EXT2 antibody
- Known as:
- EXT2 (anti-)
- Catalog number:
- orb20499
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Biorbyt biorb
- Gene target:
- EXT2 antibody
Related genes to: EXT2 antibody
- Gene:
- EXT2 NIH gene
- Name:
- exostosin glycosyltransferase 2
- Previous symbol:
- -
- Synonyms:
- SOTV
- Chromosome:
- 11p11.2
- Locus Type:
- gene with protein product
- Date approved:
- 1994-06-01
- Date modifiied:
- 2019-04-23
- Gene:
- EXT3 NIH gene
- Name:
- exostoses (multiple) 3
- Previous symbol:
- -
- Synonyms:
- EXT2
- Chromosome:
- 19p
- Locus Type:
- phenotype only
- Date approved:
- 1994-09-07
- Date modifiied:
- 2007-11-16
Related products to: EXT2 antibody
Related articles to: EXT2 antibody
- Hereditary Multiple Exostoses (HME) is a rare autosomal dominant skeletal disorder resulting from loss-of-function variants in the , , or genes. While malignant transformation into chondrosarcoma is well documented, the incidence and characterization of non-skeletal malignancies in HME remain poorly defined. - Source: PubMed
Publication date: 2025/12/03
Comisi Francesco FabrizioComisi Andrea MariaEsposito ElenaSavasta Salvatore - Jatropha variegata and Jatropha spinosa (family: Euphorbiaceae) are utilized in Yemeni traditional medicine to treat respiratory tract infection and in different skin conditions such as wound healing, as antibacterial and hemostatic. In this study, we evaluated the cytotoxicity and the antiviral activities of the methanolic J. variegata (leaves: Ext-1, stems: Ext-2, and roots: Ext-3), and J. spinosa extracts (aerial parts: Ext-4 and roots: Ext-5), in addition to their methylene chloride fractions of roots extracts (F-6 and F-7, respectively). All samples were tested against three human cancer cell lines in vitro (MCF-7, HepG2, and A549) and two viruses (HSV-2 and H1N1). Both plants showed significant cytotoxicity, among them, the methylene chloride fractions of roots of J. variegata (F-6) and J. spinosa roots (F-7) showed the highest activity on MCF-7 (IC = 1.4 and 1 μg/mL), HepG2 (IC = 0.64 and 0.24 μg/mL), and A549 (IC = 0.7 and 0.5 μg/mL), respectively, whereas the IC values of the standard doxorubicin were (3.83, 4.73, and 4.57 μg/mL) against MCF-7, HepG2, and A549, respectively. These results revealed that the roots of both plants are potential targets for cytotoxic activities. The in vitro results revealed potential antiviral activity for each of Ext-3, Ext-5, F-6, and F-7 against HVS-2 with IC of 101.23, 68.83, 4.88, 3.24 μg/mL and against H1N1 with IC of 51.29, 27.92, 4.24, and 3.06 μg/mL respectively, whereas the IC value of the standard acyclovir against HVS-2 was 83.19 μg/mL and IC value of the standard ribavirin against H1N1 was 52.40 μg/mL .The methanol extracts of the roots (Ext-3 and Ext-5) of both plants were characterized using UPLC/MS. A total of 73 metabolites were annotated, including fourteen diterpenoids, eleven flavonoids, ten phenolic acid conjugates, twelve fatty acids and their conjugates, five triterpenes and steroids, two sesquiterpenes, and six coumarins. The cytotoxicity and antiviral activities determined in the present work are explained by the existence of flavonoids, coumarins and diterpenes with commonly known cytotoxicity and antiviral activities. - Source: PubMed
Publication date: 2024/02/28
Shari KhawlahMohamed Osama GMeselhy Khaled MTripathi AshootoshKhaleel Amal EAbdel-Sattar EssamGedaily Rania A El - Coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and has infected millions worldwide. SARS-CoV-2 spike protein uses Angiotensin-converting enzyme 2 (ACE2) and Transmembrane serine protease 2 (TMPRSS2) for entering and fusing the host cell membrane. However, interaction with spike protein receptors and protease processing are not the only factors determining coronaviruses' entry. Several proteases mediate the entry of SARS-CoV-2 virus into the host cell. Identifying receptor factors helps understand tropism, transmission, and pathogenesis of COVID-19 infection in humans. The paper aims to identify novel viral receptor or membrane proteins that are transcriptionally and biologically similar to ACE2 and TMPRSS2 through a fuzzy clustering technique that employs the Grey wolf optimizer (GWO) algorithm for finding the optimal cluster center. The exploratory and exploitation capability of GWO algorithm is improved by hybridizing mutation and crossover operators of the evolutionary algorithm. Also, the genetic diversity of the grey wolf population is enhanced by eliminating weak individuals from the population. The proposed clustering algorithm's effectiveness is shown by detecting novel viral receptors and membrane proteins associated with the pathogenesis of SARS-CoV-2 infection. The expression profiles of ACE2 protein and its co-receptor factor are analyzed and compared with single-cell transcriptomics profiling using the Seurat R toolkit, mass spectrometry (MS), and immunohistochemistry (IHC). Our advanced clustering method infers that cell that expresses high ACE2 level are more affected by SARS-CoV-infection. So, SARS-CoV-2 virus affects lung, intestine, testis, heart, kidney, and liver more severely than brain, bone marrow, skin, spleen, etc. We have identified 58 novel viral receptors and 816 membrane proteins, and their role in the pathogenicity mechanism of SARS-CoV-2 infection has been studied. Besides, our study confirmed that Neuropilins (NRP1), G protein-coupled receptor 78 (GPR78), C-type lectin domain family 4 member M (CLEC4M), Kringle containing transmembrane protein 1 (KREMEN1), Asialoglycoprotein receptor 1 (ASGR1), A Disintegrin and metalloprotease 17 (ADAM17), Furin, Neuregulin-1,(NRG1), Basigin or CD147 and Poliovirus receptor (PVR) are the potential co-receptors of SARS-CoV-2 virus. A significant finding is that heparin derivative glycosaminoglycans could block the replication of SARS-CoV-2 virus inside the host cytoplasm. The membrane protein N-Deacetylase/N-Sulfotransferase-2 (NDST2), Extostosin protein (EXT1, EXT2, and EXT3), Glucuronic acid epimerase (GLCE), and Xylosyltransferase I, II (XYLT1, XYLT2) could act as the therapeutic target for inhibiting the spread of SARS-CoV-2 infection. Drugs such as carboplatin and gemcitabine are effective in such situations. - Source: PubMed
Publication date: 2022/08/25
Achom AmikaDas RanjitaPakray Partha - Polyphenolic and iridoid constituents of extracts were analyzed qualitatively and quantitatively using the ultraperformance liquid chromatography system coupled with a quadrupole-time of flight mass spectrometry. Primary cultured osteoblasts isolated from mouse calvarias and osteoclast-lineage primary cultured monocytes isolated from mouse bone marrow were used for the assessment of osteoblast and osteoclast differentiation. In the osteoblast culture, cellular viability, alkaline phosphatase (ALP) activity, ALP staining, and mRNA expression of Alpl and Runx2 were examined. In the osteoclast culture, the examined parameters were cellular viability, tartrate-resistant acid phosphatase (TRAP) activity and staining, and mRNA expression of Nfatc1, Ctsk, and Acp. - Source: PubMed
Publication date: 2022/10/03
Park EunkukSozański TomaszLee Chang-GunKucharska Alicja ZPrzybylska DominikaPiórecki NarcyzJeong Seon-Yong - The electron conformational genetic algorithm (EC-GA) method had been employed by distinguishing between enantiomers for the first time as a 4D-QSAR approach to reveal the pharmacophore (Pha) and to predict the bioactivity of the dipeptidyl boron compounds. The Electron Conformational Matrices of Congruity (ECMCs) were prepared for all conformers of compounds in the data set based on the quantum chemical calculations at HF/3-21 G level in an aqueous medium. The comparison of the ECMCs within the certain tolerances by the EMRE program revealed the pharmacophore for some dipeptidyl boron derivatives. For the selection of the most influential parameters on the activity and the calculation of theoretical activities, the genetic algorithm with the non-linear least square method was used. The final model was validated by the cross-validation method with the division of the data set into training and test items. The 12-parameter model gave excellent statistical results (R = 0.850, R = 0.809, q = 0.755, q = 0.776, q = 0.759, q = 0.735, CCC = 0.922, CCC = 0.846, CCC = 0.905). Because of the inexistence of 4D-QSAR studies on the dipeptidyl boron derivatives and the stereoisomerism effect on the biological activity was examined for the first time for these compounds, this study plays an important role in the development of new boron-containing compounds. - Source: PubMed
Publication date: 2019/12/23
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