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ALMatrafi TA, Mohammedsaleh ZM, Moawadh MS, Bassfar Z, Jalal MM, Badahdah FA, Alghamdi YS, Almasoudi HH, Hakami MA, Binshaya AS, Almohaimeed HM, Soliman MH. Identification of potential biomarkers for melanoma cancer (black tumor) using bioinformatics strategy: a study based on GEO and SRA datasets. J Appl Genet 2024; 65:83-93. [PMID: 37875608 DOI: 10.1007/s13353-023-00794-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/26/2023]
Abstract
Melanoma, a highly invasive type of skin cancer that penetrates the entire dermis layer, is associated with increased mortality rates. Excessive exposure of the skin to sunlight, specifically ultraviolet radiation, is the underlying cause of this malignant condition. The appearance of unique skin moles represents a visible clue, referred to as the "ugly duckling" sign, indicating the presence of melanoma and its association with cellular DNA damage. This research aims to explore potential biomarkers derived from microarray data, employing bioinformatics techniques and methodologies, for a thorough investigation of melanoma skin cancer. The microarray dataset for melanoma skin cancer was obtained from the GEO database, and thorough data analysis and quality control measures were performed to identify differentially expressed genes (DEGs). The top 14 highly expressed DEGs were identified, and their gene information and protein sequences were retrieved from the NCBI gene and protein database. These proteins were further analyzed for domain identification and network analysis. Gene expression analysis was conducted to visualize the upregulated and downregulated genes. Additionally, gene metabolite network analysis was carried out to understand the interactions between highly interconnected genes and regulatory transcripts. Molecular docking was employed to investigate the ligand-binding sites and visualize the three-dimensional structure of proteins. Our research unveiled a collection of genes with varying expression levels, some elevated and others reduced, which could function as promising biomarkers closely linked to the development and advancement of melanoma skin cancer. Through molecular docking analysis of the GINS2 protein, we identified two natural compounds (PubChem-156021169 and PubChem-60700) with potential as inhibitors against melanoma. This research has implications for early detection, treatment, and understanding the molecular basis of melanoma.
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Affiliation(s)
| | - Zuhair M Mohammedsaleh
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, 71491, Tabuk, Saudi Arabia
| | - Mamdoh S Moawadh
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, 71491, Tabuk, Saudi Arabia
| | - Zaid Bassfar
- Faculty of Computing and Information Technology, University of Tabuk, Tabuk, Saudi Arabia
| | - Mohammed M Jalal
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, 71491, Tabuk, Saudi Arabia
| | - Fatima Ahmed Badahdah
- Surgical Department, Prince Sultan Military Medical City, PSMMC, Riyadh, Saudi Arabia
| | - Youssef S Alghamdi
- Department of Biology, Turabah University College, Taif University, 21995, Taif, Saudi Arabia
| | - Hassan Hussain Almasoudi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Mohammed Ageeli Hakami
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al-Quwayiyah, Shaqra University, Riyadh, Saudi Arabia
| | - Abdulkarim S Binshaya
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, 11942, AlKharj, Saudi Arabia
| | - Hailah M Almohaimeed
- Department of Basic Science, College of Medicine, Princess Nourah bint Abdulrahman, University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - Mona H Soliman
- Botany and Microbiology Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
- Biology Department, Faculty of Science, Taibah University, Al-Sharm, Yanbu El-Bahr, Yanbu, 46429, Saudi Arabia.
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Al-Hazani TMI, Al-Qahtani WS, Abboosh TS, Safhi FA, Alshaya DS, Jalal AS, Al-Shamrani SM, Al-Ghamdi NA, Alotaibi AM, Alotaibi MA, Alghamdi HS, Alafari HA, ALMatrafi TA, Alshehri E. Detecting STR profiles from degrading menstrual blood samples and their use as possible evidence in forensic investigations. Forensic Sci Int 2023; 343:111562. [PMID: 36657183 DOI: 10.1016/j.forsciint.2023.111562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/29/2022] [Accepted: 01/05/2023] [Indexed: 01/08/2023]
Abstract
This research explores DNA consistency and attempts to detect STR profiles from the degrading menstrual blood samples (MBS) as reliable forensic evidence. Peripheral (PBS) and MBS of 30 healthy fertile females were taken on the menstrual cycle's second day. They were obtained at different time periods (0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 24, and 48 h) at 25 °C. DNA evaluation was fulfilled to analyze DNA profiles. A considerable elevation in the median concentrations of DNA between 0 and 14-h intervals were documented, whereas decreased extents were registered between 16 and 48 h. Moreover, complete STR profiles (24/24) for DNA were discovered in all the intervals (0, 2, and 48 h). Periods of 0-8 h demonstrated the maximum extents of DNA materials. Full STR were discovered in all the intervals (0, 2, and 48 h). Eventually, MBS can be utilized as forensic evidence.
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Affiliation(s)
- Tahani Mohamed Ibrahim Al-Hazani
- Department of Biology, College of Sciences and Humanities, Prince Sattam Bin Abdulaziz University, P.O. Box: 83, Al-Kharj 11940, Saudi Arabia.
| | - Wedad Saeed Al-Qahtani
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University for Security Sciences, P.O. Box 6830, Riyadh 11452, Saudi Arabia.
| | - Tahani Saeed Abboosh
- Ministry of Interior, Public Security, Forensic Evidence Laboratories, Criminal Examinations, Riyadh, Saudi Arabia.
| | - Fatmah Ahmed Safhi
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Dalal S Alshaya
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Areej Saud Jalal
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Salha M Al-Shamrani
- University of Jeddah, College of Science, Department of Biology, P.O. Box 13151, Jeddah 21493, Saudi Arabia.
| | | | | | | | - Hanan S Alghamdi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
| | - Hayat Ali Alafari
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | | | - Eman Alshehri
- Department of Zoology, College of Science, King Saud University, Saudi Arabia.
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