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IMAGE: Researchers from The University of Texas MD Anderson Cancer Center have developed the first comprehensive framework to classify small-cell lung cancer (SCLC) into four unique subtypes, based on gene expression,. view more
Credit: MD Anderson Cancer Center
HOUSTON Researchers from The University of Texas MD Anderson Cancer Center have developed the first comprehensive framework to classify small-cell lung cancer (SCLC) into four unique subtypes, based on gene expression, and have identified potential therapeutic targets for each type in a study published today in
Cancer Cell.
SCLC is known for rapid, aggressive growth and resistance to treatment, which leads to poor outcomes. While recent advances in immunotherapy and targeted therapy have improved survival for non-small cell lung cancer (NSCLC), progress for SCLC has been limited.
âThis will help usâ: New imaging equipment enhances cancer research at TTUSHC
Pharmacy researcher receives CPRIT Grant for cancer research equipment
KFDA News at Six - VOD - clipped version By Freixys Casado | January 19, 2021 at 6:39 PM CST - Updated January 19 at 7:56 PM
AMARILLO, Texas (KFDA) - Today was the first day of training for some faculty members at Texas Tech University Health Sciences Center (TTUHSC) Jerry H. Hodge School of Pharmacy after receiving a revolutionary imaging equipment.
The Leica super resolution microscope, which can basically look at living cells at a very high resolution.
âThis will help us to explore what new treatment, new drugs can do to cells,â said Ulrich, Bickel, M.D, associate Dean of sciences and professor, TTUHSC- Jerry H. Hodge School of Pharmacy. âThis will advance our research capability enormously, because this wasnât possible until very recently.â
Credit: MD Anderson Cancer Center
HOUSTON In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from The University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples. The work was published today in
Nature Biotechnology.
The new tool, dubbed CopyKAT (copy number karyotyping of aneuploid tumors), allows researchers to more easily examine the complex data obtained from large single-cell RNA-sequencing experiments, which deliver gene expression data from many thousands of individual cells.
CopyKAT uses that gene expression data to look for aneuploidy, or the presence of abnormal chromosome numbers, which is common in most cancers, said study senior author Nicholas Navin, Ph.D., associate professor of Genetics and Bioinformatics & Computational Biology. The tool also helps to i
October 27, 2020 // Posted In Academics, Research
If you’re a sports fan, the best comparisons for Dr. John Wood coming to Baylor in 2013 might be a top free agent or recruit signing with your team. If fishing is your thing, he’s the “big fish” that didn’t get away.
In the academic world, no metaphor is needed he’s a nationally recognized leader in cancer research, a top scholar and mentor who chose to bring his research operation to Baylor in 2013 and has been leading students in groundbreaking natural product synthesis research from the Baylor Sciences Building ever since.
Wood, the Robert A. Welch Distinguished Professor of Chemistry, applies his discipline in the fight against cancer through a process known as natural product synthesis. Most major brand-name drugs are the result of natural products, such as plants, that have a quality or mechanism that fights disease. Wood and his students re-create these molecules and put them together in different ways to fight