GOT1L1

Last update 23 Jan 2025

Basic Info

Synonyms

Glutamate oxaloacetate transaminase 1-like protein 1, glutamic-oxaloacetic transaminase 1 like 1, GOT1L1

+ [3]

Introduction-

100 Clinical Results associated with GOT1L1

100 Translational Medicine associated with GOT1L1

0 Patents (Medical) associated with GOT1L1

Literatures (Medical) associated with GOT1L1

01 Jan 2025·Journal of Biochemical and Molecular Toxicology

A Novel circ_0075829/miR‐326/GOT1 ceRNA Crosstalk Regulates the Malignant Phenotypes and Drug Sensitivity of Gemcitabine‐Resistant Pancreatic Cancer Cells

Article

Author: Liang, Fan ; Wang, Hongmei ; Xiang, Yongjia ; Wang, Xia ; Bai, Hao ; Yang, Yi ; Zhou, Rubing

ABSTRACTAlthough gemcitabine (GEM) is the cornerstone of the treatment of pancreatic cancer (PC), GEM resistance frequently arises. Circular RNA (circRNA) circ_0075829 is highly expressed in PC. However, whether circ_0075829 contributes to GEM resistance of PC is largely unknown. To generate GEM‐resistant PC cells (BxPC‐3/GR and SW1990/GR), we exposed GEM‐sensitive PC cells to GEM. Circ_0075829, microRNA (miR)‐326, and glutamic‐oxaloacetic transaminase 1 (GOT1) were quantified by a qRT‐PCR or western blot method. Cell survival and viability were gauged by MTS assay. Cell proliferation, apoptosis, invasion, and migration were assessed by EdU, flow cytometry, transwell, and wound‐healing assays, respectively. Dual‐luciferase reporter assays were used to verify the relationship between miR‐326 and circ_0075829 or GOT1. Mouse xenografts were performed to evaluate the role of circ_0075829 in vivo. Our data showed that circ_0075829 was upregulated in GEM‐resistant PC tissues and cells. Knockdown of circ_0075829 impeded the proliferation, invasion, migration, and glutamine metabolism, and promoted cell apoptosis and GEM sensitivity of GEM‐resistant PC cells. Moreover, circ_0075829 silencing suppressed the tumorigenicity of SW1990/GR cells and sensitized them to the cytotoxic effect of GME in vivo. Mechanistically, circ_0075829 bound miR‐326 and exerted regulatory effects by affecting miR‐326 expression. GOT1 was a direct miR‐326 target and a key downstream effector of miR‐326. Furthermore, circ_0075829 modulated GOT1 expression via miR‐326. Our findings establish a novel regulatory network, the circ_0075829/miR‐326/GOT1 competing endogenous RNA (ceRNA) crosstalk, in the regulation of GEM resistance in PC.

30 Jun 2024·Rapid Communications in Mass Spectrometry

Simultaneous quantification of six proteins related to liver injury using nano liquid chromatography–tandem mass spectrometry

Article

Author: Yan, Binjun ; Shi, Mengtian ; Su, Yuan ; Cai, Siyu ; Wang, Dandan ; Chen, David Da Yong

RationaleIn clinical diagnosis of liver injury, which is an important health concern, serum aminotransferase assays have been the go‐to method used worldwide. However, the measurement of serum enzyme activity has limitations, including inadequate disease specificity and enzyme specificity.MethodsWith the high selectivity and specificity provided by nano liquid chromatography–tandem mass spectrometry (LC/MS/MS), this work describes a method for the simultaneous determination of six proteins in liver that can be potentially used as biomarkers for liver injury: glutamic‐pyruvic transaminase 1 (GPT1), glutamic oxaloacetic transaminase 1 (GOT1), methionine adenosyl transferase 1A (MAT1A), glutathione peroxidase 1 (GPX1), cytokeratin 18 (KRT18) and apolipoprotein E (APOE).ResultsIn validation, the method was shown to have good selectivity and sensitivity (limits of detection at pg/mL level). The analytical method revealed that, compared with normal mice, in carbon tetrachloride‐induced acute liver injury mice, liver MAT1A and GPX1 were significantly lower (p < 0.01 and p < 0.05, respectively), KRT18 was significantly higher (p < 0.05) and APOE and GPT1 were marginally significantly lower (p between 0.05 and 0.1). This is the first work reporting the absolute contents of GPT1, GOT1, MAT1A, GPX1 and KRT18 proteins based on LC/MS.ConclusionsThe proposed method provides a basis for establishing more specific diagnostic indicators of liver injury.

01 Dec 2022·BMC Genomics

Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia

Article

Author: Cheng, Zhong-Yi ; Xi, Meng-Ping ; Zhou, Yue-Bo ; Zhang, Jiao-Jiao ; Peng, Li-Jun ; Geng, Mei ; Rousseaux, Sophie ; Wang, Jin ; Chuffart, Florent ; Liu, Yuan-Fang ; Khochbin, Saadi ; Wang, Tao ; Mi, Jian-Qing ; Chen, Bing ; Gao, Meng-Qing ; Zhang, Wei-Na ; Bourova-Flin, Ekaterina

AbstractBackgroundT cell acute lymphoblastic leukemia (T-ALL) defines a group of hematological malignancies with heterogeneous aggressiveness and highly variable outcome, making therapeutic decisions a challenging task. We tried to discover new predictive model for T-ALL before treatment by using a specific pipeline designed to discover aberrantly active gene.ResultsThe expression of 18 genes was significantly associated with shorter survival, including ACTRT2, GOT1L1, SPATA45, TOPAZ1 and ZPBP (5-GEC), which were used as a basis to design a prognostic classifier for T-ALL patients. The molecular characterization of the 5-GEC positive T-ALL unveiled specific characteristics inherent to the most aggressive T leukemic cells, including a drastic shut-down of genes located on the mitochondrial genome and an upregulation of histone genes, the latter characterizing high risk forms in adult patients. These cases fail to respond to the induction treatment, since 5-GEC either predicted positive minimal residual disease (MRD) or a short-term relapse in MRD negative patients.ConclusionOverall, our investigations led to the discovery of a homogenous group of leukemic cells with profound alterations of their biology. It also resulted in an accurate predictive tool that could significantly improve the management of T-ALL patients.

Analysis

Perform a panoramic analysis of this field.

view full example data

Chat with Hiro

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis

GOT1L1

Basic Info

Related

Analysis