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Catalogue Number : BN-B1552
Specification : 98%(HPLC)
CAS number : 67879-81-6
Formula : C16H19NO3
Molecular Weight : 273.33
PUBCHEM ID : 155059
Volume : 5mg

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Catalogue Number


Analysis Method





Molecular Weight



Botanical Source

Structure Type





2(1H)-Quinolinone, 8-hydroxy-4-methoxy-1-methyl-3-(3-methyl-2-buten-1-yl)-/8-Hydroxy-4-methoxy-1-methyl-3-(3-methyl-2-buten-1-yl)-2(1H)-quinolinone/2(1H)-Quinolinone, 8-hydroxy-4-methoxy-1-methyl-3-(3-methyl-2-butenyl)-




1.2±0.1 g/cm3


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

Flash Point

201.9±28.7 °C

Boiling Point

410.2±45.0 °C at 760 mmHg

Melting Point


InChl Key


WGK Germany


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#:67879-81-6) 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.




Monocytes and monocyte-derived macrophages express relatively low levels of CD4. Despite this, macrophages can be effectively infected with human immunodeficiency virus type 1. Macrophages have a critical role in human immunodeficiency virus type 1 transmission; however, the mechanism or mechanisms of virus infection are poorly understood. We report that growth factors, such as granulocyte macrophage colony-stimulating factor and macrophage colony-stimulating factor affect the phenotypic profile and permissiveness of macrophages to human immunodeficiency virus type 1. Human immunodeficiency virus type 1 infection of monocyte-derived macrophages derived from granulocyte macrophage and macrophage colony-stimulating factors was predominantly facilitated by the sialic acid-binding immunoglobulin-like lectin-1. The number of sialic acid-binding immunoglobulin-like lectin receptors on macrophage colony-stimulating factor-derived monocyte-derived macrophages was significantly greater than on granulocyte macrophage colony-stimulating factor-derived monocyte-derived macrophages, and correspondingly, human immunodeficiency virus type 1 infection was greater in the macrophage colony-stimulating factor-derived monocyte-derived macrophages. Single-genome analysis and quantitative reverse transcriptase-polymerase chain reaction revealed that the differences in infectivity was not due to differences in viral fitness or in viral variants with differential infectivity but was due to reduced viral entry into the granulocyte macrophage colony-stimulating factor-derived monocyte-derived macrophages. Anti-sialic acid-binding immunoglobulin-like lectin, trimeric glycoprotein 145, and scaffolded V1V2 proteins were bound to sialic acid-binding immunoglobulin-like lectin and significantly reduced human immunodeficiency virus type 1 entry and infection. Furthermore, sialic acid residues present in the V1V2 region of the envelope protein mediated human immunodeficiency virus type 1 interaction with sialic acid-binding immunoglobulin-like lectin and entry into macrophage colony-stimulating factor-derived monocyte-derived macrophages. Removal of sialic acid residues or glycans from scaffolded V1V2 protein decreased human immunodeficiency virus type 1 infectivity. These results highlight the importance of sialic acids on the V1V2 region in binding to sialic acid-binding immunoglobulin-like lectin and suggest that the unusually long surface-exposed sialic acid-binding immunoglobulin-like lectin might aid in the capture and entry of human immunodeficiency virus type 1 into monocyte-derived macrophages.


GM-CSF, M-CSF, qRT-PCR, viral entry, flow cytometry, surface plasmon resonance


Effect of cytokines on Siglec-1 and HIV-1 entry in monocyte-derived macrophages: the importance of HIV-1 envelope V1V2 region


Ousman Jobe,*† Hung V. Trinh,*†,1 Jiae Kim,*†,1 Wadad Alsalmi,‡ Sodsai Tovanabutra,*§ Philip K. Ehrenberg,*¶ Kristina K. Peachman,*† Guofen Gao,‡ Rasmi Thomas,*¶ Jerome H. Kim,§ Nelson L. Michael,§ Carl R. Alving,† Venigalla B. Rao,‡ and Mangala Rao†,2

Publish date

2016 Jun;




The gender ratio among children in the autism spectrum of more than four boys to every girl is widely recognized. The authors present an analysis of gender differences among 79 482 symptoms and strengths in 1495 boys and 336 girls aged 2 to 18 years from parent-identified autistic children reported to a structurally novel anonymous parent-entered online database, Autism360. The data reveal differences that provide previously undetected clues to gender differences in immune and central nervous system and gastrointestinal functional disturbances. Together with published observations of male/female differences in inflammation, oxidative stress, and detoxication, these findings open doors to research focusing on gender physiology as clues to etiologic factors in autism. This study exemplifies a research method based on a large, detailed, patient-entered, structured data set in which patterns of individual illness and healing may answer collective questions about prevention and treatment.


Autism spectrum disorders, gender, information technology


Gender Differences Among Children With Autism Spectrum Disorder: Differential Symptom Patterns


Sidney M. Baker, MDcorresponding author and Andrew Milivojevich

Publish date

2013 Nov;




Barbed and woven wire fences, common structures across western North America, act as impediments to wildlife movements. In particular, fencing influences pronghorn (Antilocapra americana) daily and seasonal movements, as well as modifying habitat selection. Because of fencing’s impacts to pronghorn and other wildlife, it is a potentially important factor in both wildlife movement and habitat selection models. At this time, no geospatial fencing data is available at regional scales. Consequently, we constructed a regional fence model using a series of land tenure assumptions for the Hi-Line region of northern Montana – an area consisting of 13 counties over 103,400 km2. Randomized 3.2 km long transects (n = 738) on both paved and unpaved roads were driven to collect information on habitat, fence densities and fence type. Using GIS, we constructed a fence location and a density model incorporating ownership, size, neighboring parcels, township boundaries and roads. Local knowledge of land ownership and land use assisted in improving the final models. We predict there is greater than 263,300 km of fencing in the Hi-Line region, with a maximum density of 6.8 km of fencing per km2 and mean density of 2.4 km of fencing per km2. Using field data to assess model accuracy, Cohen’s Kappa was measured at 0.40. On-the-ground fence modification or removal could be prioritized by identifying high fence densities in critical wildlife areas such as pronghorn migratory pathways or sage grouse lekking habitat. Such novel fence data can assist wildlife and land managers to assess effects of anthropogenic features to wildlife at various scales; which in turn may help conserve declining grassland species and overall ecological functionality.


Modeling Fence Location and Density at a Regional Scale for Use in Wildlife Management


Erin E. Poor, 1 , 2 , * Andrew Jakes, 3 Colby Loucks, 2 and Mike Suitor 3 , 4 Justin David Brown, Editor

Publish date