Spatially Variable Genes in Cancer: Development, Progression, and Treatment Response

— —

Ramya Raghavan

Spatially Variable Genes in Cancer

Development, Progression, and Treatment Response

Ramya Raghavan

$1325.95 $1060.75

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

IGI Global
17 December 2024

Medical genetics; Oncology; Genetics (non-medical)

Spatial variable genes (SVGs) in cancer refer to genes that exhibit different expression levels or patterns across different regions or cells within a tumor. Cancer-associated fibroblasts (CAFs) are a crucial component of the tumor microenvironment (TME), playing a fundamental role in tumor progression, metastasis, and therapy response. Identifying and characterizing SVGs can reveal novel targets for cancer treatment. Combining spatial transcriptomics with other omics data can provide a more comprehensive picture of tumor biology. Spatially Variable Genes in Cancer: Development, Progression, and Treatment Response illuminates the heterogeneity within tumors, challenging the traditional one-size-fits-all approach. The chapters examine how SVGs influence tumor biology and pave the way for novel diagnostic and therapeutic approaches. Covering topics such as bioengineering, gene expression, and tumor initiation, this book is an excellent resource for academicians, researchers, students, oncologists, medical professionals, medical administrators, scientists, and more.

Edited by: Ramya Raghavan
Imprint: IGI Global
Dimensions: Height: 279mm, Width: 216mm, Spine: 33mm
Weight: 1.678kg
ISBN: 9798369377284
Pages: 606
Publication Date: 17 December 2024
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Ramya Raghavan is a researcher with a Ph.D. from school of medicine, where the research team delved into the fascinating world of molecular physiology and oncogenesis. Her academic focus on mammalian development, is evidenced by her published works on tumor suppressor, prostate function and animal models. Following doctoral studies, Dr Raghavan employed a transcriptomics to study the expression of neural markers in the developing brain. This research provided valuable insights into how the brain builds its complex circuitry. Her interest then shifted towards the practical application of scientific knowledge in a clinical setting. Here, she focused on developing and optimizing novel diagnostic and research methods ultimately contributing to novel diagnoses and better patient care. Her scientific career aligns perfectly with the upcoming book on cancer and spatial genomics subject matter. Beyond foundational knowledge, she extends her expertise to advanced topics, leading graduate-level physiology and molecular biology courses. Recognizing the importance of practical experience, she dedicated significant time to training pre-medicine and graduate students. This dedication to graduate education reflects her dedication to nurturing the next generation of doctors and scientists. With passion for cancer research, combined with a commitment to neuroscience, makes Dr Ramya Raghavan a valuable asset to navigate spatially variable genes in the complex tumor micro environment. Integrating spatial data on cancer associated fibroblasts (CAF) gene expression into a collection of books is an exciting prospect to bridge the gap between basic science and medical applications.