Informatics

Teach Me in 10

The Cloud has become a preferred option for laboratory computing workloads, from sample management to advanced data analytics to secure data storage. It enables laboratory leaders to focus on the lab business objectives: data accuracy, faster turnaround time and decreased cost, all within a secure, compliant environment.

This Teach Me in 10 will explore how Cloud computing can be used for effective data management in research labs. This episode will focus on the benefits of Cloud computing for lab leaders and lab managers, and will highlight how different Cloud infrastructures and service models can address different research lab needs.

This is the final episode in a three-part series that make up the “Deploying Your Lab in the Cloud” mini-series.

Data Management Using the Cloud With Brian Rivera

The Cloud has become a preferred option for laboratory computing workloads, from sample management to advanced data analytics to secure data storage. It enables laboratory leaders to focus on the lab business objectives: data accuracy, faster turnaround time, and decreased cost, all within a secure, compliant environment.

This Teach Me in 10 will address some of the common concerns and misconceptions that lab leaders may face when moving their data to the Cloud. It will also explore the many benefits of Cloud computing, including increased productivity, process optimization, and the ability to further unlock data potential. 

This episode is the second of the three, which make up the Deploying Your Lab in the Cloud mini-series.

Cloud Misconceptions With Brian Rivera

The Cloud has become a preferred option for laboratory computing workloads, from sample management to advanced data analytics to secure data storage. It enables laboratory leaders to focus on the lab business objectives:  data accuracy, faster turnaround time, and decreased cost, all within a secure, compliant environment. 

This Teach Me in 10 will cover how the Cloud supports laboratories, including an overview of cloud deployment and service models. Additionally, it will explore how the Cloud can provide context to data, guiding better decisions at multiple levels. 

This episode is the first of the three, which make up the Deploying Your Lab in the Cloud mini-series.

Cloud Basics for the Lab Manager with Brian Rivera

Aging (Aging-US)

Aging-US published this trending research paper as the cover of Volume 14, Issue 19, entitled, "Centenarians consistently present a younger epigenetic age than their chronological age with four epigenetic clocks based on a small number of CpG sites" by researchers from the Laboratory for Genomics, Foundation Jean Dausset – CEPH, Paris, France; Laboratory of Excellence GenMed, Paris, France; Sorbonne Paris Nord University, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center Inserm U1153, Inrae U1125, Cnam, University of Paris (CRESS), Bobigny, France; Centre de Ressources Biologiques, CEPH Biobank, Foundation Jean Dausset – CEPH, Paris, France; Centre National de Recherche en Génomique Humaine, CEA, Institut François Jacob, Evry, France.

DOI - https://doi.org/10.18632/aging.204316

Corresponding author - Alexandre How-Kit - alexandre.how-kit@fjd-ceph.org 

Abstract

Aging is a progressive time-dependent biological process affecting differentially individuals, who can sometimes present exceptional longevity. Epigenetic alterations are one of the hallmarks of aging, which comprise the epigenetic drift and clock at DNA methylation level. In the present study, we estimated the DNA methylation-based age (DNAmage) using four epigenetic clocks based on a small number of CpGs in French centenarians and semi-supercentenarians (CSSC, n=214) as well as nonagenarians' and centenarians' offspring (NCO, n=143) compared to individuals from the French general population (CG, n=149). DNA methylation analysis of the nine CpGs included in the epigenetic clocks showed high correlation with chronological age (-0.66>R>0.54) and also the presence of an epigenetic drift for four CpGs that was only visible in CSSC. DNAmage analysis showed that CSSC and to a lesser extend NCO present a younger DNAmage than their chronological age (15-28.5 years for CSSC, 4.4-11.5 years for NCO and 4.2-8.2 years for CG), which were strongly significant in CSSC compared to CG (p-values<2.2e-16). These differences suggest that epigenetic aging and potentially biological aging are slowed in exceptionally long-lived individuals and that epigenetic clocks based on a small number of CpGs are sufficient to reveal alterations of the global epigenetic clock.

Sign up for free Altmetric alerts about this article - 
https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204316

Press release - https://www.aging-us.com/news_room/Centenarians-consistently-present-a-younger-epigenetic-age-than-their-chronological-age-with-four-epigenetic-clocks

Keywords - aging, epigenetic clock, DNAmage, centenarians, DNA methylation, pyrosequencing, longevity

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at https://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Paper Spotlight: French Cohort Shows Centenarians Consistently Present Younger Epigenetic Age

Low cost lab automation

You can increase lab productiviy using this autosampler for your microbalance. It works with any brand. Contact mcarvalh@scu.edu to discuss details.

Automate your microbalance - mcarvalh@scu.edu.au

Zendo Lims ( by SLCLAB)

Zendo Lims  (by SLCLAB)

ZENDO LIMS

Zendo Lims
Laboratory Management Information System in the Cloud

Zendo Lims - SLCLAB

KRÜSS GmbH

ADVANCE is the innovative, workflow-oriented, and ever-growing software platform for a wide range of KRÜSS instruments. This video gives you an insight of basic feature as well as the benefits your gain with regular upgrades. With the Software Assurance license model for ADVANCE you can be sure never to miss an upgrade so that new features support you even more in your measurements and their evaluation. With the Software Assurance contract, the regular upgrades come in a much more cost-effective way compared to purchasing upgrades.

ADVANCE | Software Assurance

Aging-US published this trending research paper in Volume 14, Issue 12, entitled, "Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability" by researchers from Deep Longevity Limited, Hong Kong; Insilico Medicine, Hong Kong; Buck Institute for Research on Aging, Novato, CA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

DOI - https://doi.org/10.18632/aging.204061

Corresponding author - Alex Zhavoronkov - alex@insilico.com

Abstract

In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204061

Keywords - aging, self-organizing maps, well-being, artificial intelligence, depression

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

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