The document discusses humoral immunity and the complement system. It defines key terms and describes the three stages of humoral immunity: B cell maturation in the bone marrow, activation of B cells by antigens, and differentiation of activated B cells into plasma cells and memory B cells. It also explains the classical, alternative, and lectin pathways of complement system activation and how they converge in the formation of the membrane attack complex. Finally, it outlines the biological activities and regulation of the complement system.
B Cell Receptor & Antibody Production-Dr C R MeeraMeera C R
Antibody production is the function of B lymphocytes. These slides describe the structure of B cell receptor and steps involved in antibody production by B lymphocytes
The complement system is a part of the immune system that helps or complements the ability of antibodies and phagocytic cells to clear pathogens from an organism. It is part of the innate immune system, which is not adaptable and does not change over the course of an individual's lifetime.
consists of three pathways: 1. alternative
2. classical
3. lectin pathway
This presentation describes the stages of normal development of B and T cells in human. Various cytokines important for these development and different antigen markers expressed in different stages of development are also described. Mechanisms of antibody diversity and mechanisms to prevent autoimmunity are also explained.
B Cell Receptor & Antibody Production-Dr C R MeeraMeera C R
Antibody production is the function of B lymphocytes. These slides describe the structure of B cell receptor and steps involved in antibody production by B lymphocytes
The complement system is a part of the immune system that helps or complements the ability of antibodies and phagocytic cells to clear pathogens from an organism. It is part of the innate immune system, which is not adaptable and does not change over the course of an individual's lifetime.
consists of three pathways: 1. alternative
2. classical
3. lectin pathway
This presentation describes the stages of normal development of B and T cells in human. Various cytokines important for these development and different antigen markers expressed in different stages of development are also described. Mechanisms of antibody diversity and mechanisms to prevent autoimmunity are also explained.
This presentation describes the Fish Complement system and different types of pathways involved and the mechanism behind the regulation of complement proteins. It gives a basic and a detailed explanation regarding the topic.
Complement System comprises of Complement proteins that function to augment the antibodies in killing bacteria by the formation of Membrane Attack Complex.
This ppt describes the different pathways of activation complement proteins and MAC formation.
This presentation is organized with the help of other presentations, text book of immunology and some internet resources for better understanding of students.
(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.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
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.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Richard's entangled aventures in wonderlandRichard 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.
2. Basic terms
Immunology - study of structure and function of the immune system
Immunity - resistance of a host to pathogens and their toxic effects
Immune system - cells, tissues, and molecules that mediate resistance to
infections
Immune response - collective and coordinated response to the introduction of
foreign substances in an individual mediated by the cells and molecules of the
immune system
3. Types of immunity
1. Innate (non-adaptive)
first line of immune response
relies on mechanisms that exist before infection
2. Acquired (adaptive)
Second line of response (if innate fails)
relies on mechanisms that adapt after infection
handled by T- and B- lymphocytes
one cell determines one antigenic determinant
4. Adaptive immunity: mechanisms
Cell-mediated immune response (CMIR)
T-lymphocytes
eliminate intracellular microbes that survive within phagocytes or other infected cells
Humoral immune response (HIR)
B-lymphocytes
mediated by antibodies
eliminate extra-cellular
microbes and their toxins
5. Humoral immunity
The humoral immunity is mediated by antibody molecules that are secreted by
plasma cells.
Antibodies functions as effector of the humoral response by binding to antigen
and facilitating its elimination.
It can be divided into three broad stages :
1) generation of mature, immunocompetent B cells k/a maturation
2) activation of B cells upon interaction with antigen
3) differentiation of activated B cells into plasma cells and memory B cells
9. B cell development begins as lymphoid precursor cells differentiate into B-lineage
cell – the progenitor B cell (pro-B cell) .
Precursor Bcells (pre B cells) requires the microenvironment provided by the bone
marrow stromal cells.
The stromal cells plays two important roles : they interact directly with pro B and
pre B cells ; and they secrete various cytokines mainly IL-7 that support the
developmental process.
The interaction b/w receptor c-kit and surface molecule SCF activates the tyrosine
kinase activity of c-Kit , and the pro B cell begins to divide and differentiate into a
pre B cell.
Then IL-7 derives maturation process.
11. Self reactive B cells are selected
against in bone marrow
Only about 10 % cells are recruited into the circulating B cell pool , rest 90% cells
die each day without ever leaving the bone marrow.
Some of this loss is attributable to negative selection and subsequent elimination
of immature B cells that express auto-antibodies against self antigens in the bone
marrow.
Later Nemazee and Burki showed that negative selection does not always result in
deletion . Instead , maturation of the self reactive cells is arrested while the B cell
‘edits’ the light chain gene of its receptor.
As a result, cells will begin to express an ‘edited’ mIgM with a different light
chain and can escape negative selection.
12. B cell activation and proliferation
Thymus independent and Thymus dependent
antigen
13. Mechanism
TI-1 antigens
LPS acts as TI-1 antigen
LPS interacts with two different receptors on B cell . One is Toll – like receptor TLR4 and
other is B cell receptor BCR .
Only a B cell population bears BCRs specific for LPS , but all of them have TLR4. Those B
cells with BCRs that recognize LPS are stimulated to divide and secrete anti – LPS antibody ;
and other B cells are induced to divide and differentiate into antibody – secreting cells by
the interaction of LPS with TLR4.
Nude mice experiment demonstrates that TI-1 antigens are truly T cell independent .
14. TI-2 antigens
They are highly repetitious molecules such as polymeric proteins or bacterial cell
wall polysaccharides with repeating units.
Activates B cells by extensively cross linking the mIg receptor.
Points of differences
i) mitogens
ii) require cytokines derived from TH cells .
iii) activate mature B cells and inactivate immature B cells
15. Two types of signal drive B cells into and through
the cell cycle
• Naïve B cells are non dividing in G0
stage of cell cycle.
• Activation drives these cells to G1 to
S phase , requires two sets of signals
: signal 1 and signal 2
• Once the B cell has been stimulated
by the signals , results in full
activation, leading to cell division
and differentiation into memory cells
and plasma cells.
16. Ig-α and Ig-β heterodimers
All isotypes of mIg have very short cytoplasmic tails .
mIgM & mIgD on B cell extend into cytoplasm by only 3 amino acids
mIg A – 14aa
mIg G & mIgE -28aa
Discovery – mIg is associated with the disulfide – linked heterodimer Ig-α/Ig-β , forming the
BCR. Thus BCR is functionally divided into ligand binding Ig molecule and the signal
transducing Ig-α/Ig-β heterodimer.
Ig-α chain has long cytoplasmic tail – 61aa & Ig-β has 48aa . They also contain 18 –residue
motif termed as immunoreceptor tyrosine –based activation motif (ITAM) .
Interactions with cytoplasmic tails of heterodimers transduce the stimulus produced by
cross – linking of mIg molecules into an effective intracellular signal.
18. B cell signalling is initiated by antigen binding and
induces many signal transduction pathways
19. PKC- protein kinase C
GEF – guanine nucleotide exchange
factor
IP3 – inositol 1,4,5 – triphosphate
DAG – diacyl glycerol
PLCγ2 – phospholipase Cγ2
Btk – bruton’s tyrosine kinase
BLNK – B cell linker protein
Protein tyrosine kinases – src kinase,
Lyn, Blk, Fyn
20. The humoral response
• Depends on naïve lymphocytes and memory
lymphocytes .
• Primary response characterised by production of
plasma cells and memory B cells.
• Antibody concentration in serum depends on nature
of antigen , the route of antigen administration ,
species or strain being immunized and the presence
or absence of adjuvants.
• During lag phase , naïve B cells undergo clonal
selection , expansion and differentiation.
• Duration of lag phase varies with the nature of
antigen.
• Greater magnitude of secondary response – the
population of memory cells specific for a given
antigen is considerably larger than the population of
naïve cells .
• Affinity maturation and class switching are also
responsible.
21.
22. THE COMPLEMENT SYSTEM
Paul Ehrlich coined the term ‘complement’ , defining it as “ the activity of blood serum
that completes the action of antibody” .
Lytic action of complement is a result of interactions of a complex group of proteins.
Plays a key role in both innate and adaptive immunity .
Complement is a system of plasma proteins that can be activated directly by
pathogens or indirectly by pathogen-bound antibody, leading to a cascade of
reactions that occurs on the surface of pathogens and generates active components
with various effector functions.
Complement has 3 pathways : the alternative , classical and lectin pathways and the
final step leads to the formation of membrane – attack complex (MAC) .
25. Alternative pathway
• Antibody independent pathway , therefore the
component of innate immune system.
• Initiated by cell surface constituents that are
foreign to host , like bacterial cell walls
• C3 contains an unstable thioester bond ,
subjected to slow spontaneous hydrolysis to
yield C3a and C3b .
• The active C3bBb generated can activate
unhydrolyzed C3 to produce more C3b and
forms active C3bBbBb.
26. Lectin pathway
Originates when host protein binds microbial surfaces .
It activates complement which binds to mannose
residues .
Antibody independent but uses proteins of
classical pathway .
MASP-1 and MASP-2 binds to MBL , causes cleavage
and activation of C4 and C2 and finally forms
C5 convertase .
27. Pathways converge at MAC
• This complex forms a large channel
through membrane of the target
cell , enabling transport of small
molecules and ions .
• The C5b component becomes
inactive until stabilised by binding
of C6.
• Upto this point , all reactions takes
place on the hydrophilic surfaces of
membranes but as C5b6 binds to C7
, complex undergoes structural
transition that exposes hydrophobic
regions .
• Final step is polymerization of C9 , a
perforin –like molecule and its
binding to C5b678 complex .
29. Biological activities of complement
activation
OPSONISATION
In cells such as neutrophils , which performs phagocytosis , opsonins coat bacteria and
facilitate their removal .
C3b accounts for most of the complement opsonic activity .
CELL LYSIS
Complete complement activation leads to cell lysis .
Typical targets include bacteria and enveloped viruses .
Host erythrocytes , platelets and lymphocytes may also become victims.
30. CELL RECRUITMENT AND ACTIVATION
Role in clinical syndrome anaphylaxis .
Low – molecular weight fragments C4a, C3a and C5a are known as anaphylatoxins .
They activate mast cells and basophils .
IMMUNE CLEARANCE
Immune complexes of antibody – antigen continuously forming in circulation which
infections .
They can become insoluble and fixed in tissues .
Covalent binding of C3b to antibody in a complex inhibits lattice formation and maintains
solubility , deposits them in liver and spleen where they are released and taken up by
macrophages.