The document summarizes the history and key concepts of cell theory. It describes how early microscopists like Hooke, van Leeuwenhoek, and Brown discovered key cell structures and components. In 1838, Schleiden concluded that plants are made of cells, and in 1839, Schwann concluded the same for animals, laying the foundations for cell theory. Virchow later established that cells only arise from pre-existing cells. The modern cell theory states that all living things are made of cells, cells are the basic unit of life, and new cells arise from existing cells. The document also discusses cell size, shape, types (prokaryotic vs. eukaryotic), and some of the
The word cell is derived from the Latin word “cellula” which means “a little room”
It was the British botanist Robert Hooke who, in 1664, while examining a slice of bottle cork under a microscope, found its structure resembling the box-like living quarters of the monks in a monastery, and coined the word “cells”
The word cell is derived from the Latin word “cellula” which means “a little room”
It was the British botanist Robert Hooke who, in 1664, while examining a slice of bottle cork under a microscope, found its structure resembling the box-like living quarters of the monks in a monastery, and coined the word “cells”
Most relevant information about the cell, its discovery, types and various kinds of organelles and their function. it also focus on how molecules are transported across the cell membrane.
2018/2019
Cell The structural and functional unit of life. A lesson for std VIII Biology AP State Cell Diversity Types of cells Microscope structure, cell organelle differences of plant and animal cells prokaryotic and eukaryotic cells cell theory, scientists worked for invention of cell
Most relevant information about the cell, its discovery, types and various kinds of organelles and their function. it also focus on how molecules are transported across the cell membrane.
2018/2019
Cell The structural and functional unit of life. A lesson for std VIII Biology AP State Cell Diversity Types of cells Microscope structure, cell organelle differences of plant and animal cells prokaryotic and eukaryotic cells cell theory, scientists worked for invention of cell
In the realm of biology, understanding the cell is akin to unlocking the secrets of life itself. The Class 11 Biology curriculum introduces students to the fascinating world of cells, encapsulating the intricate processes that sustain living organisms. The chapter aptly titled "Cell: The Unit of Life" serves as a foundational cornerstone, laying the groundwork for a comprehensive understanding of biology and the complexity of life.
Cell as basic unit of life ppt 88 slidesICHHA PURAK
This Power point presentation describes Cell as basic unit of life. The slides provide information about Discovery of cell,cell theory,number,size,shape and cell types .Differentiates prokaryotic and eukaryotic cell types and point out major differences in plant and animal cell and also about structure and function of cell organelles
Autoimmune disease HEMOLYTIC ANEMIA AND DIABETESArchanaSoni3
An autoimmune disease is a condition in which your immune system mistakenly attacks your body.
The immune system normally guards against germs like bacteria and viruses. When it senses these foreign invaders, it sends out an army of fighter cells to attack them.
Normally, the immune system can tell the difference between foreign cells and your own cells.
In an autoimmune disease, the immune system mistakes part of your body — like your joints or skin — as foreign. It releases proteins called autoantibodies that attack healthy cells.
Some autoimmune diseases target only one organ. Type 1 diabetes damages the pancreas. Other diseases, like lupus, affect the whole body.
endocytosis and exocytosis is a procss of cell eating and drinnking. it is a mazor tool for self defence to an individual cell. there are some molecular mechanism for this process described in given notes.
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 .
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.
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.
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.
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.
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.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
(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.
4. 1827-33 - Robert Brown
-noticed that pollen grains in water jiggled around
called “Brownian motion”
-discovered the nucleus
Nucleus
Human Cheek Cell
5. 1838 - Matthias Schleiden
A botanist who concluded that all plants are made of cells.
Typical Plant Cell
6. 1839 - Theodor Schwann
A zoologist who concluded that all animals
are made of cells.
Nerve Cells
7. 1855 - Rudolph Virchow
A physician who did
research on cancer cells
and concluded
“Omnis cellula e cellula”.
“All cells are from other
pre-existing cells.”
8. Cell theory
• Formally established by
Theodor Schleider and
Matthias Schwann in 1839, cell
theory (or cell doctrine) is the
most basic tenet underlying
the field of biology.
• Cell Theory is one of the basic
principles of biology. Credit for
the formulation of this theory is
given to German scientists
Theodor Schwann, Matthias
Schleiden, and Rudolph
Virchow.
9. The Cell Theory
The Cell Theory states:
•All living organisms are composed of cells. They may be
unicellular or multicellular.
•The cell is the basic unit of life.
•Cells arise from pre-existing cells. (They are not derived
from spontaneous generation.)
The modern version of the Cell Theory includes the ideas that:
•Energy flow occurs within cells.
•Heredity information (DNA) is passed on from cell to cell.
•All cells have the same basic chemical composition.
10.
11. Cells are Diverse…
Cell Size and Shape
•The shapes of cells are quite
varied with some, such as
neurons, being longer than
they are wide and others such
as erythrocytes (red blood
cells) being equidimensional.
Cell shape varies depending
both on function and surface
area requirements.
12. The cell size is limited by the certain factors and that include surface area
to volume ratio, the nucleo-cytoplasmic ratio, the fragility of the cell
membrane and the structures that hold the cell together. Each of these
factors works in conjunction to limit the ability of the cell to support a larger
size
•Surface area to volume ratio
Cells diffuse nutrients and oxygen across their cell membrane to function
properly and obtain proper nutrition. Cells need a high surface area to
volume ratio, but the volume increases faster than surface area as cells
grow larger. Lets see the examples of formulae of simple shapes.
(where r is the length of each side of the cube)
(where r is the radius of the sphere, The diameter (d) of the sphere is twice
the radius so the above could be re-written in terms of diameter using the
relationship d=2r)
Using the above formulae, it is easy to express the ratios of surface area to
volume for these very simple shapes:
Surface area / Volume ratio for a cube = 6/r
Surface area / Volume ratio for a sphere = 3/r = 6/d
13. Why Are Cells So Small?
• Transport- Cell volume to surface area
ratios favor small size.
• Control- Nucleus to cytoplasm
consideration.
• Metabolic requirements-
……..we’ll come back to this later.
14. How small can a cell be?
Mycoplasmas - bacteria that are 0.1 to 1.0 µm.
(1/10 the size of regular
bacteria).
Note: 1.0 µm = one millionth of a meter
15. Cell Types
Prokaryotes- simple cells that do not have internal membranes
example = bacteria
Eukaryotes- more complex cells that do have internal, membrane-
bound structures
examples = plants and animals
17. Key Differences:
Prokaryotes
• Lack a nucleus and
other membrane
bounded structures.
• Have small ribosomes
• DNA is not organized
into chromosomes
• Flagella are not made of
microtubules and does
not have a 9+2 structure
• Cell walls are made of
peptidoglycan, not
cellulose
Eukaryotes
• Have a nucleus and other
membrane bounded
structures.
• Have large ribosomes
• DNA is organized into
chromosomes
• Flagella are made of
microtubules and have a
9+2 structure
• Cell walls are made of
cellulose