Deciphering DNA sequences is essential for virtually all branches of biological research. With the
advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to
elucidate genetic information from any given biological system. This technology has become widely
adopted in laboratories around the world, yet has always been hampered by inherent limitations in
throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential
information they need for their course of study. To overcome these barriers, an entirely new technology
was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing
that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
Deciphering DNA sequences is essential for virtually all branches of biological research. With the
advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to
elucidate genetic information from any given biological system. This technology has become widely
adopted in laboratories around the world, yet has always been hampered by inherent limitations in
throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential
information they need for their course of study. To overcome these barriers, an entirely new technology
was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing
that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
Next Generation Sequencing (NGS) Is A Modern And Cost Effective Sequencing Technology Which Enables Scientists To Sequence Nucleic Acids At Much Faster Rate. In This Presentation, You Will Learn About What is NGS, Idea Behind NGS, Methodology And Protocol, Widely Adapted NGS Protocols, Applications And References For Further Study.
Sanger sequencing is a method of DNA sequencing based on the selective incorporation of chain-terminating dideoxynucleotides by DNA polymerase during in vitro DNA replication.
After sequencing of the genome has been done, the first thing that comes to mind is "Where are the genes?". Genome annotation is the process of attaching information to the biological sequences. It is an active area of research and it would help scientists a lot to undergo with their wet lab projects once they know the coding parts of a genome.
Synopsis
Introduction
Some Facts
Types of SNPs
SNPs act as gene markers
Methods of Detection
Techniques to detect SNPs
Allelic Specific Cleavage
Differential Hybridization
Single Base Extension or minisequencing
Alternate Methods for Detecting SNPs
Mass Spectrometry
Microchips
SIGNIFICANCE OF SNPs
HAPLOTYPE
ADVANTAGES
Are SNP data available to the public?
Some important SNP database Resources
CONCLUSION
References
Next Generation Sequencing (NGS) Is A Modern And Cost Effective Sequencing Technology Which Enables Scientists To Sequence Nucleic Acids At Much Faster Rate. In This Presentation, You Will Learn About What is NGS, Idea Behind NGS, Methodology And Protocol, Widely Adapted NGS Protocols, Applications And References For Further Study.
Sanger sequencing is a method of DNA sequencing based on the selective incorporation of chain-terminating dideoxynucleotides by DNA polymerase during in vitro DNA replication.
After sequencing of the genome has been done, the first thing that comes to mind is "Where are the genes?". Genome annotation is the process of attaching information to the biological sequences. It is an active area of research and it would help scientists a lot to undergo with their wet lab projects once they know the coding parts of a genome.
Synopsis
Introduction
Some Facts
Types of SNPs
SNPs act as gene markers
Methods of Detection
Techniques to detect SNPs
Allelic Specific Cleavage
Differential Hybridization
Single Base Extension or minisequencing
Alternate Methods for Detecting SNPs
Mass Spectrometry
Microchips
SIGNIFICANCE OF SNPs
HAPLOTYPE
ADVANTAGES
Are SNP data available to the public?
Some important SNP database Resources
CONCLUSION
References
WHAT IS DNA SEQUENCER ?
DNA SEQUENCING.
HISTORY
MANUFACTURERES OF DNA SEQUENCER.
OTHER APPLICATIONS
CONCLUSION
REFERENCES
The order of the DNA bases is reported as a text string, called a read. Some DNA sequencers can be also considered optical instruments as they analyze light signals originating from fluorochromes attached to nucleotides.
The DNA microarray is a tool used to determine whether the DNA from a particular individual contains a mutation in genes like BRCA1 and BRCA2. The chip consists of a small glass plate encased in plastic. Some companies manufacture microarrays using methods similar to those used to make computer microchips.
A DNA microarray is a collection of microscopic DNA spots attached to a solid surface. Scientists use DNA microarrays to measure the expression levels of large numbers of genes simultaneously or to genotype multiple regions of a genome. Each DNA spot contains picomoles of a specific DNA sequence, known as probes.
This chapter provides an overview of DNA microarrays. Microarrays are a technology in which 1000’s of nucleic acids are bound to a surface and are used to measure the relative concentration of nucleic acid sequences in a mixture via hybridization and subsequent detection of the hybridization events. We first cover the history of microarrays and the antecedent technologies that led to their development. We then discuss the methods of manufacture of microarrays and the most common biological applications. The chapter ends with a brief discussion of the limitations of microarrays and discusses how microarrays are being rapidly replaced by DNA sequencing technologies.
The DNA microarray is a tool used to determine whether the DNA from a particular individual contains a mutation in genes like BRCA1 and BRCA2. The chip consists of a small glass plate encased in plastic. Some companies manufacture microarrays using methods similar to those used to make computer microchips.
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.
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.
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 .
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
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.
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.
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
1. Bioinformatics (Biot 604)
Lecture slides on
Illumina (sequencing by synthesis) method
By: Fekadu Korsa
Submitted to Dr. Abiy Zegeye
June 7, 2020
Addis Ababa, Ethiopia
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Addis Ababa University, School of Graduate
Studies, Institute of Biotechnology
2. Outline of the Presentation
Definition
steps of Sequencing by synthesis
Analytic procedures performed on the out put
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3. Definition
What is Sequencing-by-Synthesis?
is the most widely used NGS technology in the world.
developed by Illumina.
generates > 90% of the sequencing data of the world .
generates many millions of highly accurate reads making
much faster and cheaper than other sequencing methods.
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4. Steps of Sequencing by synthesis
1. DNA sample preparation
.
2.Attach the DNA to surface of flow cell
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Cut DNA into smaller fragment by using enzyme
digestion
Ligate adapter to both ends of DNA Fragment
Primer was loaded on the flow cell
DNA fragments are washed across the flow cell.
Denature DNA strand by heating to 95 oC
5. Flow cell
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Surface of flow cell coated with a lawn of oligo pairs
DNA that doesn’t attach is washed away.
Single DNA binds to primers on the surface of the flow cell
6. 3. Bridge Amplification
4. Formation of dsDNA
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Single-stranded molecule flips over &
forms a bridge by hybridizing to
complementary prime
Hybridized primer is extended
by polymerases
Reagents such as Primers, buffer,
Nucleotides, DNA Polymerase were
added on the flow well
7. 5. Denaturation of DNA Bridge
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ds DNA bridge is broken down by using heat.
Two copies of ssDNA are formed and covalently attached to flow cell
8. 6. Completes Amplification
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Cycle of new strand synthesis and Denaturation
to make multiple copies of the same
sequence (amplification)
Fragments Become Double Stranded
Denature the Double Strand Molecules
9. 7. First base determination
8.Take image of first base
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Add sequencing reagents such as
Primer, DNA polymerase, Fluorescently
labeled nucleotides and Buffer
First base is incorporated
Remove unincorporated bases
Detect Signal & take image of base
Deblock and remove the fluorescent signal for
new cycle
10. 9. Determine second base
10.Take image of second base
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Add sequencing reagents
Primer,DNA polymerase, Fluorescently
labeled nucleotides and Buffer
Second base is incorporated
Remove unincorporated bases
Detect Signal & take image of base
Deblock and remove the fluorescent signal for
new cycle
11. 11.Reading sequence (Out put)
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The identity of each base of a cluster is read off from sequential images
Data analysis is done by transforming images
into base calls and reads
12. 12. Align data
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After the sequencing is finished they are aligned and
analyzed
Reads obtained grouped based on their index
sequences
sequences with similar reads are clustered
Forward and reverse reads are paired to form
contiguous sequences.
The data are aligned and compared to a reference, and
sequencing differences are identified.
13. Data Analysis
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.Images transformed into base calls and reads
DNA sequence is analyzed base-by-base
The sequence generated can be aligned to a reference sequence,
this looks for matches or changes in the sequenced DNA
Illumina sequencing method is a highly accurate method.