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Zahedi, K.

Publications and source records attributed to Zahedi, K..

2 recordsLinked to original sources

The Activation of the Transcription Factor NRF2 in Epithelial Cells Lining the Kidney Cysts in Tuberous Sclerosis Complex (TSC): The Interplay of Fumarate Hydratase 1, KEAP1, and NRF2 in Kidney Cystogenesis

Abstract Background. Tuberous Sclerosis Complex (TSC) is caused by inactivating mutations in either the TSC1 or TSC2 genes, leading to activation of the mammalian target of rapamycin complex 1 (mTORC1) and unhindered cell growth and proliferation. The epithelium of TSC renal cysts in both mice and humans is composed of proliferating A-intercalated (A-IC) cells. The exact molecular mechanism of kidney cystogenesis in TSC remains speculative. Hypothesis.Superfluous cell proliferation driven by mTORC1 activation increases metabolic demand, causing oxidative stress and excess reactive oxygen species. If unchecked, this overwhelms antioxidant defenses and causes cell death. In TSC kidney cystogenesis, Nuclear Factor Erythroid 2-Related Factor 2 (NFE2L2), also known as NRF2, serves as the "master regulator" of antioxidant and anti-inflammatory responses, enabling cells to survive and proliferate by clearing the toxic environment and supplying nutrients and fuel. Results. RNA-seq and proteomics, along with western blot analysis, showed robust downregulation of Fumarate Hydrase 1 (FH1) and upregulation of NRF2, STAT3, and HIF1 in kidneys from TSC mice with moderate or heavy cyst burden. Confocal microscopy and immunohistochemical staining on kidney sections, and/or western blot studies on nuclear and cytoplasmic fractions, showed nuclear localization of NRF2, STAT3, and HIF1. In cyst-lining cells in TSC mouse models, FH1 downregulation was associated with inactivating succination of KEAP1 in immunoprecipitation experiments, promoting NRF2 nuclear localization in A-IC cells lining the cysts. NRF2 nuclear localization was associated with ectopic induction of the glutamine transporter SLC38A3 (SNAT3) on the basolateral membrane and activation of the NH3/NH4+ transporters RHCG and RHBG in A-IC cells lining the cysts. Twenty-four h urine NH3/NH4+ excretion rates increased significantly in Tsc1 KO vs. WT mice. The activation of NRF2, STAT3, and HIF1 can drive metabolic reprogramming and activate survival genes in proliferating cells. Together with SLC38A3 induction and upregulation of other glutamine and NH3/NH4+ transporters, these factors activate glutaminolysis and aerobic glycolysis, supplying nutrients to proliferating cystic epithelial cells and supporting cyst expansion in TSC. Consistent with this central role for glutaminolysis in kidney cystic epithelium and TSC cystogenesis, we find a significant reduction in kidney cyst burden in Tsc1 KO mice on a glutamine-free diet. Conclusions. NRF2 plays a critical role in antioxidant defense. Along with STAT3 and HIF1, NRF2 is a key player in metabolic reprogramming through glutaminolysis, which supplies nutrients to proliferating cystic epithelial cells and supports cyst expansion in TSC. These findings suggest that inhibiting or inactivating NRF2, alone or in combination with HIF1 or STAT3, may represent a potential treatment strategy for kidney lesions in TSC.

molecular biology↗

To make a short story long: simultaneous short and long RNA profiling on Nanopore devices

Sequencing of long coding RNAs informs about the abundance and the novelty in the transcriptome, while sequencing of short coding RNAs (e.g., microRNAs) or long non-coding RNAs informs about the epigenetic regulation of the transcriptome. Currently, each of these goals is addressed by separate sequencing experiments given the different physical characteristics of RNA species from biological samples. Sequencing of both short and long RNAs from the same experimental run has not been reported for long-read Nanopore sequencing to date and only recently has been achieved for short-read (Illumina) methods. We propose a library preparation method capable of simultaneously profiling short and long RNA reads in the same library on the Nanopore platform and provide the relevant bioinformatics workflows to support the goals of RNA quantification. Using a variety of synthetic samples we demonstrate that the proposed method can simultaneously detect short and long RNAs in a manner that is linear over 5 orders of magnitude for RNA abundance and three orders of magnitude for RNA length. In biological samples the proposed method is capable of profiling a wider variety of short and long non-coding RNAs when compared against the existing Smart-seq protocols for Illumina and Nanopore sequencing.

molecular biology↗