CRISPR-integrated Biosensors for Human Health: Novel strategies for pathogen detection and cancer screening
dc.contributor.author | He, Yawen | en |
dc.contributor.committeechair | Chen, Juhong | en |
dc.contributor.committeemember | Sun, Wei | en |
dc.contributor.committeemember | Wright, Robert Clay | en |
dc.contributor.committeemember | Duraj-Thatte, Anna | en |
dc.contributor.department | Biological Systems Engineering | en |
dc.date.accessioned | 2025-06-07T08:03:58Z | en |
dc.date.available | 2025-06-07T08:03:58Z | en |
dc.date.issued | 2025-05-22 | en |
dc.description.abstract | Rapid and accurate detection of pathogens and genetic mutations is essential for improving public health, guiding clinical decisions, and ensuring food safety. CRISPR-based biosensors offer a promising solution due to their programmability, sensitivity, and versatility. This dissertation focuses on the development of CRISPR-integrated biosensing platforms for assessing antimicrobial resistance, detecting bacterial pathogens, and identifying cancer-related genetic mutations. Five diagnostic systems were developed using different CRISPR/Cas technologies. First, a CRISPR/Cas9-engineered T4 bacteriophage was used for rapid antimicrobial susceptibility testing in Escherichia coli (E. coli). Second, a CRISPR/Cas12a-based electrochemical sensor was designed for the detection of Salmonella Typhimurium in food samples. Third, a CRISPR/Cas14a system combined with blocker displacement amplification enabled sensitive detection of the BRAF V600E mutation in colorectal cancer cells. Fourth, a one-pot CRISPR/Cas13 biosensor was designed for simultaneous detection of E. coli O157:H7 serotype markers, validated in a mouse infection model. Finally, the sensitivity of the CRISPR/Cas12a system was enhanced through site-specific covalent crosslinking between Cas12a and crRNA, which improved detection of SARS-CoV-2 in clinical samples. Together, these studies demonstrate the potential of CRISPR-based biosensors as powerful tools for diagnostics. The systems developed in this work are adaptable, sensitive, and suitable for applications in clinical diagnostics, food safety, and disease monitoring. | en |
dc.description.abstractgeneral | Early and accurate detection of disease is essential for protecting public health, guiding medical treatment, and ensuring food safety. This research focuses on developing easy-to-use, reliable diagnostic methods using CRISPR, a gene-targeting technology originally used for gene editing. By adapting CRISPR tools to recognize specific genetic material, these methods can identify bacteria, viruses, and even mutations linked to cancer with high precision. Five different CRISPR-based methods were developed in this work. One method uses engineered viruses that infect bacteria to check if infections are resistant to antibiotics. When the bacteria survive in the presence of antibiotics, a color change occurs, offering a quick visual result. Another method targets Salmonella in food by producing an electrical signal when the bacteria are present. A third method detects a gene mutation often found in colorectal cancer, helping identify the disease at an early stage. A fourth method can find a notorious strain of E. coli by detecting two genetic markers in a single reaction. The final method improves the sensitivity of CRISPR tools, allowing them to detect SARS-CoV-2 viruses in clinic samples. These diagnostic systems are designed to be fast, accurate, and suitable for use outside traditional laboratories. They can support early diagnosis, better monitoring of infectious diseases, and faster responses to outbreaks or public health threats. Overall, this research shows how CRISPR can be turned into a powerful tool for developing next-generation tests to detect pathogens and cancer-related changes in a simple and accessible way. | en |
dc.description.degree | Doctor of Philosophy | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:43475 | en |
dc.identifier.uri | https://hdl.handle.net/10919/135408 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | CRISPR | en |
dc.subject | biosensor | en |
dc.subject | pathogen detection | en |
dc.subject | cancer diagnosis | en |
dc.subject | phage | en |
dc.subject | gene editing | en |
dc.title | CRISPR-integrated Biosensors for Human Health: Novel strategies for pathogen detection and cancer screening | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Biological Systems Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Doctor of Philosophy | en |