Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Sandeep Kumar Mishra
Associate Research Scientist
Research Interests
Make your next move.
Prepare your application
Review drafts before you send them.
Explore related searches
Articles (13)
Year:
2026
Year:
2026
Year:
2025
Year:
2025
Year:
2025
Year:
2025
A unique feature of the tumor microenvironment is extracellular acidosis in relation to intracellular milieu. Metabolic reprogramming in tumors results in overproduction of H + ions (and lactate), which are extruded from the cells to support tumor survival and progression. As a result, the transmembrane pH gradient (ΔpH), representing the difference between intracellular pH (pH i ) and extracellular pH (pH e ), is posited to be larger in tumors compared with normal tissue. Controlling the transmembrane pH difference has promise as a potential therapeutic target in cancer as it plays an important role in regulating drug delivery into cells. The current study shows successful development of an MRI/MRSI‐based technique that provides ΔpH imaging at submillimeter resolution. We applied this technique to image ΔpH in rat brains with RG2 and U87 gliomas, as well as in mouse brains with GL261 gliomas. pH i was measured with Amine and Amide Concentration‐Independent Detection (AACID), while pH e was measured with Biosensor Imaging of Redundant Deviation in Shifts (BIRDS). The results indicate that pH i was slightly higher in tumors (7.40–7.43 in rats, 7.39–7.47 in mice) compared with normal brain (7.30–7.38 in rats, 7.32–7.36 in mice), while pH e was significantly lower in tumors (6.62–6.76 in rats, 6.74–6.84 in mice) compared with normal tissue (7.17–7.22 in rats, 7.20–7.21 in mice). As a result, ΔpH was higher in tumors (0.64–0.81 in rats, 0.62–0.65 in mice) compared with normal brain (0.13–0.16 in rats, 0.13–0.16 in mice). This work establishes an MRI/MRSI‐based platform for ΔpH imaging at submillimeter resolution in gliomas.
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Collaborators (7)
Peter Herman
Yale University
Basavaraju Sanganahalli Ganganna
Assistant professor
Yale University
Daniel Coman
-
Takahiko Imai
Assistant Professor
Gunma University
D. S. Fahmeed Hyder
Professor
Yale University
James S. Duncan
Yale University
Shaun James
Assistant Professor
Sacred Heart University
Make your next move.
Prepare your application
Review drafts before you send them.