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Loganetin

$600

Brand : BIOFRON
Catalogue Number : BD-D0506
Specification : HPLC≥98%
CAS number : 29748-10-5
Formula : C11H16O5
Molecular Weight : 228.244
PUBCHEM ID : 10466307
Volume : 20mg

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Catalogue Number

BD-D0506

Analysis Method

HPLC,NMR,MS

Specification

HPLC≥98%

Storage

-20℃

Molecular Weight

228.244

Appearance

oily liquid

Botanical Source

Cornus officinalis Sieb. et Zucc.

Structure Type

Iridoids

Category

Standards;Natural Pytochemical;API

SMILES

CC1C(CC2C1C(OC=C2C(=O)OC)O)O

Synonyms

Methyl (1R,4aS,6S,7R,7aS)-1,6-dihydroxy-7-methyl-1,4a,5,6,7,7a-hexahydrocyclopenta[c]pyran-4-carboxylate/loganin aglycone/Arsanilsaeure-N-oxalylsaeure/4-Oxalamino-phenylarsonsaeure/Cyclopenta[c]pyran-4-carboxylic acid, 1,4a,5,6,7,7a-hexahydro-1,6-dihydroxy-7-methyl-, methyl ester, (1R,4aS,6S,7R,7aS)-/Loganetin/p-Arsonooxanilic acid/loganigenin

IUPAC Name

methyl (1R,4aS,6S,7R,7aS)-1,6-dihydroxy-7-methyl-1,4a,5,6,7,7a-hexahydrocyclopenta[c]pyran-4-carboxylate

Density

1.3±0.1 g/cm3

Solubility

Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.

Flash Point

145.5±21.4 °C

Boiling Point

375.7±42.0 °C at 760 mmHg

Melting Point

InChl

InChI=1S/C18H17NO3/c1-20-12-2-3-13-11(6-12)7-14-16-10(4-5-19-14)8-15-18(17(13)16)22-9-21-15/h2-3,6,8,14,19H,4-5,7,9H2,1H3/t14-/m1/s1

InChl Key

XWOHZIIPBYAMJX-KHBMLBSESA-N

WGK Germany

RID/ADR

HS Code Reference

2933990000

Personal Projective Equipment

Correct Usage

For Reference Standard and R&D, Not for Human Use Directly.

Meta Tag

provides coniferyl ferulate(CAS#:29748-10-5) 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.

PMID

21715329

Abstract

Missense mutations in the amyloid precursor protein (APP) gene can cause familial Alzheimer disease. It is thought that APP and APP-like proteins (APLPs) may play a role in adhesion and signal transduction because their ectodomains interact with components of the extracellular matrix. Heparin binding induces dimerization of APP and APLPs. To help explain how these proteins interact with heparin, we have determined the crystal structure of the E2 domain of APLP1 in complex with sucrose octasulfate (SOS). A total of three SOS molecules are bound to the E2 dimer. Two SOSs are bound inside a narrow intersubdomain groove, and the third SOS is bound near the two-fold axis of the protein. Mutational analyses show that most residues interacting with SOS also contribute to heparin binding, although in varying degrees; a deep pocket, defined by His-376, Lys-422, and Arg-429, and an interfacial site between Lys-314 and its symmetry mate are most important in the binding of the negatively charged polysaccharide. Comparison with a lower resolution APP structure shows that all key heparin binding residues are conserved and identically positioned, suggesting that APLP1 and APP may bind heparin similarly. In transfected HEK-293 cells, mutating residues responsible for heparin binding causes little change in the proteolysis of APP by the secretases. However, mutating a pair of conserved basic residues (equivalent to Arg-414 and Arg-415 of APLP1) immediately adjacent to the heparin binding site affects both the maturation and the processing of APP.

KEYWORDS

Adhesion, Alzheimer's Disease, Heparin, Site-directed Mutagenesis, X-ray Crystallography, APP Processing

Title

Crystal Structure of the E2 Domain of Amyloid Precursor Protein-like Protein 1 in Complex with Sucrose Octasulfate*An external file that holds a picture, illustration, etc. Object name is sbox.jpg

Author

Yi Xue,1 Sangwon Lee,1 Yongcheng Wang,2 and Ya Ha3

Publish date

2011 Aug 26

PMID

27917038

Abstract

A catalogue of all named Nepticulidae and Opostegidae is presented, including fossil species. The catalogue is simultaneously published online in the scratchpad http://nepticuloidea.info/ and in Catalogue of Life (http://www.catalogueoflife.org/col/details/database/id/172). We provide a historical overview of taxonomic research on Nepticuloidea and a brief ‘state of the art’. A DNA barcode dataset with 3205 barcodes is made public at the same time, providing DNA barcodes of ca. 779 species, of which 2563 are identified as belonging to 444 validly published species. We recognise 862 extant and 18 fossil species of Nepticulidae in 22 extant genera and the fossil form genus Stigmellites. We count 192 valid Opostegidae species in 7 genera, without fossils. We also list seven dubious Nepticulidae names that cannot be placed due to absent type material and poor descriptions, 18 unavailable names in Nepticulidae that cannot be placed and we also list the 33 names (including four fossils) that once were placed as Nepticulidae or Opostegidae but are now excluded. All synonyms and previous combinations are listed. The generic classification follows the Molecular phylogeny that is published almost simultaneously. Subfamilies and tribes are not recognised, Trifurculinae Scoble, 1983 is synonymised with Nepticulidae Stainton, 1854 and Opostegoidinae Kozlov, 1987 is synonymised with Opostegidae Meyrick, 1893. The status of Casanovula Hoare, 2013, Etainia Beirne, 1945, Fomoria Beirne, 1945, Glaucolepis Braun, 1917, Menurella Hoare, 2013, Muhabbetana Kocak & Kemal, 2007 and Zimmermannia Hering, 1940 is changed from subgenus to full genus, whereas two genera are considered synonyms again: Manoneura Davis, 1979, a synonym of Enteucha Meyrick, 1915 and Levarchama Beirne, 1945, a synonym of Trifurcula Zeller, 1848. We propose 87 new combinations in Nepticulidae and 10 in Opostegidae, largely due to the new classification, and re-examination of some species. We propose the following 37 new synonymies for species (35 in Nepticulidae, 2 in Opostegidae):

Stigmella acerifoliella Dovnar-Zapolski, 1969 (unavailable, = Stigmella acerna Puplesis, 1988), Stigmella nakamurai Kemperman & Wilkinson, 1985 (= Stigmella palionisi Puplesis, 1984), Nepticula amseli Skala, 1941 (unavailable = Stigmella birgittae Gustafsson, 1985), Stigmella cathepostis Kemperman & Wilkinson, 1985 (= Stigmella microtheriella (Stainton, 1854)), Stigmella populnea Kemperman & Wilkinson, 1985 (= Stigmella nivenburgensis (Preissecker, 1942)), Nepticula obscurella Braun, 1912 (revised synonymy, = Stigmella myricafoliella (Busck, 1900)), Nepticula mandingella Gustafsson, 1972 (= Stigmella wollofella (Gustafsson, 1972)), Stigmella rosaefoliella pectocatena Wilkinson & Scoble, 1979 (= Stigmella centifoliella (Zeller, 1848)), Micropteryx pomivorella Packard, 1870 (= Stigmella oxyacanthella (Stainton, 1854)), Stigmella crataegivora Puplesis, 1985 (= Stigmella micromelis Puplesis, 1985), Stigmella scinanella Wilkinson & Scoble, 1979 (= Stigmella purpuratella (Braun, 1917)), Stigmella palmatae Puplesis, 1984 (= Stigmella filipendulae (Wocke, 1871)), Stigmella sesplicata Kemperman & Wilkinson, 1985 (= Stigmella lediella (Schleich, 1867)), Stigmella rhododendrifolia Dovnar-Zapolski & Tomilova, 1978 (unavailable, = Stigmella lediella (Schleich, 1867)), Stigmella oa Kemperman & Wilkinson, 1985 (= Stigmella spiculifera Kemperman & Wilkinson, 1985), Stigmella gracilipae Hirano, 2014 (= Stigmella monticulella Puplesis, 1984), Nepticula chaoniella Herrich-Schaffer, 1863 (= Stigmella samiatella (Zeller, 1839)), Bohemannia piotra Puplesis, 1984 (= Bohemannia pulverosella (Stainton, 1849)), Bohemannia nipponicella Hirano, 2010 (= Bohemannia manschurella Puplesis, 1984), Sinopticula sinica Yang, 1989 (= Glaucolepis oishiella (Matsumura, 1931)), Trifurcula collinella Nel, 2012 (= Glaucolepis magna (A. Laštuvka & Z. Laštuvka, 1997)), Obrussa tigrinella Puplesis, 1985 (= Etainia trifasciata (Matsumura, 1931)), Microcalyptris vittatus Puplesis, 1984 and Microcalyptris arenosus Falkovitsh, 1986 (both = Acalyptris falkovitshi (Puplesis, 1984)), Ectoedemia castaneae Busck, 1913, Ectoedemia heinrichi Busck, 1914 and Ectoedemia helenella Wilkinson, 1981 (all three = Zimmermannia bosquella (Chambers, 1878)), Ectoedemia chloranthis Meyrick, 1928 and Ectoedemia acanthella Wilkinson & Newton, 1981 (both = Zimmermannia grandisella (Chambers, 1880)), Ectoedemia coruscella Wilkinson, 1981 (= Zimmermannia mesoloba (Davis, 1978)), Ectoedemia piperella Wilkinson & Newton, 1981 and Ectoedemia reneella Wilkinson, 1981 (both = Zimmermannia obrutella (Zeller, 1873)), Ectoedemia similigena Puplesis, 1994 (= Ectoedemia turbidella (Zeller, 1848)), Ectoedemia andrella Wilkinson, 1981 (= Ectoedemia ulmella (Braun, 1912)), Nepticula canadensis Braun, 1917 (= Ectoedemia minimella (Zetterstedt, 1839)), Opostega rezniki Kozlov, 1985 (= Opostega cretatella Chretien, 1915), Pseudopostega cyrneochalcopepla Nel & Varenne, 2012 (= Pseudopostega chalcopepla (Walsingham, 1908)). Stigmella caryaefoliella (Clemens, 1861) and Zimmermannia bosquella (Chambers, 1878) are taken out of synonymy and re-instated as full species. Lectotypes are designated for Trifurcula obrutella Zeller, 1873 and Nepticula grandisella Chambers, 1880.

KEYWORDS

Taxonomy, leaf miners, checklist, history, new synonyms, new combinations

Title

Revised classification and catalogue of global Nepticulidae and Opostegidae (Lepidoptera, Nepticuloidea)

Author

Erik J. van Nieukerken,1 Camiel Doorenweerd,1 Robert J. B. Hoare,2 and Donald R. Davis3

Publish date

2016

PMID

30541017

Abstract

Background and Aims
The study investigates the practical utility of whole-blood gene expression profiling to diagnose inflammatory bowel diseases [IBDs].

Methods
The discovery cohorts included 102 and 51 paediatric IBD patients and controls, and 95 and 46 adult IBD patients and controls, respectively. The replication cohorts included 447 and 76 paediatric IBD patients and controls, and 271 and 108 adult IBD patients and controls, respectively. In the discovery phase, RNA samples extracted from whole peripheral blood were analysed using RNA-Seq, and the predictive values of selected biomarkers were validated using quantitative polymerase chain reaction [qPCR].

Results
In all, 15 differentially expressed transcripts [adjusted p ≤0.05] were selected from the discovery sequencing datasets. The receiver operating characteristic curves and area under the curve [ROC-AUC] in replication analyses showed high discriminative power [AUC range, 0.91-0.98] for 11 mRNAs in paediatric patients with active IBD. By contrast, the AUC-ROC values ranged from 0.63 to 0.75 in comparison among inactive paediatric IBDs and active/inactive adult IBDs, indicating a lack of discriminative power. The best multi-mRNA diagnostic classifier showed moderate discriminative power [AUC = 0.81] for paediatric inactive IBD, but was not able to discriminate active or inactive adult IBD patients from controls. The AUC-ROC values did not confirm an ability of the mRNAs abundances to discriminate between active ulcerative colitis and active Crohn’s disease in paediatric or adult populations.

Conclusions
This study identifies and validates blood transcriptional biomarkers that could be used in clinical settings as diagnostic predictors of IBD clinical activity in paediatric, but not adult, IBD patients.

KEYWORDS

RNA-Seq, whole-blood gene expression, biomarker, inflammatory bowel disease

Title

Redefining the Practical Utility of Blood Transcriptome Biomarkers in Inflammatory Bowel Diseases

Author

Jerzy Ostrowski,1,2 Michalina Dabrowska,1 Izabella Lazowska,3 Agnieszka Paziewska,2 Aneta Balabas,1 Anna Kluska,1 Maria Kulecka,2 Jakub Karczmarski,1 Filip Ambrozkiewicz,1 Magdalena Piatkowska,1 Krzysztof Goryca,1 Natalia Zeber-Lubecka,2 Jaroslaw Kierkus,4 Piotr Socha,4 Michal Lodyga,5 Maria Klopocka,6 Barbara Iwanczak,7 Katarzyna Bak-Drabik,8 Jaroslaw Walkowiak,9 Piotr Radwan,10 Urszula Grzybowska-Chlebowczyk,11 Bartosz Korczowski,12 Teresa Starzynska,13 and Michal Mikula1

Publish date

2019 Apr