Bassianin
* Please be kindly noted products are not for therapeutic use. We do not sell to patients.
| Category | Mycotoxins |
| Catalog number | BBF-04674 |
| CAS | 54278-73-8 |
| Molecular Weight | 395.45 |
| Molecular Formula | C23H25NO5 |
| Purity | >95% by HPLC |
Online Inquiry
Description
Bassianin is a fungal metabolite isolated from Beauveria bassiana. Bassianin is cytotoxic to Sf9 and Sf21 insect cells with 50% cytotoxic concentration (CC50) values of 4.91 and 12.12 µM, respectively.
Specification
| Storage | Store at -20°C |
| IUPAC Name | 3-[(2E,4E,6E)-6,8-dimethyldeca-2,4,6-trienoyl]-1,4-dihydroxy-5-(4-hydroxyphenyl)pyridin-2-one |
| Canonical SMILES | CCC(C)C=C(C)C=CC=CC(=O)C1=C(C(=CN(C1=O)O)C2=CC=C(C=C2)O)O |
| InChI | InChI=1S/C23H25NO5/c1-4-15(2)13-16(3)7-5-6-8-20(26)21-22(27)19(14-24(29)23(21)28)17-9-11-18(25)12-10-17/h5-15,25,27,29H,4H2,1-3H3/b7-5+,8-6+,16-13+ |
| InChI Key | LJUJZTYMRBJWDZ-ZDNNFFFZSA-N |
Properties
| Solubility | Soluble in methanol, DMSO |
Reference Reading
1. Artificial intelligence in head and neck cancer diagnosis
Sara Bassani, Nicola Santonicco, Albino Eccher, Aldo Scarpa, Matteo Vianini, Matteo Brunelli, Nicola Bisi, Riccardo Nocini, Luca Sacchetto, Enrico Munari, Liron Pantanowitz, Ilaria Girolami, Gabriele Molteni J Pathol Inform. 2022 Nov 8;13:100153. doi: 10.1016/j.jpi.2022.100153. eCollection 2022.
Introduction: Artificial intelligence (AI) is currently being used to augment histopathological diagnostics in pathology. This systematic review aims to evaluate the evolution of these AI-based diagnostic techniques for diagnosing head and neck neoplasms. Materials and methods: Articles regarding the use of AI for head and neck pathology published from 1982 until March 2022 were evaluated based on a search strategy determined by a multidisciplinary team of pathologists and otolaryngologists. Data from eligible articles were summarized according to author, year of publication, country, study population, tumor details, study results, and limitations. Results: Thirteen articles were included according to inclusion criteria. The selected studies were published between 2012 and March 1, 2022. Most of these studies concern the diagnosis of oral cancer; in particular, 6 are related to the oral cavity, 2 to the larynx, 1 to the salivary glands, and 4 to head and neck squamous cell carcinoma not otherwise specified (NOS). As for the type of diagnostics considered, 12 concerned histopathology and 1 cytology. Discussion: Starting from the pathological examination, artificial intelligence tools are an excellent solution for implementing diagnosis capability. Nevertheless, today the unavailability of large training datasets is a main issue that needs to be overcome to realize the true potential.
2. Rayleigh-Bénard convection with thermal boundary inhomogeneities
Francesca Bassani, Davide Poggi, Luca Ridolfi, Jost von Hardenberg Phys Rev E. 2022 Feb;105(2-2):025108. doi: 10.1103/PhysRevE.105.025108.
Rayleigh-Bénard convection with nonhomogeneous thermal boundaries (sinusoidal temperature patterns set in-phase at the top and bottom plates) is numerically studied in three- and two-dimensional domains. Two spatial convective scales occur: the one due to the self-organized clustering of plumes-which is known to appear in homogeneous conditions-and the scale induced by the boundary heterogeneities. The latter drives the convection patterning, both in 3D and 2D, when the wavelength of the perturbation is comparable with the self-organized one.
3. Identification of tumor antigens with immunopeptidomics
Chloe Chong, George Coukos, Michal Bassani-Sternberg Nat Biotechnol. 2022 Feb;40(2):175-188. doi: 10.1038/s41587-021-01038-8. Epub 2021 Oct 11.
The identification of actionable tumor antigens is indispensable for the development of several cancer immunotherapies, including T cell receptor-transduced T cells and patient-specific mRNA or peptide vaccines. Most known tumor antigens have been identified through extensive molecular characterization and are considered canonical if they derive from protein-coding regions of the genome. By eluting human leukocyte antigen-bound peptides from tumors and subjecting these to mass spectrometry analysis, the peptides can be identified by matching the resulting spectra against reference databases. Recently, mass-spectrometry-based immunopeptidomics has enabled the discovery of noncanonical antigens-antigens derived from sequences outside protein-coding regions or generated by noncanonical antigen-processing mechanisms. Coupled with transcriptomics and ribosome profiling, this method enables the identification of thousands of noncanonical peptides, of which a substantial fraction may be detected exclusively in tumors. Spectral matching against the immense noncanonical reference may generate false positives. However, sensitive mass spectrometry, analytical validation and advanced bioinformatics solutions are expected to uncover the full landscape of presented antigens and clinically relevant targets.
Recommended Products
| BBF-03753 | Baicalin | Inquiry |
| BBF-02642 | Lactonamycin | Inquiry |
| BBF-01693 | Doxorubicin EP Impurity A (Daunorubicin) | Inquiry |
| BBF-02614 | Nystatin | Inquiry |
| BBF-03755 | Actinomycin D | Inquiry |
| BBF-00764 | Cerebroside C | Inquiry |
Bio Calculators
* Our calculator is based on the following equation:
Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2
* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O √ c22h30n40 ╳
