Plasma proteins play important roles in the body such as being diagnostic biomarkers and supporting cell growth. Analysis identified several plasma proteins encoded by the X chromosome including APXL protein and immunoglobulin binding protein 1. Most of these proteins have few isoforms and around 42% show single nucleotide polymorphisms, suggesting a risk of mutations. Post-translational modifications were limited to phosphorylation and the subcellular localization of many remains unknown, though some were found in unexpected areas like the nucleus.
Lipoprotein metabolism - (transport of lipids in the Blood)Ashok Katta
This presentation explains metabolism of lipoproteins (Chylomicron, VLDL, LDL, HDL) in very simple way. The presentation contains lots of animation to explain metabolism of individual lipoproteins.
Lipoprotein metabolism - (transport of lipids in the Blood)Ashok Katta
This presentation explains metabolism of lipoproteins (Chylomicron, VLDL, LDL, HDL) in very simple way. The presentation contains lots of animation to explain metabolism of individual lipoproteins.
This is a detailed PPT of Mucopolysaccharide for MBBS students.
PPT is fully animated!
To save your precious time i have included link of Canva Template which you can easily customise as per your wish.
Carbohydrate
Polysaccharide
Homopolysaccarides
Different between Homopolysaccharides and Heteropolysaccharides
Example of Homopolysaccharides-
I) Starch
II) Glycogen
III) Cellulose
IV) Chitin
Application of Homopolysaccharides
Conclusion
reference
Any of a large group of compound (including sugar, starch and cellulose) which contain carbon, hydrogen, oxygen occur in food and living tissue can be and broken down to release energy in the body.
They are broadly classified into three classes based on the number of sugar unit:-
Monosaccharide
Oligosaccharide
Polysaccharide
This is a detailed PPT of Mucopolysaccharide for MBBS students.
PPT is fully animated!
To save your precious time i have included link of Canva Template which you can easily customise as per your wish.
Carbohydrate
Polysaccharide
Homopolysaccarides
Different between Homopolysaccharides and Heteropolysaccharides
Example of Homopolysaccharides-
I) Starch
II) Glycogen
III) Cellulose
IV) Chitin
Application of Homopolysaccharides
Conclusion
reference
Any of a large group of compound (including sugar, starch and cellulose) which contain carbon, hydrogen, oxygen occur in food and living tissue can be and broken down to release energy in the body.
They are broadly classified into three classes based on the number of sugar unit:-
Monosaccharide
Oligosaccharide
Polysaccharide
Plasma proteins
Types of plasma proteins
Compositions of plasma proteins
Synthesis of plasma proteins
Separation Methods of plasma
proteins
Properties of Plasma proteins
Function of plasma proteins
Clinical Note on plasma proteins
It is a brief review on blood and its cellular components. The ppt contains knowledge about types of blood, blood coagulation pathway and disorders of blood.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
3. Importance of plasma proteins 1. From ancient days we are using Blood as a diagnostic sample. Where we really examine the protein present in the plasma fluid. The act as a important diagnostic sample. 2. The protein present in the blood can also be called as Serum Protein. Animal cell are grown in GMEM media which contain 20% of serum content. It took 9 years to develop a serum free media for animal cell culture. Still the growth of cells in serum free media is not comparable with Serum containing media. They to need 5% of serum for the proper growth of cells. Serum free media should also need 5% of serum. Hence we cannot call it as a defined media. This indirectly means that complete composition of serum is not known yet. many hypothetical protein is also found in serum whose function is not known. Hence its very important to study the plasma protein function and understanding of its genetic function.
8. Plasma fluid : Plasma Fluid contains 90% of water 7% of blood protein ( fibrinogen, albumin, globulin etc) 2% of nutrients (sugar, amino acid, lipids etc) Hormones (erythropoietin, insulin etc) Electrolyte (Na+, k+, Ca+ etc)
9.
10. Auxiliary Transport Cell adhesion activity DNA binding DNA Repair RNA binding Transcription factor Activity Visualizing of Plasma protein functioning
11. Genomic analysis of plasma protein : Plasma protein genome is taken from plasmaproteomdatabase.org, which is of course created and maintain by IOB and PANDAY Lab. Best part of this website is we can download the entire databank as a XML format. Plasma protein which are express in X-chromosome is filtered with the help of Microsoft EXCEL. These genes where further analyzed as mention in the flow chart
12. Plasma protein database www.ppd.org Plasma protein coded By X-chromosome gene Is filtered Gene expression Analysis SNP Analysis PTM Analysis Ectoplic Localization Work flow chart
13. Plasma proteins encoded in X-Chromosome: The plasma protein as declared by Human Protein organization (HuPO) which Are being encoded by X-Chromosome APXL protein Nucleosome assembly protein 1 like 3 Immunoglobulin binding protein 1 Melanoma associated antigen B4 Sushi repeat containing protein SRPX Plexin B3 G-antigen family D2 MAGEA ii Praline rice gamma carboxy glutamic acid protein 1 Adlican DKFZP564B147 protein DOCk ii Hypothetical protein FLJ11362 FLJ12525 Hypothetical protein FLJ12969 FLJ22965 FLJ33516 JM II protein JM5 protein Hypothetical protein KIAA1318 Leucine rich protein & calponin homology CH domain containing 2 WD repeat domain 40B Melanoma antigen family C3 7CEAL8 protein NF Kappa B activating protein Paraneoplastic antigen MA3 Paraneoplastic antigen like5 UTP u3 small nucleolar ribonucleoprotein Homology A Hypothetical protein FLJ32867 Plexin-A3 Dysotropin related protein2
14. Isoform analysis : Complete isoform studies shows that there is not much isoform found in plasma protein encoded by X-chromosome Only few protein 4-5% has 4-5 isoform About 20-22% of protein have 1-2 isoform
15. SNP analysis: 42% of protein shows SNP where as remaining 58% doesn’t show any SNPs. This highlights the possibility of occurrence of mutation in this region of X-chromosome. Mutation may let to the serious disorder. Hence this is consider as highly disease susceptible region.
16. PTM Analysi s : Only 6% of protein undergoes post-translation modification. The only type of post translation modification found in these protein was phosphorylation. They were no indication of any proteolytic cleavage.
17. Ectopic Localization : The ectopic localization of about 62% protein were still not known. 10% of protein were found in plasma membrane. The most significant part of this analysis is about 17% were found to be located at nucleus and cytoplasm which is quite unusual hence there is a deviation from their normal localization.
18. Conclusion: Plasma protein encoded by x-chromosome shows very less number of isoform which is very common in other proteins. They show very less post translation modification rate. And the only post translation modification they have shown is phosporylation. Where as glycosylation is very common in other protein. Non of the protein is cleaved with protolytic enzyme. This indirectly means no two protein fragment is coded by the single gene sequence. Plasma protein which are generally known to be present in blood is also present in nucleolus and cytoplasm at considerable amount (17%).