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1.
Physiol Rep ; 10(4): e15195, 2022 02.
Artículo en Inglés | MEDLINE | ID: mdl-35179318

RESUMEN

Mobilization of glycogen, the short-term storage form of glucose, is the body's first defense against hypoglycemia and is critical for energy provision during high intensity exercise. Therefore, to advance metabolic research, it is critical to be able to accurately measure glycogen concentrations, including during a prolonged fast and other glycogen-modulating interventions. Unfortunately, prior enzymatic methods of glycogen detection have been plagued by poor detection in the lower range, high sample mass requirements, and complicated and/or expensive protocols which introduce substantial technical variability into the measured glycogen concentrations. To address these limitations, here we report a streamlined and versatile glycogen extraction protocol coupled with an optimized phenol-sulfuric acid quantification protocol. With this method, we demonstrate how glycogen can be extracted from only 20 mg of tissue with one centrifugation step and quantified with a highly precise (Intra-assay %CV ranges from 5-10%) and sensitive (proportionality constant for glycogen = 0.07279 A.U./µg) assay. The cost of all materials equates to ~10 cents per sample. Therefore, this method represents an attractive means of assessing ex vivo tissue glycogen content including at the extremes of glycogen concentrations.


Asunto(s)
Glucógeno/análisis , Animales , Fraccionamiento Celular/métodos , Fraccionamiento Químico/métodos , Glucógeno/metabolismo , Hígado/química , Hígado/metabolismo , Ratones , Músculo Esquelético/química , Músculo Esquelético/metabolismo , Fenol/química , Ácidos Sulfúricos/química
2.
Biomol NMR Assign ; 15(2): 479-490, 2021 10.
Artículo en Inglés | MEDLINE | ID: mdl-34449019

RESUMEN

RNAs play myriad functional and regulatory roles in the cell. Despite their significance, three-dimensional structure elucidation of RNA molecules lags significantly behind that of proteins. NMR-based studies are often rate-limited by the assignment of chemical shifts. Automation of the chemical shift assignment process can greatly facilitate structural studies, however, accurate chemical shift predictions rely on a robust and complete chemical shift database for training. We searched the Biological Magnetic Resonance Data Bank (BMRB) to identify sequences that had no (or limited) chemical shift information. Here, we report the chemical shift assignments for 12 RNA hairpins designed specifically to help populate the BMRB.


Asunto(s)
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