Oxford Nanopore was founded in Oxford Nanolabs by Dr.Gordon Sanghera, Dr.Spike Willcocks and Professor Hagan Bayley. Nanopore sequencing has been around since the 1990s, when Church et al. and Deamer and Akeson separately proposed that it is possible to sequence DNA using nanopore sensors.
A class of DNA sequencing techniques currently in active development is third-generation sequencing, commonly referred to as long-read sequencing. In comparison to second generation sequencing, also referred to as next generation sequencing, third generation sequencing technologies have the capacity to create noticeably longer reads.
A class of DNA sequencing techniques currently in active development is third-generation sequencing, commonly referred to as long-read sequencing. In comparison to second generation sequencing, also referred to as next generation sequencing, third generation sequencing technologies have the capacity to create noticeably longer reads.
Nanopore sequencing is a unique, scalable technology that enables direct, real-time analysis of long DNA or RNA fragments. It works by monitoring changes to an electrical current as nucleic acids are passed through a protein nanopore. The resulting signal is decoded to provide the specific DNA or RNA sequence.
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.
Next generation-sequencing.ppt-convertedShweta Tiwari
The advance version, sequences the whole genome efficiently with high speed and high throughput sequencing at reduce cost is termed as Next Generation Sequencing (NGS) or massively parallel sequencing (MPS).
Biotechnophysics: DNA Nanopore SequencingMelanie Swan
Biophysics (not merely bioengineering) is required to understand the fundamental mechanisms of biology in order to make technologies (bench and bioinformatic) for understanding them
whole genome analysis
history
needs
steps involved
human genome data
NGS
pyrosequencing
illumina
SOLiD
Ion torrent
PacBio
applications
problems
benefits
PacBio SMRT - THIRD GENERATION SEQUENCING TECHNIQUEMuunda Mudenda
Nucleic acids sequencing is a very powerful molecular biology and biotechnology technique that gives way to discovery, invention, and solutions. This academic document discusses Single-Molecule Real-Time (SMRT) sequencing platform by Pacific Biosciences (PacBio). The doeucment does not claim to exhaust the subject but you will surely get all the needed highlights to understand this technology better. If you would like an in-depth discussion, do not hesitate to write me an email. Enjoy the read.
Nanopore sequencing is a unique, scalable technology that enables direct, real-time analysis of long DNA or RNA fragments. It works by monitoring changes to an electrical current as nucleic acids are passed through a protein nanopore. The resulting signal is decoded to provide the specific DNA or RNA sequence.
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.
Next generation-sequencing.ppt-convertedShweta Tiwari
The advance version, sequences the whole genome efficiently with high speed and high throughput sequencing at reduce cost is termed as Next Generation Sequencing (NGS) or massively parallel sequencing (MPS).
Biotechnophysics: DNA Nanopore SequencingMelanie Swan
Biophysics (not merely bioengineering) is required to understand the fundamental mechanisms of biology in order to make technologies (bench and bioinformatic) for understanding them
whole genome analysis
history
needs
steps involved
human genome data
NGS
pyrosequencing
illumina
SOLiD
Ion torrent
PacBio
applications
problems
benefits
PacBio SMRT - THIRD GENERATION SEQUENCING TECHNIQUEMuunda Mudenda
Nucleic acids sequencing is a very powerful molecular biology and biotechnology technique that gives way to discovery, invention, and solutions. This academic document discusses Single-Molecule Real-Time (SMRT) sequencing platform by Pacific Biosciences (PacBio). The doeucment does not claim to exhaust the subject but you will surely get all the needed highlights to understand this technology better. If you would like an in-depth discussion, do not hesitate to write me an email. Enjoy the read.
Sequencing genes and genomes in biology. The most important technique available to the molecular biologist is DNA sequencing, by which the precise order of nucleotides in a piece of DNA can be determined
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
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.
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.
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.
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.
2. Introduction
• In 2005, Oxford Nanopore was founded in
Oxford Nanolabs by Dr.Gordon
Sanghera, Dr.Spike
Willcocks and Professor Hagan Bayley
(currently Professor of Chemical Biology at
the University of Oxford),
• Nanopore sequencing has been around
since the 1990s, when Church et al. and
Deamer and Akeson separately proposed
that it is possible to sequence DNA using
nanopore sensors.
3. Nanopore sequencing
• Each base produces different ionic current
torrents during DNA translocating through a small
channel (nanopore), and these changes can be
used to determine the sequence of the nucleic
acid.
• The pores are usually in a biological membrane,
or in solid state film.
• The hole is blocked, due to passage of molecules.
The current flow is also blocked. Each nucleotide
blocks the channel differently giving a different
amplitude and duration of the blockade. This
information is converted into DNA sequence
information.
4. Nanopore DNA sequencing
• Strand sequencing:
– Sequencing in real time
as the intact DNA
polymer passess
through the nanopore.
• Exonuclease
sequencing:
– Individual nucleotides
pass through the
nanopore by the aid of
processive
exonuclease.
8. Oxford Nanopore
• Alpha-Hemolysin (obtained from)
• The nanopore through the which the ssDNA or RNA is
sequenced though is a alpha hemolysin protein mutant
(M113R-RL2 ).
• Mutants of the α-hemolysin (αHL) pore that bind the
adapter β-cyclodextrin (βCD) ∼104 times more tightly than
the wild type have been obtained.
• Mutant pore, M113N7, that
releases βCD ∼104 times
more slowly
9. Adapters
– Adapter provides internal binding site for small
molecules
– am7βCD adapter (heptakis-(6-deoxy-6-amino)-β-
cyclodextrin; which comprise seven primary hydroxyls
replaced with amino groups.
– gu7βCD adapter (heptakis(6-deoxy-6-guanidino)-
βCyclodextrin; The molecule comprises βCD with seven
guanidinium groups in place of
the primary hydroxyls, with the
guanidinium groups
12. • The first product, MinION, was
introduced into early access in 2014
and made commercially available in
2015.
• Portable device.
13. Reference:
• Nanopore-based identification of individual
nucleotides for direct RNA sequencing Mariam
Ayub, Steven W. Hardwick, Ben F. Luisi, and Hagan
Bayley.
• Ayub, M. and Bayley, H. (2012). Single Molecule
RNA Base Identification with a Biological
Nanopore.Biophysical Journal 102:429.Oxford
Nanopore.
