Catalogue Number
AV-B03228
Analysis Method
HPLC,NMR,MS
Specification
95%
Storage
2-8°C
Molecular Weight
340.37
Appearance
Oil
Botanical Source
Structure Type
Lignans
Category
Standards;Natural Pytochemical;API
SMILES
CC1C(OC2=CC(=O)C(C=C12)(CC=C)OC)C3=CC4=C(C=C3)OCO4
Synonyms
6(2H)-Benzofuranone, 2-(1,3-benzodioxol-5-yl)-3,5-dihydro-5-methoxy-3-methyl-5-(2-propen-1-yl)-, (2S,3S,5S)-/(2S,3S,5S)-5-Allyl-2-(1,3-benzodioxol-5-yl)-5-methoxy-3-methyl-3,5-dihydro-1-benzofuran-6(2H)-one
IUPAC Name
(2S,3S,5S)-2-(1,3-benzodioxol-5-yl)-5-methoxy-3-methyl-5-prop-2-enyl-2,3-dihydro-1-benzofuran-6-one
Density
1.3±0.1 g/cm3
Solubility
Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.
Flash Point
216.3±28.8 °C
Boiling Point
490.8±45.0 °C at 760 mmHg
Melting Point
InChl
InChI=1S/C20H20O5/c1-4-7-20(22-3)10-14-12(2)19(25-16(14)9-18(20)21)13-5-6-15-17(8-13)24-11-23-15/h4-6,8-10,12,19H,1,7,11H2,2-3H3/t12-,19-,20-/m0/s1
InChl Key
HCKMSYACKQLOPY-OUWQEXSBSA-N
WGK Germany
RID/ADR
HS Code Reference
Personal Projective Equipment
Correct Usage
For Reference Standard and R&D, Not for Human Use Directly.
Meta Tag
provides coniferyl ferulate(CAS#:57430-03-2) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate
No Technical Documents Available For This Product.
26130695
Numerous genetic factors that influence breast cancer risk are known. However, approximately two-thirds of the overall familial risk remain unexplained. To determine whether some of the missing heritability is due to rare variants conferring high to moderate risk, we tested for an association between the c.5791C>T nonsense mutation (p.Arg1931*; rs144567652) in exon 22 of FANCM gene and breast cancer. An analysis of genotyping data from 8635 familial breast cancer cases and 6625 controls from different countries yielded an association between the c.5791C>T mutation and breast cancer risk [odds ratio (OR) = 3.93 (95% confidence interval (CI) = 1.28-12.11; P = 0.017)]. Moreover, we performed two meta-analyses of studies from countries with carriers in both cases and controls and of all available data. These analyses showed breast cancer associations with OR = 3.67 (95% CI = 1.04-12.87; P = 0.043) and OR = 3.33 (95% CI = 1.09-13.62; P = 0.032), respectively. Based on information theory-based prediction, we established that the mutation caused an out-of-frame deletion of exon 22, due to the creation of a binding site for the pre-mRNA processing protein hnRNP A1. Furthermore, genetic complementation analyses showed that the mutation influenced the DNA repair activity of the FANCM protein. In summary, we provide evidence for the first time showing that the common p.Arg1931* loss-of-function variant in FANCM is a risk factor for familial breast cancer.
FANCM c.5791C>T nonsense mutation (rs144567652) induces exon skipping, affects DNA repair activity and is a familial breast cancer risk factor
Paolo Peterlongo, Irene Catucci, Mara Colombo, Laura Caleca, Eliseos Mucaki, Massimo Bogliolo, Maria Marin, Francesca Damiola, Loris Bernard, Valeria Pensotti, Sara Volorio, Valentina Dall'Olio, Alfons Meindl, Claus Bartram, Christian Sutter, Harald Surowy, Valerie Sornin, Marie-Gabrielle Dondon, Severine Eon-Marchais, Dominique Stoppa-Lyonnet, Nadine Andrieu, Olga M. Sinilnikova, GENESIS, Gillian Mitchell, Paul A. James, Ella Thompson, kConFab, SWE-BRCA, Marina Marchetti, Cristina Verzeroli, Carmen Tartari, Gabriele Lorenzo Capone, Anna Laura Putignano, Maurizio Genuardi, Veronica Medici, Isabella Marchi, Massimo Federico, Silvia Tognazzo, Laura Matricardi, Simona Agata, Riccardo Dolcetti, Lara Della Puppa, Giulia Cini, Viviana Gismondi, Valeria Viassolo, Chiara Perfumo, Maria Antonietta Mencarelli, Margherita Baldassarri, Bernard Peissel, Gaia Roversi, Valentina Silvestri, Piera Rizzolo, Francesca Spina, Caterina Vivanet, Maria Grazia Tibiletti, Maria Adelaide Caligo, Gaetana Gambino, Stefania Tommasi, Brunella Pilato, Carlo Tondini, Chiara Corna, Bernardo Bonanni, Monica Barile, Ana Osorio, Javier Benitez, Luisa Balestrino, Laura Ottini, Siranoush Manoukian, Marco A. Pierotti, Alessandra Renieri, Liliana Varesco, Fergus J. Couch, Xianshu Wang, Peter Devilee, Florentine S. Hilbers, Christi J. van Asperen, Alessandra Viel, Marco Montagna, Laura Cortesi, Orland Diez, Judith BalmaNa, Jan Hauke, Rita K. Schmutzler, Laura Papi, Miguel Angel Pujana, Conxi Lazaro, Anna Falanga, Kenneth Offit, Joseph Vijai, Ian Campbell, Barbara Burwinkel, Anders Kvist, Hans Ehrencrona, Sylvie Mazoyer, Sara Pizzamiglio, Paolo Verderio, Jordi Surralles, Peter K. Rogan, Paolo Radice
2015 Sep 15;
28604721
Hi-C is a genome-wide sequencing technique to investigate the 3D chromatin conformation inside the nucleus. The most studied structures that can be identified from Hi-C – chromatin interactions and topologically associating domains (TADs) – require computational methods to analyze genome-wide contact probability maps. We quantitatively compared the performances of 13 algorithms for the analysis of Hi-C data from 6 landmark studies and simulations. The comparison revealed clear differences in the performances of methods to identify chromatin interactions and more comparable results of algorithms for TAD detection.
Comparison of computational methods for Hi-C data analysis
Mattia Forcato, Chiara Nicoletti, Koustav Pal, Carmen Maria Livi, Francesco Ferrari, Silvio Bicciato
2017 Dec 12.
28530253
The objectives of this study were to identify signs of vestibular nerve suffering through a bedside vestibular examination protocol in case of sudden sensorineural unilateral hearing loss without spontaneous signs of vestibular impairment and to propose a bed-side vestibular examination based protocol for the focused execution of gadolinium-enhanced magnetic resonance imaging (MRI) only if a vestibular schwannoma is suspected. 96 patients, 52 men, 44 women, mean age 57.73 +/- 12.85 years, suffering from sudden sensorineural unilateral hearing loss, which presented neither vertigo nor spontaneous nystagmus, were enrolled. Pure tone audiometry, tympanometry, measurement of acoustic reflexes and Anderson test to detect adaptation, bedside vestibular examination through head shaking test, vibration test, head impulse test, hyperventilation test and detection of nystagmus in supine and lateral decubitus to search for signs of vestibular impairment were performed. Patients with signs of vestibular impairment and pure tone audiometry threshold at high frequencies better than 70 dB nHL were subjected to auditory brainstem responses. Gadolinium enhanced MRI centred on internal acoustic canals was carried out in all patients with sudden sensorineural unilateral hearing loss. Main outcome measures were signs of vestibular impairment at vestibular bedside examination and presence of vestibular schwannoma on MRI. Signs of vestibular impairment were detected in 22/96 cases (22.9%); a vestibular schwannoma was detected by MRI in 5/96 cases (5.2%), always when vestibular impairment was present. In case of sudden sensorineural unilateral hearing loss, vestibular bedside examination seems to be useful to restrict the suspicion of a vestibular schwannoma to cases with signs of vestibular impairment, reducing the number of MRI exams, with considerable economic savings.
Vestibular Schwannoma, Sudden Sensorineural Hearing Loss, Vestibular bed-side examination
Sensitivity and specificity of vestibular bed-side examination in detecting VIII cranial nerve schwannoma with sensorineural sudden unilateral hearing loss as presenting symptom
L. Califano, F. Salafia, M.G. Melillo, S. Mazzone
2017 Aug;
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