Anti-F8 monoclonal antibody, clone 2F9

Name: Anti-F8 monoclonal antibody, clone 2F9
SKU: CABT-10079MH
Rating: 5 (1 reviews)

Mouse anti-Human F8 monoclonal antibody for sELISA, ELISA

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COA

SDS

Datasheet

Summary

Specifications

Antibody Isotype

IgG2b

Clone

2F9

Species Reactivity

Human

Immunogen

F8 (NP_000123, 213 a.a. ~ 313 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa.

Conjugate

Unconjugated

Target

Alternative Names

coagulation factor VIII, procoagulant component; AHF; HEMA; F8B; F8C; coagulation factor VIII; DXS1253E; coagulation factor VIIIc; FVIII; factor VIII F8B; Antihemophilic factor; Procoagulant component; OTTHUMP00000024269; OTTHUMP00000196174

Entrez Gene ID

2157

UniProt ID

P00451

Product Background

Antigen Description

This gene encodes coagulation factor VIII, which participates in the intrinsic pathway of blood coagulation; factor VIII is a cofactor for factor IXa which, in the presence of Ca+2 and phospholipids, converts factor X to the activated form Xa. This gene produces two alternatively spliced transcripts. Transcript variant 1 encodes a large glycoprotein, isoform a, which circulates in plasma and associates with von Willebrand factor in a noncovalent complex. This protein undergoes multiple cleavage events. Transcript variant 2 encodes a putative small protein, isoform b, which consists primarily of the phospholipid binding domain of factor VIIIc. This binding domain is essential for coagulant activity. Defects in this gene results in hemophilia A, a common recessive X-linked coagulation disorder.
Mouse monoclonal antibody raised against a partial recombinant F8.

Pathway

Blood Clotting Cascade, organism-specific biosystem; Complement and Coagulation Cascades, organism-specific biosystem; Complement and coagulation cascades, organism-specific biosystem; Complement and coagulation cascades, conserved biosystem; Formation of Fibrin Clot (Clotting Cascade), organism-specific biosystem; Formation of Platelet plug, organism-specific biosystem

Citations

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Documents

pdf COA

pdf SDS

pdf Datasheet

QA & Reviews

Customer Reviews

References

Energy Landscape of Vertically Anisotropic Polymer Blend Films toward Highly Efficient Polymer Light-Emitting Diodes (PLEDs)

ADVANCED FUNCTIONAL MATERIALS

Authors: Hassan, Muhammad Umair; Liu, Yee-Chen; Yetisen, Ali K.; Butt, Haider; Friend, Richard Henry

Abstract

A blend of two hole-dominant polymers is created and used as the light emissive layer in light-emitting diodes to achieve high luminous efficiency up to 22 cd A(-1). The polymer blend F8(1-x)SY(x) is based on poly(9,9-dioctylfluorene) (F8) and poly(para-phenylene vinylene) derivative superyellow (SY). The blend system exhibits a preferential vertical concentration distribution. The resulting energy landscape modifies the overall charge transport behavior of the blend emissive layer. The large difference between the highest unoccupied molecular orbital levels of F8 (5.8 eV) and SY (5.3 eV) introduces hole traps at SY sites within the F8 polymer matrix. This slows down the hole mobility and facilitates a balance between the transport behavior of both the charge carriers. The balance due to such energy landscape facilitates efficient formation of excitons within the emission zone well away from the cathode and minimizes the surface quenching effects. By bringing the light-emission zone in the middle of the F8(1-x)SY(x) film, the bulk of the film is exploited for the light emission. Due to the charge trapping nature of SY molecules in F8 matrix and pushing the emission zone in the center, the radiative recombination rate also increases, resulting in excellent device performance.

Analysing the Cognitive load for Monolinguals using EEG

2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS)

Authors: Sukeerthi, Sakthivel; Veezhinathan, Mahesh; Geethanjali, B.

Abstract

The effective transfer of information to the brain is possible only when the redundant load is not forced on a learner and this will help in the successful encoding of information. Assessing the cognitive load becomes a crucial imperative for the learner as the profound cognitive load can have negative effects on task achievement affecting the information transfer. Analyzing the cognitive load in learning environments during task switching becomes a primary concern. In the present study, the cognitive load associated with different tasks (650 L and 1500 L) have assessed using Electroencephalograph (EEG) for 10 monolingual participants and the task performances had tested The event-related synchronization and desynchronization had calculated for all EEG across nineteen electrode locations. As the cognitive load increases, at T3, T4, F8 and Fp1 electrode locations the alpha desynchronization and Theta synchronization were much different (P <0.05) and this helps improve accuracy for high lexical level. The task performance, accuracy was the same for high and low cognitive loads, but mean RT (reaction time) was diverse only for related words. The study concludes monolingual performed fine on the linguistics task, it should have been compared to bilinguals and non-linguistics task for further decisive results.