![]() Chuang, Cervical cancer: a global health crisis, (2017) 1–9. Jemal, Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA. The identification of proteins and their associated pathways provides a deeper understanding of the underlying molecular mechanisms involved in HPV-associated cervical cancer.Īcknowledgement: The work was funded by the Fundamental Research Grant Scheme (FRGS/1/2019/SKK13/USM/01/1) from the Ministry of Education, Malaysia. The key pathways involved were viral carcinogenesis and necroptosis, reflecting their role in cell proliferation, migration, and metastasis. The main molecular function was the binding process, and the top biological processes were chromatin silencing for SIL compared to the normal cervix and nucleosome assembly for the SCC compared to SIL group. Interestingly, the quantification results showed an upward trend for the up-regulated proteins and a downward trend for the down-regulated proteins in the progression from normal to SIL and SCC. The predominant protein found was histone. We identified a total of 3597 proteins with 589, 550, and 1570 proteins unique to the normal cervix, SIL, and SCC groups, respectively, while 332 proteins were similar across all three groups. Bioinformatics analyses were carried out using DAVID, ConsensusPathDB, and STRING. The samples were trypsin digestion and subjected to high throughput liquid chromatography-electrospray ionization-tandem mass spectrometry (LC/ESI-MS/MS) and trapped ion mobility time-of-flight-mass spectrometry (timsTOF-MS), followed by quantification with MaxQuant and Perseus software. The pathological regions of interest in the cervical squamous epithelium were micro-dissected from formalin-fixed paraffin-embedded (FFPE) tissue sections of six normal cervix cases, five HPV-associated squamous intraepithelial lesion (SIL), and six squamous cell carcinomas (SCC). This study aims to elucidate the differentially expressed proteins and offer insights into the cellular processes and pathways involved in the development of cervical cancer. However, the proteome alterations involved in cervical carcinogenesis are not extensively studied. Tissue-based proteomics is an evolving tool used in cancer research to characterize the pathophysiology of disease. Gaayathri Kumarasamy 1, Mohd Nazri Ismail 1, 2, Sharifah Emilia Tuan Sharif 3, Christopher Desire 4, Parul Mittal 4, Peter Hoffmann 4 and Gurjeet Kaur 1 1Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia 2Analytical Biochemistry Research Centre (ABrC), Universiti Sains Malaysia, 11900 Bayan Lepas, Pulau Pinang, Malaysia 3Department of Pathology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia 4Clinical Health Sciences, University of South Australia, City West Campus, Adelaide, South Australia, 5000, Australia Correspondence: Gurjeet Kaur The International Conference on Molecular Diagnostics & Biomarker Discovery 2022 (MDBD 2022)
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12/8/2023 0 Comments Pathfinder career test2021\r\n\r\nThis data set includes a 3-character code associated with each skill that is not present in the original - General learning resources mapped to SFIA 7 only.Data Capability Framework v1 - This is the APS Data Capability Framework created by the Data Profession to describe the unique capabilities required in data roles.data-roles-1 - For testing purposes. ![]() Note that this represents the data the information changed in our master records, not the date it was uploaded to .Explainer document - DRAFT - document that explains the career pathways framework and elements used by APS Career Pathfinder.typical_aps-classifications.csv - Classifications relating to roles in the typical_aps-roles datasetato-roles.csv - ATO HR Roles for testing purposesato-classifications.csv - Classifications relating to the ato-roles datasetato-skills-1.csv - ATO Capability Framework, skills componentsato-knowledge-1.csv - ATO Capability Framework - knowledge components onlygoverp-roles.csv - GovERP rolessfia-skills-7.csv - Skills Framework for the Information Ages (SFIA) version 7.sfia-skills-8.csv - Skills Framework for the Information Age (SFIA) version 8.ciisec-skills-2.4.csv - Chartered Institute of Information Security (CIISec) Skills Framework version 2.4knowledge.csv - Knowledge indicator used for typical_aps rolesinfluence.csv - Span of influence indicator for typical_aps rolessfia-learning.csv - General learning assets mapped to SFIA 7 and SFIA 8.ato-knowledge-levels.csv - Provides the name of the ato-knowledge - APS Data Capability Framework 1 Nov. 2023 release includes a new field indicating the date each role record was last updated. 2023 release includes Data roles provided by the Data Profession.\r\nThe upload restores Data roles and Workforce planner roles removed by previous March upload.\r\nThe Jun 2023 release includes more role descriptions and more aliases.Typical APS Roles - human readable form - This is the same data included in the typical_aps-roles.csv dataset, but presented in a more human readable form in an Excel spreadsheet.\r\n\r\nIt includes the essential and desirable skill requirements for all typical APS roles, described using the Skills Framework for the Information Age (SFIA), APS Data Capability Framework (DCF), APS Workforce Planning Capability Framework (APSWFP) and the Chartered Institute of Information Security (CIISec) frameworks.\r\n\r\nThe Jan. The attributes included in this dataset are described in the Explainer document.\r\n\r\nThe Jan. ![]() Ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id= Career Pathfinder&rft.identifier=aps-career-pathfinder&rft.publisher=&rft.description=typical_aps-roles.csv - This dataset describes roles typically found in the Australian Public Service, on which many jobs in various agencies are based. |
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