Recombinant Canine IL-6 Protein [His]

Name: Recombinant Canine IL-6 Protein [His]
SKU: DAGC264
Rating: 5 (1 reviews)

Recombinant Canine IL-6 Protein from E. coli [His]

COA

SDS

Datasheet

Summary

Product Overview

Ala18 - Met207 with N-terminal His Tag

Nature

Recombinant

Tag/Conjugate

His

Molecular Weight

25kDa

Endotoxin

<1.0EU per 1μg (determined by the LAL method)

Alternative Names

IL6; interleukin 6; IL-6; Canine IL6; Canine IL-6; Canien interleukin 6

Format

Lyophilized

Buffer

PBS, pH7.4, containing 0.01% SKL, 1mM DTT, 5% Trehalose and Proclin300.

Preservative

Proclin 300

Storage

Avoid repeated freeze/thaw cycles. Store at 2-8°C for one month. Aliquot and store at -80°C for 12 months.

Reconstitution

Reconstitute in PBS or others.

Introduction

Interleukin-6 (IL-6) is a multifunctional α-helical cytokine that regulates cell growth and differentiation of various tissues, which is known particularly for its role in the immune response and acute phase reactions. IL-6 protein is secreted by a variety of cell types including T cells and macrophages as phosphorylated and variably glycosylated molecule. It exerts actions through the its heterodimeric receptor composed of IL-6R that lacks the tyrosine/kinase domain and binds IL-6 with low affinity, and ubiquitously expressed glycoprotein 13 (gp13) that binds the IL-6. IL-6R complex with high affinity and thus transduces signals. IL-6 is also involved in hematopoiesis, bone metabolism, and cancer progression, and has been defined an essential role in directing transition from innate to acquired immunity.

Keywords

IL6; interleukin 6; IL-6; Canine IL6; Canine IL-6; Canien interleukin 6

Citations

Have you cited DAGC264 in a publication? Let us know and earn a reward for your research.

Documents

pdf COA

pdf SDS

pdf Datasheet

QA & Reviews

Customer Reviews

References

Predictive Ability of Preoperative PT-INR and Postoperative MCP1 for Post-hepatectomy Liver Failure

IN VIVO

Authors: Arisaka, Sayaka; Matsuyama, Ryusei; Goto, Koki; Suwa, Yusuke; Mori, Ryutaro; Morioka, Daisuke; Taguri, Masataka; Endo, Itaru

Abstract

Background: We sought a diagnostic tool using perioperative variables that might predict post-hepatectomy liver failure (PHLF). Patients and Methods: In 68 patients undergoing major hepatectomy, data on inflammatory markers and coagulation factors were prospectively collected and were compared between patients with International Study Group of Liver Surgery definition grade B/C PHLF (LF group) and those without LF (non-LF group). Results: Preoperatively, the LF group (n=9; 13.2%) had a lower platelet count and a disintegrin-like and metalloproteinase with thrombospondin type 1 motifs 13 (ADAMTSJ3) activity and a higher prothrombin time-International Normalized Ratio (PT-INR) than the non-LF group. On postoperative day 1, the LF group had significantly higher serum interleukin 6 (IL6), C-C motif chemokine ligand 2 (CCL2), and IL10 levels than the non-LF group. The logistic regression model that included preoperative PT-INR and CCL2 on postoperative day 1 predicted grade B/C PHLF with 100% sensitivity and 89.8% specificity. Conclusion: Our findings suggest that the combination of preoperative PT-INR and CCL2 on postoperative day 1 can predict PHLF earlier and precisely after major hepatectomy.

Assessment of the Microbiome Role in Skin Protection Against UV Irradiation Via Network Analysis

JOURNAL OF LASERS IN MEDICAL SCIENCES

Authors: Heidari, Mohammad Hossein; Razzaghi, Mohammadreza; Baghban, Alireza Akbarzadeh; Rostami-Nejad, Mohammad; Rezaei-Tavirani, Mostafa; Azodi, Mona Zamanian; Zali, Alireza; Ahmadzadeh, Alireza

Abstract

Introduction: Diverse microbiotas which have some contributions to gene expression reside in human skin. To identify the protective role of the skin microbiome against UV exposure, protein-protein interaction (PPI) network analysis is used to assessment gene expression alteration. Methods: A microarray dataset, GEO accession number GSE117359, was considered in this respect. Differential expressed genes (DEGs) in the germ-free (GF) and specific pathogen-free (SPF) groups are analyzed by GEO2R. The top significant DEGs were assigned for network analysis via Cytoscape 3.7.2 and its applications. Results: A total of 28 genes were identified as significant DEGs and the centrality analysis of the network indicated that only one of the seven hub-bottlenecks was from queried genes. The gene ontology analysis of Il6, Cxcl2, Cxcl1, TNF, Il10, Cxcl10, and Mmp9 showed that the crucial genes were highly enriched in the immune system. Conclusion: The skin microbiome plays a significant role in the protection of skin against UV irradiation and the role of TNF and IL6 is prominent in this regard.