The document summarizes the Mesozoic Era stratigraphy in three periods: Triassic, Jurassic, and Cretaceous. It describes the lithology and fossil content of formations from these periods found in various regions of India, including the Himalayas, Kashmir, Spiti, and the Indian peninsula. Key points include the marine deposits of the Triassic in Spiti and Kashmir characterized by limestones and shales, and the Jurassic rock units of Spiti, Kashmir, and Kutch divided into named members.
Boundary problems between :-
Precambrian/Cambrian
Permian/Triassic
Cretaceous/Tertiary
Neogene/Quaternary
Stratigraphic boundaries are determined by one or more of geological events such as volcanic activity, sedimentation, tectonism, paleo-environments & evolution of life.
Faunal records have played major role in determining the boundaries of the Phanerozoic units.
The other geological events are dated on the evidence of fossil records.
Boundary problems between :-
Precambrian/Cambrian
Permian/Triassic
Cretaceous/Tertiary
Neogene/Quaternary
Stratigraphic boundaries are determined by one or more of geological events such as volcanic activity, sedimentation, tectonism, paleo-environments & evolution of life.
Faunal records have played major role in determining the boundaries of the Phanerozoic units.
The other geological events are dated on the evidence of fossil records.
Metallogenic Epoch and Province
Metallogenetic Epochs
Metallogenetic epochs, as defined above, are specific periods characterised by formation of large number of mineral deposits. It does not mean that all the mineral deposits formed during a definite metallogenetic epochs. In India the chief metallogenetic epochs were:
1. Precambrian
2. Late Palaeozoic
3. Late Mesozoic to Early Tertiary
Kutch is an East-west Oriented pericraton Rift basin Situated between Nagar Parkar Fault in North and Kathiawar Uplift in South.
Here we will discuss Geology and its Sequence Stratigraphy.
Metallogenic Epoch and Province
Metallogenetic Epochs
Metallogenetic epochs, as defined above, are specific periods characterised by formation of large number of mineral deposits. It does not mean that all the mineral deposits formed during a definite metallogenetic epochs. In India the chief metallogenetic epochs were:
1. Precambrian
2. Late Palaeozoic
3. Late Mesozoic to Early Tertiary
Kutch is an East-west Oriented pericraton Rift basin Situated between Nagar Parkar Fault in North and Kathiawar Uplift in South.
Here we will discuss Geology and its Sequence Stratigraphy.
Kutch Basin Sequence Stratigraphy.
Kutch is an east-west oriented pericratonic basin comprising of rocks ranging from Mesozoic to Cenozoic.
Kutch Basin experienced various phases of marine Transgression and Regression throughout its Geological History.
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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.
(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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
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.
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 .
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.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
2. Introduction :
• It began at 230mya & closed at 65 mya
• Three periods : Triassic , Jurassic , Cretaceous
• At end of palaeozoic era,sometimes in Upper
carboniferous,mount building activityof semi global
scale
• Lot of changes in distributions of land and sea in
india,south america & africa, Australia,etc
• Ancient continents,Early to late mesozoic were mostly
of shallow water and lacustarine type
3. • Marked difference in fossil fauna of two formations.
• Occur both in extra penninsula & peninsula region.
• At same period,Tethys sea to recieve sediments for
part of triassic & jurassic eras.
• End of Cretaceous, tethys migrates to indian sea.
• It results of tectonic changes, The record of mesozoic
group under two groups
* Marine deposit in extra peninsula
*Shallow deposit in peninsula india -the gondwana.
4.
5. • At the beginning of the mesozoic the continents
were assembled into a super continents.
• Pangea formed in the late palaeozoic by the
collision and joining of the continents to form a
single landmass surrounded by a wast ocean.
• In equatorial, between africa & europe , between
india & asia, that empayment is called as tethys
•
Pangaea
6. Pangaea began to breakup in the mesozoic
The northern continentswere called laurasia & the
southern continent were called as goundwana.
As north America & europe separated they were called
laurentia & baltica.
Breakup of pangaea
10. Triassic System :
Formations of marine origin aremainly confined to
himalayan region,perticularly to kumaon
,spiti,kashmir & salt range.
Occur in peninsula region are fluviatile origin & part
of gondwana super group.
11. Triassic of spiti :
Basal system of meso group & permian rocks in salt
range & kashmir.
Lithology :it consist chiefly limestone and shale
Quartizites are found upper zone of system.
Classification : lower ; middle ; upper triassic
Corresponding to bunter,muschelkalk & divison of
european triassic system
13. Triassic of kashmir :
Formation of kashmir area overlies the zewan beds of
permian age.
Consist of thick successionof limestone and shales
Yield rich triassic fauna.
It divied into three divisions : lower ; middle ; upper
triassic rocks
Lithology :blue color limestone in lower triassic.
Shale & sandstone in middle triassic.
Massive limestones are predominant rock types.
15. • Life : spiti,kashmir Triassic have also yeild a rich
assemblage of ammonite fauna.
• No.of lamellibranches & brachiopoda
fossils.zonal classification is based on important
generic type of ammonite fossils.
• Among the
lamellibranches,pseudomnotis,modiola,anomia.
16. Salt range :
• In the salt range proper, lower triassic well
developed, though on trans indus side, complete
Triassic sequence has been studied.
• Salt are also known as ceratite beds ; because of
occurrence of fossils in good abundance.
• Lithology : broadly similar to that kashmir & spiti
flaggy limestone predominant with intercalation of
shales & sandstones
17. Attock district:
The Attock Slates are overlain here directly by
the Kioto (MEGALODON) Limestone which is partly
Upper Triassic and partly Liassic. Good sections are
seen in the Kala Chitta
Burma :
The AxIAL SYSTEM in the Arakan Yomas includes
Triassic rocks in its lower portion, with Halobia
lommeli and Monotis sp.
18. Jurassic System :
• Jurassic system overlies Triassic System rocks in
the standard scale and in well represented in
Indian Stratigraphy both in extra-peninsular and
Peninsular India.
• In the extra-peninsula, the Jurassic rocks of
marine facies conformably overlie in the Triassic
rocks at many places such as in Spiti, Kashmir
and Salt Range.
19. • In Peninsular India, development of coastal
marine and estuarine facies of Jurassic rocks has
been studied in Rajashthan, Kutchh and east
coast of the Peninsula.
20. Jurassic of spiti :
• Rocks of Jurassic age succeed the Upper Triassic
formations in Spiti
• The Kioto Limestones and an upper Group chiefly
composed of Shales and hence known as Spiti
shales
• It is separated by an unconformity at the base
from so called Sulcacutus beds.
21. • The Belemnite beds are made up of brown shales
of earthy texture containing calcareous
concretions
• The Chidamu Beds overlie the Belembite beds
and consist of black shales with iron oxide
partings.
• The Lochambal beds are similar to Chidamu beds
in their lithology
• Spiti shales distinguish in three stages -
Belemnite beds, Chidamu beds and Lochambal
beds
22. Jurassic of kashmir :
Jurassic rocks have been traced in Ladakh and Banihal
areas in Kashmir.
At Ladakh, Jurassic formations comprising chiefly of
Limestones and Shales
In Banihal, they occur on the north side of Banihal
pass within a synclinal sequence of Triassic rocks.
23. Salt range :
• Ceratite beds of Triassic age are overlain by Jurassic
rocks of middle to upper Jurassic age in Salt Range.
• Lithologically these comprise sandstones, shales
and Limestones, the latter being oolitic.
• Fossils found from Upper Jurassic include Pecten,
Lima(Lamellibranchs), Ammonites and some
Belemnites.
• Middle Jurassic formations are traversed by thin
coal seams at a few places.
24. Jurassic of kutch :
Jurassic rocks are regarded as the oldest and most
important stratigraphical formations in Kutchh.
The System has been divided into four series as
follows:
1) Patcham series
2) Chari series
3) Katrol series
4) Umia series
26. PATCHAM SERIES :
It is made up mostly Limestones which are Shelly in
texture.
CHARI SERIES :
The series has yielded fossils like Corbula lyrata and
species of Trigonia belonging to Peldcypod group.
It is a complex series distinguished in to five
prominent stages that are Macrocephalus stage,
Disdematus zone, Rehmani zone, Ancep beds and
Dhosa oolites.
27. Rich assemblages of Jurassic fossils such as
Macrocephalites, Indocephalites, Rieneckeia,
Perisphinctes, Mayaites and Dhosaites.
Age from Callovain to Lower Oxfordian in Standard
Stratigraphic Scale.
KATROL SERIES :
It is made up of sandstones and Shales.
The series has yielded Fossils of Epimayaites sp,
Prosophinctes sp of upoer Oxfordian age.
28. UMIA SERIES :
This Overlies the Katrol series and made of Shales,
sandstones and conglomerates.
This series divided in to three stages:
Umia stage
Ukra stage
Bhuj stage
29. The formations have yielded Fossils of Trigonia,
Australiceras, Ptilophyllum.
30. *Cretaceous is the most widespread and
lithologically most complex system of indian
stratigraphy.
*This system includes rock fragments formed under
entirely different conditions during the same time
span.
Cretaceous system :
31. Such As ;
* Marine rocks of northern Himalayas and
coromendel coast.
*Fluviatite rocks of Madhya Pradesh.
*Igneous rocks (volcanic and plutonic) of Deccan
traps.
"Heterogeneous constitution of Cretaceous"
32. 1) The coromandal coast :
Marine facies of Cretaceous
system :
*Coromandal cretaceous rocks are upper cretaceous
age,and these are mostly throughly studied formation
of southern India. Because of its palaeontological
importance.
* These rocks cover large area starting from
coromandal coast and extending into the valley of
cauvery.
34. Cretaceous of narmada valley :
* Bagh beds of Narbada Valley provide a best
example for marine facies of Cretaceous rocks in
Peninsular india.
*Bagh area is distinguished into
#Lower series
#upper series.
35. Lower bagh ;
*Lower bagh beda are called Nimar sandstones which
rest over basal conglomerate.
*These sandstone are excellent quality building
stone and millstones.
UPPER BAGH ;
* Upper Bagh beds are made of three layers of rocks.
# Nodular clay limestone
# Deola Marls
# Coralline limestone.
36. Marine Cretaceous of extra
penninsula :
In extra peninsular,marine cretaceous rocks are
developed at spiti, Northern hazarasind and
Baluchistan
In spiti, Rocks of Cretaceous age are divided into
two series ;
#Chikkim series.
#Guimal series.
37. • Chikkim series is primarily made up of limestones.
• Whereas,.
• Guimal series is made up of sandstone and
quartzites overlying the spiti shales of Jurassic
age.
• Flysch formation totally unfossilferous both the
guimal & chikkim series have yeild rich
Cretaceous fauna
• And also developed in kumon and tibet part of
Himalayas.