Expression of the SNAT2 amino acid transporter during the development of rat cerebral cortex

Rodríguez, Angelina; Berumen, Laura C.; Zafra, Francisco; Giménez, Cecilio; Guadalupe, García-Alcocer María

doi:10.1016/j.ijdevneu.2011.05.010

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…SNAT2 is expressed ubiquitously in mammalian tissues and displays Na + -, voltage- and pH-dependent activity [ 35 ]. SNAT2 mRNA can be detected in the duodenum, jejunum and ileum of piglets by real-time quantitative PCR, which most likely reflects the reported system A activity [ 36 ].…”

Section: Resultsmentioning

confidence: 99%

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Characterization and Regulation of the Amino Acid Transporter SNAT2 in the Small Intestine of Piglets

Tan

et al. 2015

PLoS ONE

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The sodium-dependent neutral amino acid transporter 2 (SNAT2), which has dual transport/receptor functions, is well documented in eukaryotes and some mammalian systems, but has not yet been verified in piglets. The objective of this study was to investigate the characteristics and regulation of SNAT2 in the small intestine of piglets. The 1,521-bp porcine full cDNA sequence of SNAT2 (KC769999) from the small intestine of piglets was cloned. The open reading frame of cDNA encodes 506 deduced amino acid residues with a calculated molecular mass of 56.08 kDa and an isoelectric point (pI) of 7.16. Sequence alignment and phylogenetic analysis revealed that SNAT2 is highly evolutionarily conserved in mammals. SNAT2 mRNA can be detected in the duodenum, jejunum and ileum by real-time quantitative PCR. During the suckling period from days 1 to 21, the duodenum had the highest abundance of SNAT2 mRNA among the three segments of the small intestine. There was a significant decrease in the expression of SNAT2 mRNA in the duodenal and jejunal mucosa and in the expression of SNAT2 protein in the jejunal and ileal mucosa on day 1 after weaning (P < 0.05). Studies with enterocytes in vitro showed that amino acid starvation and supplementation with glutamate, arginine or leucine enhanced, while supplementation with glutamine reduced, SNAT2 mRNA expression (P < 0.05). These results regarding the characteristics and regulation of SNAT2 should help to provide some information to further clarify its roles in the absorption of amino acids and signal transduction in the porcine small intestine.

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Section: Resultsmentioning

confidence: 99%

“…In addition, the adaptive regulation of SNAT2 is not limited to the effects of system A substrates. Phenylalanine, tyrosine, and tryptophan also suppress system A [ 35 ], while glutamate, arginine and leucine enhance SNAT2 mRNA expression ( Fig 7 ), which may be due to the function of SNAT2 as a nutrient receptor [ 8 ].…”

Section: Resultsmentioning

confidence: 99%

Characterization and Regulation of the Amino Acid Transporter SNAT2 in the Small Intestine of Piglets

Tan

et al. 2015

PLoS ONE

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“…Furthermore, both SNAT2 and SLC22A7 are transmembrane carriers. SNAT2 is dependent on the extracellular sodium ion concentration, and its best transport substrate is alanine, the most widely distributed transport protein in the family; SLC22A7 is a known cotransporter of sodium and phosphate, and can transport organic anions [ 66 , 67 , 68 ]. Moreover, KIF3B is a class of protein macromolecules with cellular motor function and involved in power supply (energy generated by ATP hydrolysis) for intracellular material transport, replication of DNA genetic material, transcription and translation of genetic material, and cell division [ 69 , 70 ].…”

Section: Discussionmentioning

confidence: 99%

Genetics Responses to Hypoxia and Reoxygenation Stress in Larimichthys crocea Revealed via Transcriptome Analysis and Weighted Gene Co-Expression Network

Zhang

Ding

Liu

et al. 2021

Animals

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The large yellow croaker (Larimichthys crocea) is an important marine economic fish in China; however, its intolerance to hypoxia causes widespread mortality. To understand the molecular mechanisms underlying hypoxia tolerance in L. crocea, the transcriptome gene expression profiling of three different tissues (blood, gills, and liver) of L. crocea exposed to hypoxia and reoxygenation stress were performed. In parallel, the gene relationships were investigated based on weighted gene co-expression network analysis (WGCNA). Accordingly, the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis showed that several pathways (e.g., energy metabolism, signal transduction, oxygen transport, and osmotic regulation) may be involved in the response of L. crocea to hypoxia and reoxygenation stress. In addition, also, four key modules (darkorange, magenta, saddlebrown, and darkolivegreen) that were highly relevant to the samples were identified by WGCNA. Furthermore, some hub genes within the association module, including RPS16, EDRF1, KCNK5, SNAT2, PFKL, GSK-3β, and PIK3CD, were found. This is the first study to report the co-expression patterns of a gene network after hypoxia stress in marine fish. The results provide new clues for further research on the molecular mechanisms underlying hypoxia tolerance in L. crocea.

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“…Additionally, it is interesting to note that four of this group (PCDG4, SC6A6, S38A4, and S38A2; Table 1 ; Supplementary Table S10 ) are involved in neurotransmission activities and had their abundances reduced by LG. S38A2 and S38A4 are two sodium-coupled neutral amino acid transporters and S38A2 regulates the amino acid pool as well as the recycling of the neurotransmitter (Hatanaka et al, 2000 , 2001 ; Angelina et al, 2011 ) while SC6A6 is sodium-dependent taurine and beta-alanine transporter as well as a neurotransmitter transporter (Tomi et al, 2008 ). It has been demonstrated that hypoxia diminishes the expression and function of system A (alanine-preferring) amino acid transporters (Nelson et al, 2003 ).…”

Section: Resultsmentioning

confidence: 99%

Quantitative Proteomics Reveals the Beneficial Effects of Low Glucose on Neuronal Cell Survival in an in vitro Ischemic Penumbral Model

Kittur

Hung

et al. 2020

Front. Cell. Neurosci.

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Understanding proteomic changes in the ischemic penumbra are crucial to rescue those salvageable cells and reduce the damage of an ischemic stroke. Since the penumbra region is dynamic with heterogeneous cells/tissues, tissue sampling from animal models of stroke for the molecular study is a challenge. In this study, cultured hippocampal HT22 cells under hypoxia treatment for 17.5 h with 0.69 mM low glucose (H+LG) could mimic ischemic penumbral cells since they had much higher cell viability and viable cell number compared to hypoxia without glucose (H−G) treatment. To validate established cell-based ischemic penumbral model and understand the beneficial effects of low glucose (LG), quantitative proteomics analysis was performed on H+LG, H−G, and normoxia with normal 22 mM glucose (N+G) treated cells. We identified 427 differentially abundant proteins (DAPs) between H−G and N+G and further identified 105 DAPs between H+LG and H−G. Analysis of 105 DAPs revealed that LG promotes cell survival by activating HIF1α to enhance glycolysis; preventing the dysregulations of extracellular matrix remodeling, cell cycle and division, and antioxidant and detoxification; as well as attenuating inflammatory reaction response, protein synthesis and neurotransmission activity. Our results demonstrated that this established cell-based system could mimic penumbral conditions and can be used for molecular studies.

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Expression of the SNAT2 amino acid transporter during the development of rat cerebral cortex

Cited by 6 publications

References 31 publications

Characterization and Regulation of the Amino Acid Transporter SNAT2 in the Small Intestine of Piglets

Characterization and Regulation of the Amino Acid Transporter SNAT2 in the Small Intestine of Piglets

Genetics Responses to Hypoxia and Reoxygenation Stress in Larimichthys crocea Revealed via Transcriptome Analysis and Weighted Gene Co-Expression Network

Quantitative Proteomics Reveals the Beneficial Effects of Low Glucose on Neuronal Cell Survival in an in vitro Ischemic Penumbral Model

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