El jueves y viernes 18 y 19 de enero del 2018 se organizó en la Fundación Ramón Areces un Simposio Internacional: Patología del Sueño: de la Neurobiología a las manifestaciones sistémicas. En colaboración con la Sociedad Española de Sueño.
The Laboratory Diagnosis Of Tuberous Sclerosisatss
Presented at the 2007 ATSS Conference: Advances in Tuberous Sclerosis: From Pathway to Therapy. Michael Buckley presented outcomes from the SEALS laboratoty and described the basic processes being used at the lab.
From “Artificial” to “Real”: What 24/7 Home Cage Monitoring Teaches Us In Pre...InsideScientific
In this webinar Dr. Stefano Gaburro, Scientific Director at Tecniplast, will present an innovative non-invasive and scalable technique called Digital Ventilated Cage (DVC) that is meant to perform longitudinal studies for neurodegenerative disease models using long term monitoring of mice in a stress-free environment.
In the second part of the webinar, Dr. Brun Ulfhake from Karolinska Institutet will show how this technique can be used to study biorhythmicity (circadian and circannual) of small rodents and approaches to characterize and extract metrics of the spontaneous home-cage way of life for mice. These metrics may translate better to behavioral observations made in humans.
The Human Genome Project (HGP) was an international scientific research project with the goal of determining the base pairs that make up human DNA, and of identifying and mapping all of the genes of the human genome from both a physical and a functional standpoint.
Microglia-Derived ExosomalmicroRNA-151-3p enhances functional Healing After Spinal Cord Injury by attenuating Neuronal Apoptosis via Regulating the p53/p21/ CDK1 Signaling Pathway
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is a difficult, tedious and a time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC)
systems. Sleep stage classification refers to identifying the various stages of sleep and is a critical step in an effort to assist physicians in the diagnosis and treatment of related sleep disorders. In this paper, we propose a novel method and a practical approach to predicting early onsets of sleep syndromes utilizing the Twin Convolutional Model FTC2, including restless leg syndrome, insomnia, based on an algorithm which is comprised of two modules. A Fast Fourier Transform is applied to 30 seconds long epochs of EEG recordings to provide localized time-frequency information, and a deep convolutional LSTM neural network is trained for sleep stage classification. Automating sleep
stages detection from EEG data offers a great potential to tackling sleep irregularities on a daily basis. Thereby, a novel approach for sleep stage classification is proposed which combines the best of signal processing and statistics.
The Laboratory Diagnosis Of Tuberous Sclerosisatss
Presented at the 2007 ATSS Conference: Advances in Tuberous Sclerosis: From Pathway to Therapy. Michael Buckley presented outcomes from the SEALS laboratoty and described the basic processes being used at the lab.
From “Artificial” to “Real”: What 24/7 Home Cage Monitoring Teaches Us In Pre...InsideScientific
In this webinar Dr. Stefano Gaburro, Scientific Director at Tecniplast, will present an innovative non-invasive and scalable technique called Digital Ventilated Cage (DVC) that is meant to perform longitudinal studies for neurodegenerative disease models using long term monitoring of mice in a stress-free environment.
In the second part of the webinar, Dr. Brun Ulfhake from Karolinska Institutet will show how this technique can be used to study biorhythmicity (circadian and circannual) of small rodents and approaches to characterize and extract metrics of the spontaneous home-cage way of life for mice. These metrics may translate better to behavioral observations made in humans.
The Human Genome Project (HGP) was an international scientific research project with the goal of determining the base pairs that make up human DNA, and of identifying and mapping all of the genes of the human genome from both a physical and a functional standpoint.
Microglia-Derived ExosomalmicroRNA-151-3p enhances functional Healing After Spinal Cord Injury by attenuating Neuronal Apoptosis via Regulating the p53/p21/ CDK1 Signaling Pathway
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is a difficult, tedious and a time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC)
systems. Sleep stage classification refers to identifying the various stages of sleep and is a critical step in an effort to assist physicians in the diagnosis and treatment of related sleep disorders. In this paper, we propose a novel method and a practical approach to predicting early onsets of sleep syndromes utilizing the Twin Convolutional Model FTC2, including restless leg syndrome, insomnia, based on an algorithm which is comprised of two modules. A Fast Fourier Transform is applied to 30 seconds long epochs of EEG recordings to provide localized time-frequency information, and a deep convolutional LSTM neural network is trained for sleep stage classification. Automating sleep
stages detection from EEG data offers a great potential to tackling sleep irregularities on a daily basis. Thereby, a novel approach for sleep stage classification is proposed which combines the best of signal processing and statistics.
This Slide describes progression of alzheimer disease and the changes that occurs in alzheimer disease. Also it describes how the disease progress to different parts of brain and which different part of brain are involved in it. It is made by Gopal Agarwal, Ph.D Research Scholar, NIPER-Ahmedabad
Evening use of light-emitting eReaders negativelyaffects sle.docxturveycharlyn
Evening use of light-emitting eReaders negatively
affects sleep, circadian timing, and
next-morning alertness
Anne-Marie Changa,b,1,2, Daniel Aeschbacha,b,c, Jeanne F. Duffya,b, and Charles A. Czeislera,b
aDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA 02115; bDivision of Sleep
Medicine, Harvard Medical School, Boston, MA 02115; and cInstitute of Aerospace Medicine, German Aerospace Center, 51147 Cologne, Germany
Edited by Joseph S. Takahashi, Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, and approved November 26,
2014 (received for review September 24, 2014)
In the past 50 y, there has been a decline in average sleep duration
and quality, with adverse consequences on general health. A
representative survey of 1,508 American adults recently revealed
that 90% of Americans used some type of electronics at least
a few nights per week within 1 h before bedtime. Mounting
evidence from countries around the world shows the negative
impact of such technology use on sleep. This negative impact on
sleep may be due to the short-wavelength–enriched light emitted
by these electronic devices, given that artificial-light exposure has
been shown experimentally to produce alerting effects, suppress
melatonin, and phase-shift the biological clock. A few reports have
shown that these devices suppress melatonin levels, but little is
known about the effects on circadian phase or the following sleep
episode, exposing a substantial gap in our knowledge of how this
increasingly popular technology affects sleep. Here we compare
the biological effects of reading an electronic book on a light-emit-
ting device (LE-eBook) with reading a printed book in the hours
before bedtime. Participants reading an LE-eBook took longer to
fall asleep and had reduced evening sleepiness, reduced melatonin
secretion, later timing of their circadian clock, and reduced next-
morning alertness than when reading a printed book. These results
demonstrate that evening exposure to an LE-eBook phase-delays
the circadian clock, acutely suppresses melatonin, and has important
implications for understanding the impact of such technologies on
sleep, performance, health, and safety.
sleep | chronobiology | phase-shifting | digital media | electronics
The use of electronic devices for reading, communication, andentertainment has greatly increased in recent years. Greater
portability, convenience, and ease of access to reading materials
in electronic form add to the popularity of these devices. The use
of light-emitting devices immediately before bedtime is a con-
cern because light is the most potent environmental signal that
impacts the human circadian clock and may therefore play a role
in perpetuating sleep deficiency (1). The circadian-timing system
synchronizes numerous internal physiological and biochemical
processes, including the daily rhythm of sleep propensity (2).
Noninvasive, Automated Measurement of Sleep, Wake and Breathing in RodentsInsideScientific
In this exclusive webinar sponsored by Signal Solutions LLC, Dr. Bruce O’Hara discusses methodology, best-practices and use studies of the PiezoSleep system. Discussion focuses on how these techniques can answer questions about animal behavior, phenotyping and relationships between sleep and disease. Dr. O’Hara also highlights the benefits of the PiezoSleep system that can assess sleep, wake and breathing variables.
This webinar is part of a 2-hour monthly series hosted by the Neurotechnology Innovation Network: https://ktn-uk.org/health/neurotechnology/
Each webinar features expert speakers and focusses on a new development in a different technology area.
The third topic in this series is Dementia treatment using a biodesign approach. Dementia can have enormous effects, not only to those suffering but also family members and others
caring for them, but there are currently no effective therapies available. Neurotechnology offers a new way of treating dementia.
There is growing evidence that technologies such as deep brain stimulation and transcranial magnetic stimulation could help treat some of the effects of dementia and brain-computer interfaces are now able to detect the first signs of dementia years before symptoms appear.
In collaboration with UK Dementia Research Institute this webinar explores novel neurotechnologies to treat dementia, discuss barriers to adoption and new opportunities in the field.
Computer Aided Detection of Obstructive Sleep Apnea from EEG Signalssipij
Sleep Apnea is an anomaly in sleeping characterized by short pause in breathing. Failure to treat sleep
apnea leads to fatal complications in both psychological and physiological being of human.
Electroencephalogram (EEG) performs an important task in probing for sleep apnea through identifying
and recording the brain’s activities while sleeping. In this study, computer aided detection of sleep apnea
from EEG signals is developed to optimize and increase the prompt recognition and diagnosis of sleep
apnea in patients. The time domain, wavelets, and frequency domain of the EEG signals were computed,
and features were extracted from these domains. These features are inputted into two machine learning
algorithms: Support Vector Machine and K-Nearest Neighbors of different kernel functions and orders.
Evaluation metrics such as specificity, accuracy, and sensitivity are computed and analyzed for the
classifiers. The KNN classifier outperforms the SVM in classifying apnea from non-apnea events in
patients. The KNN order 3 shows the highest performance sensitivity of 85.92%, specificity of 80% and
accuracy of 82.69%.
Computer Aided Detection of Obstructive Sleep Apnea from EEG Signalssipij
Sleep Apnea is an anomaly in sleeping characterized by short pause in breathing. Failure to treat sleep
apnea leads to fatal complications in both psychological and physiological being of human.
Electroencephalogram (EEG) performs an important task in probing for sleep apnea through identifying
and recording the brain’s activities while sleeping. In this study, computer aided detection of sleep apnea
from EEG signals is developed to optimize and increase the prompt recognition and diagnosis of sleep
apnea in patients. The time domain, wavelets, and frequency domain of the EEG signals were computed,
and features were extracted from these domains. These features are inputted into two machine learning
algorithms: Support Vector Machine and K-Nearest Neighbors of different kernel functions and orders.
Evaluation metrics such as specificity, accuracy, and sensitivity are computed and analyzed for the
classifiers. The KNN classifier outperforms the SVM in classifying apnea from non-apnea events in
patients. The KNN order 3 shows the highest performance sensitivity of 85.92%, specificity of 80% and
accuracy of 82.69%.
Computer Aided Detection of Obstructive Sleep Apnea from EEG Signalssipij
Sleep Apnea is an anomaly in sleeping characterized by short pause in breathing. Failure to treat sleep
apnea leads to fatal complications in both psychological and physiological being of human.
Electroencephalogram (EEG) performs an important task in probing for sleep apnea through identifying
and recording the brain’s activities while sleeping. In this study, computer aided detection of sleep apnea
from EEG signals is developed to optimize and increase the prompt recognition and diagnosis of sleep
apnea in patients. The time domain, wavelets, and frequency domain of the EEG signals were computed,
and features were extracted from these domains. These features are inputted into two machine learning
algorithms: Support Vector Machine and K-Nearest Neighbors of different kernel functions and orders.
Evaluation metrics such as specificity, accuracy, and sensitivity are computed and analyzed for the
classifiers. The KNN classifier outperforms the SVM in classifying apnea from non-apnea events in
patients. The KNN order 3 shows the highest performance sensitivity of 85.92%, specificity of 80% and
accuracy of 82.69%.
Jordi Torren - Coordinador del proyecto ESVAC. Agencia Europea de Medicamento...Fundación Ramón Areces
El martes 5 de junio del 2018 organizamos una Jornada en la Fundación Ramón Areces, en la cual se habló sobre el consumo de antibióticos y transmisión de resistencia entre humanos y animales.
Dominique L. Monnet Director del programa ARHAI (Antimicrobial Resistance an...Fundación Ramón Areces
El martes 5 de junio del 2018 organizamos una Jornada en la Fundación Ramón Areces, en la cual se habló sobre el consumo de antibióticos y transmisión de resistencia entre humanos y animales.
El jueves 24 de mayo del 2018 organizamos una Conferencia con Antonio Cabrales en la Fundación Ramón Areces. Una conferencia en la cual el tema fue: Estilo negociador y confianza, ¿hay diferencias entre hombres y mujeres?
Teresa Puig - Institut de Ciència de Materials de Barcelona, ICMAB-CSIC, Espa...Fundación Ramón Areces
El lunes y martes 21 y 22 de mayo del 2018 realizamos un Simposio Internacional en la Fundación Ramón Areces, tratando el tema de la superconductividad y presión: una relación fructífera en el camino hacia la superconductividad a temperatura ambiente.
Elena Bascones - Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC), Es...Fundación Ramón Areces
El lunes y martes 21 y 22 de mayo del 2018 realizamos un Simposio Internacional en la Fundación Ramón Areces, tratando el tema de la superconductividad y presión: una relación fructífera en el camino hacia la superconductividad a temperatura ambiente.
El jueves 17 de mayo del 2018 se organizó una Mesa Redonda en la Fundación Ramón Areces, en la cual se habló sobre las subidas de tipos en la era Trump y la nueva globalización.
El jueves 17 de mayo del 2018 se organizó una Mesa Redonda en la Fundación Ramón Areces, en la cual se habló sobre las subidas de tipos en la era Trump y la nueva globalización.
El miércoles 16 de mayo del 2018 celebramos una Jornada en la Fundación Ramón Areces, en la cual se habló sobre las nuevas fronteras de investigación sobre la distribución comercial y el comportamiento del consumidor.
El miércoles 16 de mayo del 2018 celebramos una Jornada en la Fundación Ramón Areces, en la cual se habló sobre las nuevas fronteras de investigación sobre la distribución comercial y el comportamiento del consumidor.
Juan Carlos López-Gutiérrez - Unidad de Anomalías Vasculares, Hospital Unive...Fundación Ramón Areces
El jueves y viernes 10 y 11 de mayo del 2018 realizamos en la Fundación Ramón Areces un Simposio Internacional, en el cual se trató el tema del mosaicismo somático en malformaciones vasculares.
Víctor Martínez-Glez. - Instituto de Genética Médica y Molecular (INGEMM). I...Fundación Ramón Areces
El jueves y viernes 10 y 11 de mayo del 2018 realizamos en la Fundación Ramón Areces un Simposio Internacional, en el cual se trató el tema del mosaicismo somático en malformaciones vasculares.
Rudolf Happle - Dermatología, University of Freiburg Medical Center, Freiburg...Fundación Ramón Areces
El jueves y viernes 10 y 11 de mayo del 2018 realizamos en la Fundación Ramón Areces un Simposio Internacional, en el cual se trató el tema del mosaicismo somático en malformaciones vasculares.
Rafael Doménech - Responsable de Análisis Macroeconómico, BBVA Research. Fundación Ramón Areces
El martes 8 de mayo de 2018 realizamos una conferencia en la Fundación Ramón Areces, en la cual se habló sobre el futuro de las pensiones: una visión global.
El martes 8 de mayo de 2018 realizamos una conferencia en la Fundación Ramón Areces, en la cual se habló sobre el futuro de las pensiones: una visión global.
El martes 8 de mayo de 2018 realizamos una conferencia en la Fundación Ramón Areces, en la cual se habló sobre el futuro de las pensiones: una visión global.
Nicholas Barr - Profesor de Economía Pública, London School of Economics. Fundación Ramón Areces
El martes 8 de mayo de 2018 realizamos una conferencia en la Fundación Ramón Areces, en la cual se habló sobre el futuro de las pensiones: una visión global.
El viernes 27 de abril del 2018 se celebró en la Fundación Ramón Areces una Jornada sobre física , en la cual se trataron diversos temas como: Los materiales mecanocalóricos, magnetísmo, biofísica, la energía oscura y instrumentación astronómica.
El viernes 20 de abril organizamos una Jornada sobre la ciencia en el corazón de Europa, en colaboración con Científicos Españoles en Bélgica (CEBE) y realizada en la Fundación Ramón Areces.
Marta Olivares - Investigadora Postdoctoral en Université catholique de Louva...Fundación Ramón Areces
El viernes 20 de abril organizamos una Jornada sobre la ciencia en el corazón de Europa, en colaboración con Científicos Españoles en Bélgica (CEBE) y realizada en la Fundación Ramón Areces.
El viernes 20 de abril organizamos una Jornada sobre la ciencia en el corazón de Europa, en colaboración con Científicos Españoles en Bélgica (CEBE) y realizada en la Fundación Ramón Areces.
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.
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.
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.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
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/
ISI 2024: Application Form (Extended), Exam Date (Out), EligibilitySciAstra
The Indian Statistical Institute (ISI) has extended its application deadline for 2024 admissions to April 2. Known for its excellence in statistics and related fields, ISI offers a range of programs from Bachelor's to Junior Research Fellowships. The admission test is scheduled for May 12, 2024. Eligibility varies by program, generally requiring a background in Mathematics and English for undergraduate courses and specific degrees for postgraduate and research positions. Application fees are ₹1500 for male general category applicants and ₹1000 for females. Applications are open to Indian and OCI candidates.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
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.
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.
Nutraceutical market, scope and growth: Herbal drug technology
Paul Franken - Center for Integrative Genomics, University of Lausanne, Switzerland.
1. International Symposium: Sleep disorders: from Neurobiology to Systemic Consequences
Life & Earth Sciences | Madrid, January 18-19, 2018
Systems genetics of sleep homeostasis
paul.franken@unil.ch
Center for Integrative Genomics
2. Sleep is complex and is studied at many levels
• NREM & REM sleep
• Brain activity (EEG) & metabolism
• Brain anatomy & neurophysiology
• Functional & evolutionary considerations
• Dreams
• Sleep disorders
Van Gogh 1890SLEEP
• Sleep-Wake history & Circadian time
• Environmental influences
• Stress / Drugs / Disease / Aging
• Socio-economic demands (shiftwork)
• Genetics
• Quality of life
• Cognitive performance &
memory processes
• Accidents
• Increased disease risk
4. d
EEG delta power quantifies
the amplitude and prevalence of EEG slow waves (1-4 Hz)
5. Franken, Chollet, Tafti J Neurosci 2001
EEG delta power: reflection of an hourglass measuring
the duration of prior wakefulness
Sleep as a fundamental property of neuronal
assemblies
Krueger et al. Nat Rev Neurosci 2008
Sleep function and synaptic homeostasis
Tononi & Cirelli Sleep Med Rev 2006
Timing of human sleep: recovery process
gated by a circadian pacemaker
Daan, Beersma, Borbély Am J Physiol 1984
6. Forward Genetics (“from-phenotype-to-gene”)
Mutagenesis screens
Quantitative-Trait-Loci (QTL) approach
Genome-wide association (GWA) studies
Reverse Genetics (“from-gene-to-phenotype”)
Candidate genes in transgenics (knock out)
Association and candidate gene studies in humans
Molecular genetics (“from-phenotype-to-mRNA”)
Transcriptome analyses
(Proteomics……..)
Genetic approaches to identify the molecular pathways
shaping the response to sleep loss
11. Genome-wide association of multiple
complex traits in outbred mice by
ultra-low-coverage sequencing.
Nicod et al. Nat Genet 2016
Ppargc1a Unc13c
Sleep fragmentation
Genome-wide association (GWA) studies in CFW outbred mice
13. Central and Peripheral Consequences of Sleep Loss:
A Systems Genetics Approach in Mice
Use a mouse Genetic Reference Population (GRP) to map the genes and molecular
pathways involved in regulating sleep by combining multi-level information:
from genotype brain & liver transcriptomes
plasma metabolome sleep-wake phenome
with sleep deprivation as an ‘environmental’ challenge.
The BXD/RwwJ panel is a set of ~161 advanced recombinant inbred
(ARI) lines in which two fully sequenced genomes
(i.e., C57Bl/6J and DBA/2J) segregate
Peirce et al., BMC Genet 2004
Rob W. Williams @ UT Memphis
14. 1) Sleep-wake phenome (96h recording; n=261; 37 BXD lines, B6, D2, F1s)
325 phenotypes: sleep-wake state, EEG activity, locomotor activity
2) Transcriptome & metabolome (@ZT6; n=286)
RNA-seq 15.0K gene transcripts in cerebral cortex
12.5K in liver
Targeted metabolomics (124 from 4 compound classes) in blood plasma
3) Genotype maps using 11k SNPs from RNA-seq and
The experiment
29. Hypotheses:
Sleep restriction Acot11 free fatty acids type-2 diabetes risk
Sleep loss is associated with insulin resistance and increased risk for type 2 diabetes.
Increased circulating free fatty acids (NEFA) can lead to insulin resistance & metabolic
disease.
Sleep restriction resulted in:
• Increased NEFA during the nocturnal and early-morning hours.
• Decreased insulin sensitivity
• Insulin sensitivity correlates with NEFA
Increased free fatty acids may contribute to insulin resistance and the elevated
diabetes risk associated with sleep loss.
30. Results
Large effect of genetic back-ground on all levels
including the influence of sleep deprivation
“Many-to-many-to-many” instead of “1-to-1”
Strength for hypotheses building
Development of new analyses tools
e.g. gene prioritization, system genetics visualization, EEG annotation
Extracting ‘genotype’-independent biomarkers for sleep loss
Always more……
analyses:
Bayesian networks direction of the flow of information
Epistatic effects
levels:
Epigenomics
proteomics? mbiome?
Conclusion
31003A_173182
Genetic dissection of the epigenomic
consequences of sleep loss
32. Ioannis Xenarios
Nicolas Guex
Maxime Jan
Mark Ibberson
Frédéric Burdet
Jérôme Dauvillier
Robin Liechti
Marco Pagni
Shanaz Diessler
Yann Emmenegger
Charlotte Hor
Collaborators & Funding
Debra Skene
Benita Middleton
Patrick Gouait
Mathieu Piguet
Josselin Soyer
My group
CIG Animal caretakers
Lausanne Genomics Technologies Facility (GTF)
Keith Harshman
Manuel Bueno
Floriane Consales Barras
IECB
doctoral program
StarOmics
33.
34. AbsoluteIDQ p180 Kit (Biocrates Life Sciences)
quantifies up to 184 metabolites in 5 4
compound classes
Total of 124 metabolites used for further
analyses
Metabolite Class Biological Relevance #
acyl-Carnitines Energy metabolism, fatty acid
transport, mitochondrial fatty acid b-
oxidation, ketosis, oxidative stress,
mitochondrial membrane damage
8/40
Amino Acids Amino acid metabolism, urea cycle,
activity of gluconeogenesis and
glycolysis, insulin sensitivity/resistance,
neurotransmitter metabolism,
oxidative stress
20/21
Biogenic Amines Neurological disorders, cell
proliferation, cell cycle progression,
DNA stability, oxidative stress
7/21
Hexoses Carbohydrate metabolism 0/1
Phosphatidylcholines
(PCs)
Dyslipidemia, membrane composition
and damage, fatty acid profile, activity
of desaturases
67/73
Lyso-
Phosphatidylcholines
(lysoPCs)
Degradation of phospholipids
(phospholipase activity), membrane
damage, signalling cascades, fatty acid
profile
8/14
Sphingomyelins
(SMs)
Signalling cascades, membrane
damage (e.g., neurodegeneration)
14/14
Targeted metabolomics
Glycerophospholipids
X