Publications by authors named "De Santiago Carolina"
Article Synopsis
- Physiological processes depend on the regulation of cell growth, and when these processes malfunction, it can lead to diseases like cancer.
- This review looks at methods for quantitatively measuring how cells grow in lab settings and compares the different types of data collected.
- It also discusses mathematical modeling techniques used to analyze cell behavior and how combining lab studies with these models can help predict cell behavior in cancer research.
Applications of high-resolution clone tracking technologies in cancer.
Curr Opin Biomed Eng
September 2021
Article Synopsis
- * Traditional methods studying tumor evolution often focus on genetic markers but overlook the significant role of non-genetic factors in driving disease.
- * The review highlights advanced techniques for tracking tumor clones using heritable barcode tags, integrating tools like scRNA-seq and imaging to better understand cancer cell diversity and treatment resistance.
A collection of 37 fungi associated to Italian lemon plants with disease symptoms, was obtained. Ten genera including and were identified by using ITS1-5.8S-ITS2, D1/D2 26S and 1 loci.
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- Regular monitoring of HIV-1 viral loads is vital for assessing the effectiveness of antiretroviral therapy, but in areas without access to drug resistance testing, decisions are often based on symptoms rather than data, which can lead to unnecessary treatment changes and higher healthcare costs.
- A new proof-of-concept assay has been developed to detect the M184V drug resistance mutation in HIV-1 using a simple paper format, combining techniques like recombinase polymerase amplification and oligonucleotide ligation assay.
- This method shows 100% accuracy in distinguishing between mutant and wild type DNA, potentially allowing for low-cost detection of HIV-1 drug resistance in rural hospital settings.