Disclaimer: This is not my own Powerpoint Presentation. Credits to Mindanao State University - General Santos City - College of Natural Science and Mathematics.
This presentation deals with the ‘Central Dogma’ which is briefly the process by which the instructions in DNA are converted into a functional product. It was first proposed in 1958 by Francis Crick, discoverer of the structure of DNA.
The genetic material of a cell or an organism refers to those materials found in the nucleus, mitochondria and cytoplasm, which play a fundamental role in determining the structure and nature of cell substances, and capable of self-propagating and variation.
This presentation deals with the ‘Central Dogma’ which is briefly the process by which the instructions in DNA are converted into a functional product. It was first proposed in 1958 by Francis Crick, discoverer of the structure of DNA.
The genetic material of a cell or an organism refers to those materials found in the nucleus, mitochondria and cytoplasm, which play a fundamental role in determining the structure and nature of cell substances, and capable of self-propagating and variation.
description of translation in both prokaryotes and eukaryotes and the components required for translation and also co translation tranlocation,post translation translocation and also inhibitors of translation in both prokaryotes and eukaryotes
DNA is maintained in a compressed, supercoiled state.
But basis of replication is the formation of strands based on specific bases pairing with their complementary bases
description of translation in both prokaryotes and eukaryotes and the components required for translation and also co translation tranlocation,post translation translocation and also inhibitors of translation in both prokaryotes and eukaryotes
DNA is maintained in a compressed, supercoiled state.
But basis of replication is the formation of strands based on specific bases pairing with their complementary bases
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
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ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
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/
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.
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.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Deep Software Variability and Frictionless Reproducibility
Central Dogma of Life
1.
2. Organelles
nucleus
ribosomes
endoplasmic reticulum
(ER)
Golgi apparatus
vesicles
Making proteins
small
ribosomal
subunit
large
ribosomal
subunit
cytoplasm
mRNA
nuclear pore
3. The “Central Dogma”
Flow of genetic information in a cell
How do we move information from DNA to proteins?
transcription
translation
replication
proteinRNADNA trait
DNA gets
all the glory,
but proteins do
all the work!
4.
5. DNA Replication
semiconservative
Watson and Crick base
pairing maintained
Synthesis in 5’ to 3’ direction
A primer is needed for
initiation
a complex process involving
several enzymes and
proteins (Replisome)
6. Copying DNA
Replication of DNA
base pairing allows
each strand to serve
as a template for a
new strand
7. Models of DNA Replication
Alternative models
so how is DNA copied?
conservative semiconservative dispersive
8.
9. Proteins and Enzymes
DNA polymerase I – 5’ to 3’ polymerization
– 3’ to 5’ proofreading
– 5’ to 3’ exonuclease activity
DNA Polymerase II – DNA Repair functions
DNA Polymerase III – primary replication enzyme
Helicase
Single-strand Binding Proteins
Primase
Ligase
Topoisomerase
13. Transcription in Eukaryotes
3 RNA polymerase enzymes
RNA polymerase 1
only transcribes rRNA genes
makes ribosomes
RNA polymerase 2
transcribes genes into mRNA
RNA polymerase 3
only transcribes tRNA genes
each has a specific promoter sequence
it recognizes
14. Transcription in Eukaryotes
Initiation complex
transcription factors bind
to promoter region
upstream of gene
suite of proteins which bind
to DNA
turn on or off transcription
TATA box binding site
recognition site for
transcription factors
transcription factors
trigger the binding of RNA
polymerase to DNA
16. A A A
A
A3' poly-A tail
mRNA
5'
5' cap
3'
GP
PP
50-250 A’s
Post-transcriptional processing
eukaryotic DNA
exon = coding (expressed) sequence
intron = noncoding (inbetween) sequence
primary mRNA
transcript
mature mRNA
transcript
pre-mRNA
spliced mRNA
Primary transcript (pre-mRNA)
eukaryotic mRNA needs work after transcription
mRNA processing (making mature mRNA)
mRNA splicing = edit out introns
protect mRNA from enzymes in cytoplasm
add 5′ cap
add polyA tail
~10,000 bases
~1,000 bases
17. Splicing must be accurate
No room for mistakes!
splicing must be exactly accurate
a single base added or lost throws off the
reading frame
AUG|CGG|UCC|GAU|AAG|GGC|CAU
AUGCGGCTATGGGUCCGAUAAGGGCCAU
AUGCGGUCCGAUAAGGGCCAU
AUG|CGG|GUC|CGA|UAA|GGG|CCA|U
AUGCGGCTATGGGUCCGAUAAGGGCCAU
AUGCGGGUCCGAUAAGGGCCAU
Met|Arg|Ser|Asp|Lys|Gly|His
Met|Arg|Val|Arg|STOP|
18. Splicing enzymes
snRNPs
exonexon intron
snRNA
5' 3'
spliceosome
exon
excised
intron
5'
5'
3'
3'
3'
lariat
exon
mature mRNA
5'
No,
not smurfs!
“snurps”
snRNPs
small nuclear RNA
proteins
Spliceosome
several snRNPs
recognize splice
site sequence
cut & paste
19. Prokaryote vs. Eukaryote genes
Prokaryotes
DNA in cytoplasm
circular
chromosome
naked DNA
no introns
Eukaryotes
DNA in nucleus
linear
chromosomes
DNA wound on
histone proteins
introns vs. exons
eukaryotic
DNA
exon = coding (expressed) sequence
intron = noncoding (inbetween) sequence
introns
come out!
23. Transcription & translation are simultaneous
in bacteria
DNA is in
cytoplasm
no mRNA
editing
ribosomes
read mRNA
as it is being
transcribed
Translation in Prokaryotes
24. Translation: prokaryotes vs. eukaryotes
Differences between prokaryotes &
eukaryotes
time & physical separation between
processes
takes eukaryote ~1 hour
from DNA to protein
RNA processing
26. mRNA
From gene to protein
DNA
transcription
nucleus cytoplasm
mRNA leaves
nucleus through
nuclear pores
proteins synthesized
by ribosomes using
instructions on mRNA
aa
aa
aa
aa
aa
aa
aa
aa
ribosome
protein
translation
27. How does mRNA code for proteins?
TACGCACATTTACGTACGCGGDNA
AUGCGUGUAAAUGCAUGCGCCmRNA
Met Arg Val Asn Ala Cys Alaprotein
?
How can you code for 20 amino acids
with only 4 nucleotide bases (A,U,G,C)?
4
4
20
ATCG
AUCG
29. Cracking the code
1960 | 1968
Crick
determined 3-letter (triplet) codon system
Nirenberg & Khorana
WHYDIDTHEREDBATEATTHEFATRATWHYDIDTHEREDBATEATTHEFATRAT
Nirenberg & Khorana
determined mRNA–amino acid match
added fabricated mRNA to test tube of
ribosomes, tRNA & amino acids
created artificial UUUUU… mRNA
found that UUU coded for phenylalanine (phe)
30. The code
Code for ALL life!
strongest support for
a common origin for
all life
Code is redundant
several codons for
each amino acid
3rd base “wobble”
Start codon
AUG
methionine
Stop codons
UGA, UAA, UAG
Why is the
wobble good?
31. How are the codons matched to
amino acids?
TACGCACATTTACGTACGCGGDNA
AUGCGUGUAAAUGCAUGCGCCmRNA
amino
acid
tRNA
anti-codon
codon
5′ 3′
3′ 5′
3′ 5′
UAC
Met
GCA
Arg
CAU
Val
32. mRNA
From gene to protein
DNA
transcription
nucleus
cytoplasm
aa
aa
aa
aa
aa
aa
aa
aa
ribosome
protein
translation
aa
33. Transfer RNA structure
“Clover leaf” structure
anticodon on “clover leaf” end
amino acid attached on 3′ end
34.
35. Ribosomes
Facilitate coupling of
tRNA anticodon to
mRNA codon
organelle or enzyme?
Structure
ribosomal RNA (rRNA) & proteins
2 subunits
large
small E P A
36. Ribosomes
Met
5'
3'
U
U
A C
A G
APE
A site (aminoacyl-tRNA site)
holds tRNA carrying next amino acid to
be added to chain
P site (peptidyl-tRNA site)
holds tRNA carrying growing
polypeptide chain
E site (exit site)
empty tRNA
leaves ribosome
from exit site
37. Building a polypeptide
Initiation
brings together mRNA, ribosome
subunits, initiator tRNA
Elongation
adding amino acids based on
codon sequence
Termination
end codon 123
Leu
Leu Leu Leu
tRNA
Met Met
Met Met
PE A
mRNA
5' 5' 5' 5'
3' 3' 3'
3'
U UA AA
AC
C
C
AU UG G
GU
U
A
AA
AC
C
C
AU UG G
GU
U
A
AA
AC
C
C
AU UG G
GU U
A
AAC
CAU UG G
G
A
C
Val
Ser
Ala
Trp
release
factor
A
A A
CC
U UGG
3'
38. Can you tell
the story?
DNA
pre-mRNA
ribosome
tRNA
amino
acids
polypeptide
mature mRNA
5' cap
polyA tail
large ribosomal subunit
small ribosomal subunit
aminoacyl tRNA
synthetase
E P A
5'
3'
RNA polymerase
exon intron
tRNA
To get from the chemical language of DNA to the chemical language of proteins requires 2 major stages:
transcription and translation
eukaryotic RNA is about 10% of eukaryotic gene.
Walter Gilbert hypothesis:
Maybe exons are functional units and introns make it easier for them to recombine, so as to produce new proteins with new properties through new combinations of domains.
Introns give a large area for cutting genes and joining together the pieces without damaging the coding region of the gene…. patching genes together does not have to be so precise.
Strong evidence for a single origin in evolutionary theory.