SKU: 8613900010

S-RMab® PD-L1 Recombinant Rabbit mAb,PBS Only (SDT-119-286)

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Description

S-RMab® PD-L1 Recombinant Rabbit mAb,PBS Only (SDT-119-286)Product Specification Host Rabbit Antigen PD L1 Synonyms Programmed cell death 1 ligand 1, PDCD1 ligand 1, Programmed death ligand 1, hPD L1, B7 homolog 1, B7 H1, CD274, B7H1, PDCD1L1, PDCD1LG1 Immunogen Recombinant Protein Location Cell membrane Accession Q9NZQ7 Clone Number SDT 119 286 Antibody Type Recombinant mAb Isotype IgG Application WB, IHC P Reactivity Hu Purification Protein A Concentration 1 mg ml Conjugation Unconjugated Physical

Product Specification


Host Rabbit
Antigen PD-L1
Synonyms Programmed cell death 1 ligand 1, PDCD1 ligand 1, Programmed death ligand 1, hPD-L1, B7 homolog 1, B7-H1, CD274, B7H1, PDCD1L1, PDCD1LG1
Immunogen Recombinant Protein
Location Cell membrane
Accession Q9NZQ7
Clone Number SDT-119-286
Antibody Type Recombinant mAb
Isotype IgG
Application WB, IHC-P
Reactivity Hu
Purification Protein A
Concentration 1 mg/ml
Conjugation Unconjugated
Physical Appearance Liquid
Storage Buffer

PBS

Stability & Storage

12 months from date of receipt / reconstitution, 4 °C as supplied

Dilution


application dilution species
WB 1:1000
IHC-P 1:100

Background

Programmed death-ligand 1 (PD-L1) also known as cluster of differentiation 274 (CD274) or B7 homolog 1 (B7-H1) is a protein that in humans is encoded by the CD274 gene. Programmed death-ligand 1 (PD-L1) is a 40kDa type 1 transmembrane protein that has been speculated to play a major role in suppressing the adaptive arm of immune systems during particular events such as pregnancy, tissue allografts, autoimmune disease and other disease states such as hepatitis. The binding of PD-L1 to the inhibitory checkpoint molecule PD-1 transmits an inhibitory signal based on interaction with phosphatases (SHP-1 or SHP-2) via Immunoreceptor Tyrosine-Based Switch Motif (ITSM). This reduces the proliferation of antigen-specific T-cells in lymph nodes, while simultaneously reducing apoptosis in regulatory T cells (anti-inflammatory, suppressive T cells) - further mediated by a lower regulation of the gene Bcl-2. Upregulation of PD-L1 on immune cells (especially myeloid cells) can also lead to formation of an immunosuppressive environment in a highly localized manner that also allow the cancer cells to proliferate.

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SKU: 8613900010

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RAKESH MITTAL
San Leandro, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
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Ting
Carnegie, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
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Sai
Whiting, US
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
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Kirk D. Borne
Fort Morgan, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025
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Amazon Customer
Louisville, US
★★★★★ 5
good book for beginners in Python and in simulation
Format: Kindle
Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
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Reviewed in the United States on January 2, 2026

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