximation of a zero-order sum, the second term the trapezoidal rule and the third term the first Bernoulli number. These three terms improve the approximation, along with an estimate of the neutron density using the prompt jump approximation. To reduce neutron density fluctuations, a second-order Butterworth filter for the reactivity calculation was implemented, which offers the …

Machine Learning Model And Molecular Docking For Screening Medicinal Plants As Hiv-1 Reverse Transcriptase Inhibitors, Muthia Rahayu Iresha, Firdayani Firdayani, Agam Wira Sani, Nihayatul Karimah, Shelvi Listiana, Irfansyah Yudhi Tanasa, Arief Sartono, Ayu Masyita

Karbala International Journal of Modern Science

The human immunodeficiency virus type 1 reverse transcriptase (HIV-1 RT) plays a significant role in viral replication and is one of the targets for anti-HIV. However, a mutation in viral strains rapidly developed the resistance of the com-pounds to the protein, reducing the effectiveness of the inhibitors. This work seeks to utilize machine learning-based quantitative structure-activity relationship (QSAR) analysis in combination with molecular docking simulations to forecast the presence of active compounds derived from medicinal plants. Specifically, the objective is to identify com-pounds that have the potential to operate as inhibitors of HIV-1 reverse transcriptase (RT), encompassing both wild-type and …

Multi-Agent System For Portfolio Profit Optimization For Future Stock Trading, Usha Devi, Mohan R

Karbala International Journal of Modern Science

Stock trading highly contributes to the economic growth of the country. The stock trading objective is to earn profits with buy/sell/hold decisions on the set of stocks in the portfolio. The portfolio optimization problem is finding the decision sequence that leads to higher profit and lower risk. Portfolio optimization is challenging due to complex price history patterns and an uncertain environment. Incorrect decisions in stock trading lead to massive losses. The proposed Multi-Agent System for Portfolio Profit Optimization (MASPPO) aims to optimize trading profit and reduce risk with accurate predictions. The proposed model integrates the Fuzzy c-means with the Deep …

Bioethics Of Human Cloning: Are We Playing God?, Caleb Smith

NEXUS: The Liberty Journal of Interdisciplinary Studies

No abstract provided.

Formulation Of Preservation Solutions For Model Generation With In Vivo Tissue Morphology, Holly Pickett

The Journal of Purdue Undergraduate Research

No abstract provided.

The Effect Of Various Polyphenols On Associative Memory Loss And Dementia In A Drosophila Melanogaster Model Of Alzheimer’S Disease, Anagha Gowda

Journal of the South Carolina Academy of Science

Alzheimer’s Disease (AD), a prominent neurodegenerative disease (NDD), is the seventh leading cause of death in the United States; however, little is known about prevention. As a result, polyphenols (plant-based compounds) and other natural substances have been studied for their therapeutic potential in improving cognition and memory in AD cases. While the impacts of each polyphenol (phenolic acids, flavonoids, stilbenes, and lignans) contain fundamental similarities, each varies slightly in its impacts on the brain.The purpose of this study was to examine the impacts of polyphenol subgroups on associative memory in AD, tested by building an olfactory association, through the use …

The Effect Of Rosmarinus Officinalis And Trachyspermum Ammi On The Growth Of Eruca Vesicaria Ssp. Sativa In Hydroponics Versus Natural Soil, Emna Guedhami

Journal of the South Carolina Academy of Science

Despite technology being developed to address the food shortages due to increasing population, current methods of cultivating crops are not sufficient. Scientists are addressing this issue by researching biostimulants that stimulate plant growth without harming the environment and researching the use of hydroponics, a way of growing crops without soil. The purpose of this study was to combine the use of essential oils and growing methods (hydroponics and soil) and measure its impact on the height of E. sativa. It was hypothesized that if E. sativa was grown hydroponically with added Rosmarinus officinalis (REO) and Trachyspermum ammi (TEO) over time, …

The Effect Of Crystalline Phase On The Toxicity Of Tio2 Nanoparticles To Chlorella, Jisoo Lee

Journal of the South Carolina Academy of Science

Nanoparticles (NPs), or particles with dimensions that go below 100 nanometers, can be released into the environment in various ways, such as through cosmetic products like sunscreen. Titanium dioxide (TiO₂) is a commonly used nanoparticle in sunscreen, and it has the potential to be harmful to various aquatic organisms including algae. The purpose of this study was to examine how the crystalline phase of TiO₂ NPs (brookite or rutile) influenced their toxicity to the microalgae species Chlorella. It was hypothesized that brookite phase TiO₂ NPs would inhibit the growth of Chlorella more than rutile phase TiO …

The Combined And Individual Effects Of Azadirachta Indica L. Oil And Nahco3 On The Inhibition Of F. Oxysporum, Neya Murugesan

Journal of the South Carolina Academy of Science

F. oxysporum is the causal agent of Fusarium wilt. This disease is known to penetrate the roots of plants and wilt the vascular system. The most common method for control is through the use of synthetic fungicides, which are known to cause adverse effects on the environment and human health. Thus, it is necessary that more methods of biocontrol be explored. Current literature shows that various salts and essential oils are effective for the biocontrol of F. oxysporum. However, the two types of substances have not yet been tested together, causing a gap in current research. Due to the antifungal …

The Effect Of The Addition Of Carrot Seed Oil And Raspberry Seed Oil On The Uv Intensity Of A Sunscreen, Isra Siddique

Journal of the South Carolina Academy of Science

With continuous developments in research indicating the potential health risks of chemical sunscreen filters, the novel approach of incorporating natural oils with UV light blocking properties has been explored. Natural oils extracted from fruit and vegetables have been proven to possess photoprotective properties, but their effectiveness in combination with synthetic sunscreen filters has not been as thoroughly investigated. The purpose of this study was to determine whether the addition of carrot and raspberry seed oil to an SPF 30 sunscreen would decrease the UV intensity of UVB light passing through the sunscreen and oil mixture. It was hypothesized that if …

The Effect Of Exposure To Lentinula Edodes And Flammulina Velutipes On The Biodegradation Of Crystallized Polylactic Acid, Iraine Taine

Journal of the South Carolina Academy of Science

Crystallized polylactic acid (CPLA) is a prevalent bioplastic which, despite being biodegradable, is extremely resistant to decomposition in natural environments. As a result, CPLA waste contamination is rapidly becoming a prevalent issue. Lentinula edodes and Flammulina velutipes are two widespread white-rot fungi whose capabilities for bioplastic degradation have not been examined. This study aimed to determine a natural approach for reducing plastic waste by evaluating the ability of L. edodes and F. velutipes to degrade CPLA bioplastic. It was hypothesized that CPLA samples would decrease in mass when individually treated with L. edodes and F. velutipes due to their similarities …

Table Of Contents

Journal of the South Carolina Academy of Science

No abstract provided.

The Comparative Impact Of Acesulfame-Potassium, Stevia Extract, And Monk Fruit On The Lifespan Of Drosophila Melanogaster, Beverly Holton

Journal of the South Carolina Academy of Science

Non-nutritive sweeteners (NNS), non-caloric sweetening devices, have been widely commercialized to reduce sugar consumption. This intent has associated NNS with health benefits, though reports have correlated the consumption of these substitutes with noncommunicable diseases. The interaction between NNS and distinct physiological processes has been examined, though research into the broader implications of these interactions, toward longevity, for instance, is lacking. The purpose of this study was to compare the impact of three recently FDA-approved NNS - acesulfame-Potassium (ace-K), stevia, and monk fruit - on the survival of Drosophila melanogaster, a model species for longevity research, to discern the possible impacts …

Genome-Wide Profiling Of Novel Conserved Zea Mays Micrornas Along With Their Key Biological, Molecular And Cellular Targets And Validation Using An Rt-Pcr Platform, Abdul Baqi, Sami Ullah, Muhammad Ayub, Muhammad Zafar Saleem, Ghulam Mustafa Khan, Asad Ullah

Karbala International Journal of Modern Science

MicroRNAs (miRNAs), which are typically non-coding RNAs that start off as endogenous molecules and regulate post-transcriptional levels of gene expression by mRNA degradation or translational repression. They are 18–26 nucleotides long, evolutionarily conserved and essential for predicting novel miRNAs in a variety of plants. Maize (Zea mays) is a significant food and forage crop in the globe today. In the present study, many maize miRNAs have been found to be associated with both plant development and responses to stress. In this study, 66 unique conserved maize miRNAs from 65 different miRNA families were predicted using several genomics-based methods …

The Role Of Cu (0-0.03) And Zn (0.02) Substitution On The Structural, Optical And Magnetic Properties Of Mgo Nanoparticles, S. Naseem Shah, Atif Dawar, Yasmeen Bibi, Abid Ali, M. Asif Siddiqui

Karbala International Journal of Modern Science

The co-precipitation method was employed to prepared Cu (0-0.03) and Zn (0.02) dual doped MgO nanoparticles. The secondary phases of CuO and Cu₂O were observed along with the cubical phase of MgO. The doping induced effect was noticed for the crystallite size variations (14.39-19.89 nm). The morphological transformation from spherical to rice-like shape were observed. The estimated values of optical bandgap (4.66-4.45 eV) were well correlated with the crystallite size and dopant concentrations. The ferromagnetic ordering was observed at room temperature and the enchantment in the coercivity (142.27 Oe) with Zn (0.02) doping was noticed. Such type of …

Treatment Of Oil Refinery Wastewater Polluted By Heavy Metal Ions Via Adsorption Technique Using Non-Valuable Media: Cadmium Ions And Buckthorn Leaves As A Study Case, Salem Jawad Alhamd, Mohammed Nsaif Abbas, Mehrdad Manteghian, Thekra Atta Ibrahim, Karar Dawood Salman Jarmondi

Karbala International Journal of Modern Science

This study focuses on the removal of cadmium ions generated by oil refinery wastewater, employing an agricultural by-product. Buckthorn leaves, sourced from Baghdad and Diyala provinces, underwent preparation, including washing, drying, crushing, and sieving before being utilized in experiments. Batch experiments were conducted using simulated solutions to assess the impact of six key adsorption design parameters: pH, cadmium concentration, agitation speed, contact time, adsorbent dosage, and temperature. The highest adsorption efficiency, reaching 94.4367%, was directly correlated with contact time, adsorbent dosage, pH value, and agitation speed, and inversely related to other variables. Morphological studies on the treated adsorbent, indicated structural …

Diving At High Altitude: O2 Transport And Utilization In The Ruddy Duck And Torrent Duck In The Andes, Kevin G. Mccracken, Graham R. Scott, Luis Alza, Andrea Astie, Ciska Bakkeren, Emil Bautista, Mariana Bulgarella, Rebecca Cheek G. Cheek, Beverly A. Chua, Neal J. Dawson, Alexis Diaz, Catherine M. Ivy, Peter B. Frappell, Cecilia Kopuchian, Sabine L. Laguë, John N. Maina, Violeta Muñoz-Fuentes, Elizabeth R. Schell, Matthew M. Smith, Ryan J. Sprenger, Pablo L. Tubaro, Elizabeth R. Schell, Matthew M. Smith, Ryan J. Sprenger, Pablo L. Tubaro, Thomas Valqui, Roy E. Weber, Daniela Wilner, Robert E. Wilson, Julia M. York, William K. Milsom

Occasional Papers of the Museum of Natural Science, Louisiana State University

Hypoxia and cold temperatures create unique physiological challenges for high-altitude organisms that can vary depending on lifestyle. While nearly all studies of air-breathing animals at high altitude are from terrestrial species, species that breath-hold dive underwater at high altitude encounter a very different set of selective pressures influencing their phenotype. The goal of this publication is to highlight the changes in O2 transport and utilization in high-altitude diving birds relative to divers at sea level, and the extent to which these changes are qualitatively distinct from phenotypic changes in non-diving species at high altitude. For example, while high capacities for …

Investigating Scube3 Nuclear Localization In Presence Of Doxorubicin Treatment In Triple Negative Breast Cancer Cells, Lillian Ergle

Merge

Signal peptide-CUB-EGF-like domain-containing protein 3 (SCUBE3) is a glycosylated secreted protein. Prior to its secretion, SCUBE3 localizes in the cytoplasm. We observed that SCUBE3 protein trans-localized to the nucleus following Doxorubicin (DOX) treatment. DOX is one of the strongest chemotherapeutic agents and the first-line drug used in breast cancer treatment. SCUBE3 structural analysis showed that it lacks a DNA binding domain. Based on this observation and other preliminary data, we hypothesized that nuclear SCUBE3 protein promotes the survival of cells against Doxorubicin treatment. To investigate this hypothesis, we made a wild-type construct and three constructs with mutated nuclear localization sequences …

Konsep Diagnosis Dan Penatalaksanaan Fraktur Osteoporosis Terkini, I Gusti Ngurah Wien Aryana, Febyan Febyan

Jurnal Penyakit Dalam Indonesia

Osteoporosis is a metabolic bone disease that is caused by a decreased amount of bone mass, and microarchitectural damage to bone tissue that affects the bone to break easily. Osteoporosis can be divided into primary and secondary etiologies. Vertebral, hip, distal radius, and proximal humerus are the most common predilection of fracture complication due to osteoporosis. The diagnosis of osteoporotic fractures is established based on the identification of risk factors, general clinical manifestations, specific manifestation from each fracture predilection, and advanced examinations, including radiology imaging and dual-energy x-ray absorptiometry. The purpose of osteoporotic fractures management in elderly is a stable …

Optimization Of The Bio-Synthesis Of Magnesium Nanoparticles From Staphylococcus Haemolyticus: A Pilot Study, Mariam Bassam, Malak Mezher, Mahmoud Khalil

BAU Journal - Science and Technology

Nanotechnology is developing rapidly. This field has many influences in humans’ life. Nanoparticles (NPs) have many unique properties including the size, shape, morphology, and surface area. The synthesis of NPs could be achieved by three ways: physical, chemical, and biological. However, the biological synthesis of NPs has a priority on the other domains due to its safety and environmental friendship. In this regard, the main objective of this study was to synthesize magnesium (Mg) NPs from the bacterium S. haemolyticus which was isolated from the Lebanese wastewater. Different parameters were applied to detect the best conditions to produce the highest …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer

Turkish Journal of Biology

Deep learning is a powerful machine learning technique that can learn from large amounts of data using multiple layers of artificial neural networks. This paper reviews some applications of deep learning in bioinformatics, a field that deals with analyzing and interpreting biological data. We first introduce the basic concepts of deep learning and then survey the recent advances and challenges of applying deep learning to various bioinformatics problems, such as genome sequencing, gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. We also discuss future directions and opportunities for deep learning in bioinformatics. We aim to provide an …

Compcorona: A Web Application For Comparative Transcriptome Analyses Ofcoronaviruses Reveals Sars-Cov-2-Specific Host Response, Rana Sali̇hoğlu, Fati̇h Saraçoğlu, Mustafa Si̇bai̇, Tali̇p Zengi̇n, Başak Abak Masud, Onur Karasoy, Tuğba Önal Süzek

Turkish Journal of Biology

Background/aim: Understanding the mechanism of host transcriptomic response to infection by the SARS-CoV-2 virus is crucial, especially for patients suffering from long-term effects of COVID-19, such as long COVID or pericarditis inflammation, potentially linked to side effects of the SARS-CoV-2 spike proteins. We conducted comprehensive transcriptome and enrichment analyses on lung and peripheral blood mononuclear cells (PBMCs) infected with SARS-CoV-2, as well as on SARS-CoV and MERS-CoV, to uncover shared pathways and elucidate their common disease progression and viral replication mechanisms. Materials and methods: We developed CompCorona, the first interactive online tool for visualizing gene response variance among the family …

Physicochemical Differences Between Camelid Single-Domain Antibodies And Mammalian Antibodies, Nazli Eda Eski̇er, Doğa Eski̇er, Esi̇n Fi̇ruzan, Si̇bel Kalyoncu

Turkish Journal of Biology

Background/aim: In recent years, single-domain antibodies, also known as nanobodies, have emerged as an alternative to full immunoglobulin Gs (IgGs), due to their various advantages including increased solubility, faster clearance, and cheaper production. Nanobodies are generally derived from the variable domain of the camelid heavy-chain-only immunoglobulin Gs (hcIgGs). Due to the high sequence homology between variable heavy chains of camelids (VHHs) and humans (VHs), hcIgGs are ideal candidates for nanobody development. However, further examination is needed to understand the structural differences between VHs and VHHs. This analysis is essential for nanobody engineering to mitigate potential immunogenicity while preserving stability, functionality, …

Svm-Do: Identification Of Tumor-Discriminating Mrna Signatures Via Support Vectormachines Supported By Disease Ontology, Mustafa Erhan Özer, Pemra Özbek Sarica, Kazim Yalçin Arğa

Turkish Journal of Biology

Background/aim: The complicated nature of tumor formation makes it difficult to identify discriminatory genes. Recently, transcriptome-based supervised classification methods using support vector machines (SVMs) have become popular in this field. However, the inclusion of less significant variables in the construction of classification models can lead to misclassification. To improve model performance, feature selection methods such as enrichment analysis can be used to extract useful variable sets. The detection of genes that can discriminate between normal and tumor samples in the association of cancer and disease remains an area of limited information. We therefore aimed to discover novel and practical sets …