A shout-out to Dr. Grover Miller, Professor of Biochemistry and Molecular Biology, on being named as an Associate Editor for the Drug Metabolism and Transport section of Frontiers in Pharmacology. The specialty section covers regulation of drug metabolizing enzymes and transporters, genetic variability and polymorphisms, design of innovative tools for determining drug metabolism and transport, in vitro to in vivo extrapolations, and effective drug design.
Congratulations to Isabelle Racine Miousse, Ph.D. who won the Overall Impact Award for her poster presentation of “Dietary Methionine Restriction Improves the Response to Immune Checkpoint Inhibitors” at the UAMS Translational Research Institute (TRI) Research Day on April 5th.
The Changing Landscape of Systemic Treatment for Cervical Cancer: Rationale for Inhibition of the TGF-β and PD-L1 Pathways.
Birrer MJ, Fujiwara K, Oaknin A, Randall L, Ojalvo LS, Valencia C, Ray-Coquard I.
Front Oncol. 2022
Role and Regulation of Pif1 Family Helicases at the Replication Fork.
Malone EG, Thompson MD, Byrd AK.
Int. J. Mol. Sci. 2022
ZMYM2 restricts 53BP1 at DNA double-strand breaks to favor BRCA1 loading and homologous recombination.
Lee D, Apelt K, Lee SO, Chan HR, Luijsterburg MS, Leung JWC, Miller KM.
Nucleic Acids Res. 2022
Identification of natural compounds tubercidin and lycorine HCl against small-cell lung cancer and BCAT1 as a therapeutic target.
Chen J, Barrett L, Lin Z, Kendrick S, Mu S, Dai L, Qin Z.
J Cell Mol Med. 2022
Researchers at Stanford University generated a list of the World’s Top Two Percent of Scientists using Scopus data and a combination of citation metrics to rate a researcher’s influence in their subfield (in parentheses below) over the course of their career, through 2019. (Citation metrics included h-index, coauthorship-adjusted hm-index, citations to papers with different authorship positions, and a composite indicator.) Updated databases and code are freely available in Mendeley; the latest version, Version 3, was published on October 19, 2021. Congratulations to the Biochemistry Faculty included on the list, Michael J. Birrer, M.D., Ph.D., and Donald M. Mock, M.D., Ph.D.
The publicly available database ranks the top 100,000 researchers (out of nearly seven million who had published at least five papers) across 22 scientific fields and 176 subfields according to the composite citation index when self-citations were or were not included. The database also includes researchers not in the top 100,000 according to the composite index but who were still within the top two percent of scientists in their subfield and had published at least five papers.
Congratulations to Shreyam Tripathi for winning the poster category at the 2022 Arkansas Regional Junior Science and Humanities Symposium (JSHS). Mr. Tripathi is a junior at the Arkansas School for Mathematics, Sciences, and the Arts (ASMSA) who has been working in the laboratory of Dr. Robert Eoff at UAMS. At the JSHS, Mr. Tripathi presented a poster entitled “Investigating the role of Rev1 in maintaining accurate DNA replication past G4 containing regions in the leading and lagging strands” detailing experiments he performed in the Eoff lab with guidance from Dr. Amit Ketkar.
The Arkansas Regional JSHS was held at Arkansas Tech University on March 11-12 and is a Tri-Service STEM competition sponsored by the U.S. Army, Navy, and Air Force. The study was supported by a grant from the National Science Foundation (MCB 1903357 to R.L.E.) and is part of an ongoing collaboration between Dr. Eoff and ASMSA students and faculty.
Congratulations Shreyam!
Best Practices for Students, Postdocs, and their Faculty Members When Writing an NIH Individual Fellowship Grant Application
Wednesday, April 6 from 2:00 p.m. to 4:00 p.m. Central Time.
In this webinar from the National Research Mentoring Network, Dr. Jamie Robinson from Columbia University will share best practices and tips for writing a NIH Individual Fellowship Grant Application followed by a Q and A session.
Haven Griffin and Haley Lowe are the new student representatives on the Graduate Education Committee. Students should let them know about any concerns or issues they want to bring to the attention of faculty.
The UAMS Graduate school held their annual Three Minute Thesis competition on February 22. Three Minute Thesis or 3MT® is a competition developed by the University of Queensland to celebrate research and develop research communication skills. Students have three minutes to explain their research to a non-specialist audience with one static slide. Finalists for the Graduate School included BCMB students Jessica Kelliher and Matthew Thompson. Jessica’s mentor is Justin Leung, and Matthew’s mentor is Alicia Byrd. Lance Benson, also a GPIBS student won the People’s Choice Award. Congratulations to all!
Targeting TGF-β: triumphs and challenges.
Acharya B, Miah S, Frett B.
Future Med Chem. 2022
CCAAT enhancer binding protein gamma (C/EBP-γ): An understudied transcription factor.
Renfro Z, White BE, Stephens KE.
Adv Biol Regul. 2022
by Matt McGowan
Researchers at the U of A have demonstrated the first use of a noninvasive optical technique to determine complex biochemical changes in cancers treated with immunotherapy.
“We show that optical spectroscopy provides sensitive detection of early changes in the biomolecular composition of tumors,” said Narasimhan Rajaram, associate professor of biomedical engineering. “This is important because these changes predict response to immunotherapy with immune checkpoint inhibitors. Thus, our work is the first step in determining whether Raman spectroscopy can identify treatment responders and non-responders early during the course of therapy.”
Immune checkpoints act as brakes on the immune system to ensure that the body’s immune response is proportional to the threat level detected. Immune checkpoint inhibitors effectively remove these brakes and unleash the body’s immune system against cancer cells.
The study, published in Cancer Research, a journal of the American Association for Cancer Research, describes the use of Raman spectroscopy to determine the molecular composition of colon cancer tumors in mice treated with two types of immunotherapy drugs currently used in the clinical treatment of patients.
Raman spectroscopy uses optical fibers to direct near-infrared laser light to biological tissue. The Raman signal scattered from the tissue is especially sensitive to the molecular composition of the tissue.
For this study, the researchers used machine-learning approaches to train hundreds of Raman datasets acquired from colon cancer tumors treated with different immunotherapy drugs. They then tested the data from each tumor against the overall dataset to determine the difference between tumors that had received various types of immunotherapy and tumors that did not receive any therapy.
The Raman technique demonstrated sensitive detection of early changes in the biomolecular composition of tumors and differentiated tumor response to different treatments. Changes picked up by the non-invasive Raman probe were consistent with changes described by detailed tissue analysis, the researchers found.
Unlike other forms of cancer treatment, immunotherapy does not result in an immediate and predictable reduction in tumor size, and there are currently no accurate methods to determine treatment response in patients. Only a small group of patients benefit from immunotherapy, and there are severe side effects associated with specific combinations of immunotherapy.
Rajaram partnered with Ishan Barman, associate professor of mechanical engineering at Johns Hopkins University, and Alan J. Tackett, deputy director of the Winthrop P. Rockefeller Cancer Institute and professor of biochemistry at the University of Arkansas for Medical Sciences. Joel Rodriguez Troncoso, graduate student in biomedical engineering at the U of A, and Santosh Kumar Paidi at Johns Hopkins University were lead authors on the paper.
In addition to Rodriguez Troncoso and Kumar Paidi, co-authors of the paper were Paola Monterroso Diaz, Jesse D. Ivers and David E. Lee at the U of A; Piyush Raj from Johns Hopkins University; and Nathan L. Avaritt, Allen J. Gies, Charles M. Quick and Stephanie D. Byrum from the University of Arkansas for Medical Sciences.
This research was supported by the Society of Laboratory Automation and Screening Graduate Education Fellowship Grant, the Arkansas IDeA Networks of Biomedical Research Excellence, the Winthrop P. Rockefeller Cancer Institute and grants from the National Cancer Institute, the National Institute of Biomedical Imaging and Bioengineering and the National Institute of General Medical Sciences.
