GPCR will continue to be highly important in clinical medicine because of their large number, wide expression and role in physiologically important responses. Future discoveries will reveal new GPCR drugs, in part because it is relatively easy to screen for pharmacologic agents that access these receptors and stimulate or block receptor-mediated biochemical or physiological responses.
1.WHAT ARE GPCRs
2. CLASSIFICATION OF GPCRs
3. GPCRs SECOND MESSENGERS
4. GPCRs FAMILIES
5. STRUCTURE IF GPCRs
6. DRUG TARGETS OF GPCRs
7. CONCLUSION
8. REFERENCES
9. THANKS
GPCRs are the largest and most diverse group of integral membrane proteins. These proteins are used by cells to convert extracellular signals into intracellular responses and mediate most of our physiological responses to hormones, neurotransmitters as well as responses to vision, olfaction and taste signal. They mediate most of our and environmental stimulants, and so have a great potential as therapeutic targets for a broad spectrum of diseases. At the most basic level, all GPCRS are characterized by the presence of seven membrane-spanning alpha helical segments separated by alternating intracellular and extracellular loop regions. Coupling with G proteins, they are called seven-transmembrane receptors because they pass through the cell membrane seven times.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
1.WHAT ARE GPCRs
2. CLASSIFICATION OF GPCRs
3. GPCRs SECOND MESSENGERS
4. GPCRs FAMILIES
5. STRUCTURE IF GPCRs
6. DRUG TARGETS OF GPCRs
7. CONCLUSION
8. REFERENCES
9. THANKS
GPCRs are the largest and most diverse group of integral membrane proteins. These proteins are used by cells to convert extracellular signals into intracellular responses and mediate most of our physiological responses to hormones, neurotransmitters as well as responses to vision, olfaction and taste signal. They mediate most of our and environmental stimulants, and so have a great potential as therapeutic targets for a broad spectrum of diseases. At the most basic level, all GPCRS are characterized by the presence of seven membrane-spanning alpha helical segments separated by alternating intracellular and extracellular loop regions. Coupling with G proteins, they are called seven-transmembrane receptors because they pass through the cell membrane seven times.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
G-Protein Coupled Receptors and Secondary Messenger Pathways
1. G-Protein Coupled Receptors and Secondary
Messenger Pathways
Presentation By;
Mr. Saikat Polley
M. Pharm 1st Semester
Registration No. 211592320210002 of 2021-22
Roll No. 15920221005
Department of Pharmacology
Calcutta Institute of Pharmaceutical Technology & AHS
Banitabla, uluberia,howrah-711316, West Bengal
2. Contents
Introduction
Structure of GPCR
Signal Transduction by GPCR
Inactivation or Termination of Response
Secondary Messenger cAMP Pathway
Phosphoinositide Signaling Pathway
Disease linked to G-protein Pathways
Conclusion
References
3. Introduction
G proteins, also known as guanine nucleotide-binding proteins, are a family of
proteins that are involved in transmitting signals from a variety of stimuli outside
a cell to its interior. G proteins belong to the larger group of enzymes called GTPases.
Heterotrimeric G proteins were discovered, purified, and characterized by Martin
Rodbell and his colleagues at the National Institutes of Health and Alfred Gilman and
colleagues at the University of Virginia.
G protein-coupled receptors (GPCRs) are so named because they interact with G
proteins. Members of the GPCR superfamily are also referred to as seven-
transmembrane (7TM) receptors because they contain seven transmembrane helices.
Humans express over 800 GPCRs that make up the third largest family of genes in
humans.
Thousands of different GPCRs have been identified in organisms ranging from yeast to
flowering plants and mammals that together regulate an extraordinary spectrum of
cellular processes.
4. GPCRs share a common structural signature
of seven hydrophobic transmembrane (TM)
segments, with an extracellular amino
terminus and an intracellular carboxyl
Terminus
The structure of a GPCR can be divided into
three parts:
1. The extra-cellular region, consisting of
the N terminus and three extracellular
loops (ECLI1-ECL3).
2. The TM region, consisting of seven α
helices(TM1-TM7).
3. The intracellular region, consisting of
three intra-cellular loops (ICL1-ICL3),
an intracellular amphipathic helix
(H8), and the C terminus .
Structure of GPCR
Fig 1: General Structure of GPCR
5. Basic signal transduction cascade
G protein coupled receptors contain
Seven membrane spanning helices.
When bound to their ligand, the receptor
interacts with a trimeric G protein, which
activates an effector, such as adenylyl
cyclase.
The alpha and gamma subunits of the G
protein are linked to the membrane by
lipid groups that are embedded in the
lipid bilayer.
Fig 2: A GPCR and a G-Protein
6. The mechanism of receptor-mediated activation (or
inhibition) of effectors by means of heterotrimeric G
proteins.
The ligand binds to the receptor, altering its
conformation and increasing its affinity for the G
protein to which it binds.
The alpha subunit releases its GDP, which is replaced
by GTP.
The alpha subunit dissociates from the G(beta and
gamma) complex and binds to an effector (in this case
adenylyl cyclase), activating the effector.
Activated adenylyl cyclase produces cAMP.
The GTPase activity of alpha subunit hydrolyzes the
bound GTP, deactivating alpha subunit.
G(alpha) re-associates with G(beta and gamma),
reforming the trimeric G protein, and the effector
ceases its activity.
The receptor has been phosphorylated by a GRK.
The phosphorylated receptor has been bound by an
arrestin molecule, which inhibits the ligand bound
receptor from activating additional G proteins.
The receptor bound to arrestin is likely to be taken up
by endocytosis.
Fig 3: Activation of GPCR
7. Inactivation or Termination of Response
Desensitization, the process that blocks active
receptors from turning on additional G
proteins, takes place in two steps. In the first
step, the cytoplasmic domain of the activated
GPCR is phosphorylated by a specific type of
kinase, called G- protein-coupled receptor
kinase (GRK )
GRKs form a small family of serine-threonine
protein kinases that specifically recognize
activated GPCRs.
Phosphorylation of the GPCR sets the stage
for the second step, which is the binding of
proteins, called arrestins. Arrestins form a
small family of proteins that bind to GPCRs
and compete for binding with heterotrimeric G
proteins.
As a consequence, arrestin binding prevents
the further activation of additional G proteins.
Fig 4: Termination of response
8. Cyclic AMP formation
Secondary Messenger cAMP Pathway
Cyclic AMP formation
usually depends upon the
activation of G-protein-
coupled receptors (GPCRs)
that use heterotrimeric G
proteins to activate the
amplifier adenylyl cyclase
(AC), which is a large
family of isoforms that
differ considerably in both
their cellular distribution
and the way they are
activated. There are a
number of cyclic AMP
signalling effectors such as
protein kinase A. Fig 5: Formation of cyclic AMP
9. Adenylyl Cyclase or AC
Adenylyl cyclase is an integral polyphyletic
protein of the plasma membrane, with its
active site on the cytosolic face.
The enzyme synthesizes cyclic adenosine
monophosphate or cyclic AMP from adenosine
triphosphate (ATP). Cyclic AMP functions as a
second messenger
The best known class of AC is class III.
Protein Kinase
Protein kinase, is an kinase type of enzyme that
modifying other proteins by adding phosphate
group to them (phosphorylation).
PKA is composed of two regulatory (R)
subunits and two catalytic (C) subunits.
There is two types of PKA, protein kinase A
(PKA) I is found mainly free in the cytoplasm
and has a high affinity for cyclic AMP, whereas
protein kinase A (PKA) II has a much more
precise location by being coupled to the A-
kinase-anchoring proteins (AKAPs).
Fig 6: Structure of adenylyl cyclase
Fig 7: Protein kinase A activation
10. Phosphoinositide Signaling Pathway
Phospholipids of cell membranes are converted into
second messengers by a variety of enzymes that are
regulated in response to extracellular signals.
Phospholipases are enzymes that hydrolyze specific
ester bonds that connect the different building blocks
that make up a phospholipids molecule.
Phospholipase C( PLC), which splits the
phosphorylated head group from the diacylglycerol.
Fig 9: IP3-DAG Pathway
Fig 8: Structure of a phospholipid
11. Phospholipase C
When acetylcholine binds to a
smooth muscle cell, or an antigen
binds to a mast cell, the bound
receptor activates a heterotrimeric
G protein, which, in turn, activates
the effector phosphatidylinositol-
specific phospholipase C-β (PLC
β) (step 4).
PLC β is situated at the inner
surface of the membrane, bound
there by the interaction between its
PH domain and a phosphoinositide
embedded in the bilayer.
PLC β catalyzes a reaction that
splits PI(4, 5)P2 into two
molecules, inositol 1,4,5-
trisphosphate (IP3 ) and
diacylglycerol (DAG) (step 5) both
of which play important roles as
second messengers in cell
signaling.
Fig 10: Activation of phospolipase C
12. Diacylglycerol (DAG)/protein kinase C (PKC) signalling
The diacylglycerol (DAG) that is formed when PtdIns4,5P2 is hydrolysed by
phospholipase C (PLC) remains within the plane of the membrane where it acts as a lipid
messenger to stimulate some members of the protein kinase C (PKC) family.
The protein kinase C family has been divided into three subgroups.
• Conventional PKCs (cPKCs: α, β1, β2 and γ) contain C1 and C2 domains
• Novel PKCs (nPKCs: δ, ε, η and θ) contain a C1 and a C2-like domain
• Atypical PKCs (aPKCs: ζ , ι and λ) contain a short C1 domain the regulation of
specific cellular processes.
Fig: Protein Kinase C family
13. Inositol 1,4,5-trisphosphate (InsP3)/Ca2 + signalling
Inositol 1,4,5-trisphosphate
receptor (IP3R) is a widely
expressed channel for
calcium stores.
After being activated by
inositol 1,4,5-trisphosphate
(IP3) and calcium signalling
at a lower concentration,
IP3R can regulate the
release of Ca2+ from stores
into cytoplasm, and
eventually trigger
downstream events
Fig: IP3 signalling
15. Conclusion
The GPCR family includes receptors that are responsible for the recognition of light, taste,
odour, hormones, pain, neurotransmitters and many other things. Or in other words, most
physiological processes are based on GPCR signaling. This is why the GPCR family is of
huge pharmaceutical importance.
Nearly 40% of the drugs approved for marketing by the FDA target GPCRs
800-1,000 different GPCRs and the drugs that are marketed target less than 50 GPCRs
GPCR will continue to be highly important in clinical medicine because of their large
number, wide expression and role in physiologically important responses
Future discoveries will reveal new GPCR drugs, in part because it is relatively easy to
screen for pharmacologic agents that access these receptors and stimulate or block receptor-
mediated biochemical or physiological responses
16. References
1. Fredriksson R, Lagerstorm M.C et al. The G protein-coupled receptors in the human
genome from five main families. Phylogenetic analysis, Mol. Pharmacol. 2003; 63:
1256-72.
2. Rang HP, Dale MM, Ritter JM, Flower RJ. PHARMACOLOGY. Churchill
livingstone elsevier. 2008; 6: 35-40.
3. Arac D, Boucard A, Bollinger M.F. et al. A novel evolutionary conserved domain
of cell-adhesion GPCRs mediated auto-proteolysis. The EMBO Journal. 2012; 31:
1364-78.
4. Karp Gerhald. CELL BIOLOGY. International student version. 2014; 7: 622-34.
5. Costanzi S. Homology Modelling of Class A G Protein-Coupled Receptors. Methods
in Molecular Biology. 2012; 857: 259-79.
6. AbdAlla, S., Lother, H., el Missiry, A., Langer, A., Sergeev, P., el Faramawy, Y., et al.
Angiotensin II AT2 receptor oligomers mediate G-protein dysfunction in an animal
model of Alzheimer disease. J. Biol. Chem. 2009; 284: 6554–65.