The plant hormone abscisic acid (ABA) plays a key role in mediating plant adaptation to stress. It induces stomatal closure to reduce water loss during drought, inhibits cell growth and seed germination to enforce seed dormancy, and promotes bud dormancy and the development of bud scales during winter. ABA is produced in response to decreased soil water availability and other stressors, then translocates to leaves and buds to trigger adaptive responses that prevent water loss and allow plants to survive potentially harmful conditions like drought and winter.
This docx file contains the description of The Plan Growth Regulators. Their types, role in the growth. Effect on different type of regulators on different pants of the plant and different type of the plants..
The 5 main groups of plant hormones
Auxin
Cytokinins
Ethylene
Abscisic Acid
Gibberellins
Brassica rapa, a model plant species for experimentation
Design and begin group GA experiments
Hormones can have effects on the cells that produce them and, after transport, at the target cells or tissues
Hormones can have inhibitory rather than stimulatory effects
5 main groups based on chemical structure
Hormones can have effects on the cells that produce them and, after transport, at the target cells or tissues
Hormones can have inhibitory rather than stimulatory effects
5 main groups based on chemical structure
Hormones can have effects on the cells that produce them and, after transport, at the target cells or tissues
Hormones can have inhibitory rather than stimulatory effects
5 main groups based on chemical structure
This docx file contains the description of The Plan Growth Regulators. Their types, role in the growth. Effect on different type of regulators on different pants of the plant and different type of the plants..
The 5 main groups of plant hormones
Auxin
Cytokinins
Ethylene
Abscisic Acid
Gibberellins
Brassica rapa, a model plant species for experimentation
Design and begin group GA experiments
Hormones can have effects on the cells that produce them and, after transport, at the target cells or tissues
Hormones can have inhibitory rather than stimulatory effects
5 main groups based on chemical structure
Hormones can have effects on the cells that produce them and, after transport, at the target cells or tissues
Hormones can have inhibitory rather than stimulatory effects
5 main groups based on chemical structure
Hormones can have effects on the cells that produce them and, after transport, at the target cells or tissues
Hormones can have inhibitory rather than stimulatory effects
5 main groups based on chemical structure
Metabolism and physiological effects of ABA and their application, introduction to ABA, ABA metabolism, physiological effects of ABA, seed and bud dormancy, seed development and germination, senescence and abscission, flowering, cambium activities, role of water stress, effects of other harmones,
Abscisic acid (ABA) previously called Dormin or
Abscisin mainly because of their regulatory
effect on abscission and dormancy. This
hormone is widespread in higher plants and is
found in many different organs and tissues
(both old and young) of plants. ABA induces
abscission of the leaves of a wide variety of
plants and fruits of some plant species
Physiological response of plants against stress for pg and ug botany..which include types of stresses their effects, salt tolerance etc...by Megha Yasodharan Pg student SN college chempazhanthy
Waterlogging is one of the main abiotic stresses suffered by plants. Inhibition of aerobic respiration during waterlogging limits energy metabolism and restricts growth and a wide range of developmental processes, from seed germination to vegetative growth and further reproductive growth.
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 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.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
(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.
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.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
2. ⦁ Induces stomatal closure, reducing
transpiration to prevent water loss.
⦁ Inhibits fruit ripening
⦁ Responsible for seed dormancy by inhibiting
cell growth – inhibits seed germination
⦁ Inhibits the uptake of Kinetin
⦁ Down regulates enzymes needed for
photosynthesis.
3. Unlike animals, plants cannot flee from
potentially harmful conditions like
⦁ drought
⦁the approach of winter
They must adapt or die.
The plant hormone abscisic acid (ABA) is the
major player in mediating the adaptation of
the plant to stress.
4. ⦁ In preparation for winter, ABA is produced in
terminal buds.This slows plant growth and
directs leaf primordia to develop scales to
protect the dormant buds during the cold
season.
⦁ ABA also inhibits the division of cells in the
vascular cambium, adjusting to cold
conditions in the winter by suspending
primary and secondary growth.
5. ⦁ Abscisic acid is also produced in the roots in
response to decreased soil water potential and
other situations in which the plant may be
under stress.
⦁ ABA then translocates to the leaves, where it
rapidly alters the osmotic potential of
stomatal guard cells, causing them to shrink
and stomata to close.
⦁ The ABA-induced stomatal closure reduces
transpiration thus preventing further water
loss from the leaves in times of low water
availability.
6. ⦁ ABA mediates the conversion of the apical
meristem into a dormant bud. The newly
developing leaves growing above the meristem
become converted into stiff bud scales that wrap
the meristem closely and will protect it from
mechanical damage and drying out during the
winter.
⦁ ABA in the bud also acts to enforce dormancy so
if an unseasonably warm spell occurs before
winter is over, the buds will not sprout
prematurely. Only after a prolonged period of
cold or the lengthening days of spring
(photoperiodism) will bud dormancy be lifted.
7. ⦁ ABA plays a role in seed maturation, at least
in some species, and also enforces a period
of seed dormancy. As we saw for buds, it is
important the seeds not germinate
prematurely during unseasonably mild
conditions prior to the onset of winter or a
dry season.
⦁ ABA in the seed enforces this dormancy. Not
until the seed has been exposed to a
prolonged cold spell and/or sufficient water
to support germination is dormancy lifted.
8. ⦁ ABA also promotes abscission of leaves and
fruits (in contrast to auxin, which inhibits
abscission). It is, in fact, this action that gave
rise to the name abscisic acid.
10. ⦁ ABA — moving up from the roots to the stem
— synergizes with auxin — moving down
from the apical meristem to the stem — in
prevent the development of lateral buds. The
result is inhibition of branching or apical
dominance.
11. ⦁ ABA is the hormone that triggers closing of the stomata
when soil water is insufficient to keep up with
transpiration.
⦁ The mechanism: ABA binds to G-protein-coupled
receptors at the surface of the plasma membrane of the
guard cells as well as to other receptors in the cytosol.
⦁ Receptor activation produces
◦ a rise in pH in the cytosol
◦ transfer of Ca2+ from the vacuole and endoplasmic reticulum to
the cytosol
⦁ These changes cause ion channels in the plasma
−
membrane to open a
2
l
−
lowing th
+
e release of ions (Cl ,
organic [e.g., malate ], and K ) from the cell.
⦁ The loss of these solutes from the cytosol reduces the
osmotic pressure of the cell and thus turgor.
⦁ The stomata close.
12. ⦁ Released during desiccation of the vegetative
tissues and when roots encounter soil
compaction.
⦁ Synthesized in green fruit and seeds at the
beginning of the wintering period
⦁ Mobile within the leaf and can be rapidly
translocated from the roots to the leaves by the
transpiration stream in the xylem.
⦁ Produced in response to environmental stress,
such as heat stress, water stress, salt stress.
⦁ Synthesized in all plant parts, e.g. roots, flowers,
leaves and stems