Characterization of Blood-Derived Exosomes for Diagnostics Insights in Neurological Diseases / (Record no. 612948)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02196nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tahir, Javaria |
| 245 ## - TITLE STATEMENT | |
| Title | Characterization of Blood-Derived Exosomes for Diagnostics Insights in Neurological Diseases / |
| Statement of responsibility, etc. | Javaria Tahir |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad: |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST. 2024; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 87p. |
| Other physical details | Soft Copy, |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | Exosomes, nanosized extracellular vesicles, are emerging as potential non-invasive<br/>biomarkers for diagnosing neurological disorders. In this study, we explored the isolation<br/>and characterization of blood-derived exosomes to assess their diagnostic relevance.<br/>Blood samples were collected from two groups: a control group of individuals without<br/>neurological disorders and a patient group diagnosed with various neurological<br/>conditions. Plasma was extracted using differential centrifugation to remove cellular<br/>debris, apoptotic bodies, and larger vesicles. Exosomes were isolated from the plasma<br/>using a polymer-based precipitation method optimized with PEG-6000 to achieve high<br/>yield and purity. The isolated exosomes were then characterized using Scanning Electron<br/>Microscopy (SEM) to verify their morphology and methylene blue staining to confirm<br/>their extracellular vesicular nature. After staining, RNA was extracted from the exosomes<br/>using TRIzol, followed by cDNA synthesis to analyze the molecular profile. Gel<br/>electrophoresis was performed to assess the quality of the cDNA, and RT-PCR was<br/>conducted to detect biomarkers associated with neurological disorders. These molecular<br/>analyses provided insights into the differences between the control and diseased groups,<br/>highlighting potential biomarkers for disease diagnosis. The results of this study promise<br/>valuable insights into the potential properties of blood-derived exosomes in advancing<br/>non-invasive diagnostics for neurological diseases by contributing to early detection<br/>strategies and paving the way for improved patient care through innovative diagnostic<br/>tools. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Biomedical Sciences (BMS) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Saima Zafar |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/50093">http://10.250.8.41:8080/xmlui/handle/123456789/50093</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 02/25/2025 | 610 | SMME-TH-1116 | Thesis |