SILS Presentation

•Download as PPTX, PDF•

0 likes•1,300 views

Hannah Ajmani

Technology

Genetically Engineered Mycelium for
Biomaterials Development
By Arun Chakravorty and Eric Holmes

• International Genetically Engineered
Machines
• Standardization of genetic parts using
“BioBricks”
• Development and expansion of genetic
parts registry
• Annual competitions in October and
November

• Developed collaboration
with Ecovative.
• Company that creates
Styrofoam substitute using
fungal mycelium
• Hope to use synthetic
biology to improve
marketability

Chassis
• Ganoderma
lucidum
• Higher order
basidiomycete
• Sequenced in 2012
• Reported to have
medicinal
properties

Goals
• Improve product via introduction of several
biological plasmid constructs.
• Antifungal constructs to eliminate
fungal contaminants
o Provide fungal species
opportunity to outcompete
fungal contaminants
• Carotenoid pigment pathways to make
product more appealing
• Develop fungal toolkit

Homologous Recombination
• Integrate linearized plasmids via natural
homologous recombination
Figure from Gene Bridges

Gibson Assembly
• Used for cloning in genes
with internal cut sites
• Uses polymerase,
5’ exonuclease, and
ligase in simultaneous
reaction
Photo from Integrated
DNA Technologies

Site-Directed Mutagenesis
• Introduce silent mutations
• Used on genes with internal restriction sites
Image from Agilent Technologies
Thermal
Cycling
DpnI
Digestion
Transformation

Promoter Problems
• Fungal promoters are very long
o E.coli has a check system where it splices
out potential duplications
• Very few identified Ganoderma promoters
• Potential solution: use T7 bacteriophage
promoter/polymerase
Image credit: Thomas Splettstoesser

Acknowledgments
• Weill Institute
• Cornell Institute for
Biotechnology & Life
Sciences Technology
• College of Engineering
• Turgeon Lab
• Corning
• Geneious
• The entire Cornell iGEM
team

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Histor y of HAM Radio presentation slide

vu2urc

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

apidays

Recently uploaded (20)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

[2024]Digital Global Overview Report 2024 Meltwater.pdf

Strategies for Landing an Oracle DBA Job as a Fresher

What Are The Drone Anti-jamming Systems Technology?

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Boost PC performance: How more available memory can improve productivity

A Domino Admins Adventures (Engage 2024)

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

🐬 The future of MySQL is Postgres 🐘

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

How to Troubleshoot Apps for the Modern Connected Worker

Finology Group – Insurtech Innovation Award 2024

Artificial Intelligence: Facts and Myths

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Histor y of HAM Radio presentation slide

AWS Community Day CPH - Three problems of Terraform

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

SILS Presentation

1. Genetically Engineered Mycelium for Biomaterials Development By Arun Chakravorty and Eric Holmes

2. • International Genetically Engineered Machines • Standardization of genetic parts using “BioBricks” • Development and expansion of genetic parts registry • Annual competitions in October and November

3. • Developed collaboration with Ecovative. • Company that creates Styrofoam substitute using fungal mycelium • Hope to use synthetic biology to improve marketability

4. Chassis • Ganoderma lucidum • Higher order basidiomycete • Sequenced in 2012 • Reported to have medicinal properties

5. Goals • Improve product via introduction of several biological plasmid constructs. • Antifungal constructs to eliminate fungal contaminants o Provide fungal species opportunity to outcompete fungal contaminants • Carotenoid pigment pathways to make product more appealing • Develop fungal toolkit

6. Homologous Recombination • Integrate linearized plasmids via natural homologous recombination Figure from Gene Bridges

7. Gibson Assembly • Used for cloning in genes with internal cut sites • Uses polymerase, 5’ exonuclease, and ligase in simultaneous reaction Photo from Integrated DNA Technologies

8. Constructs

9. Site-Directed Mutagenesis • Introduce silent mutations • Used on genes with internal restriction sites Image from Agilent Technologies Thermal Cycling DpnI Digestion Transformation

10.

11. Promoter Problems • Fungal promoters are very long o E.coli has a check system where it splices out potential duplications • Very few identified Ganoderma promoters • Potential solution: use T7 bacteriophage promoter/polymerase Image credit: Thomas Splettstoesser

12. Constructs

13. Acknowledgments • Weill Institute • Cornell Institute for Biotechnology & Life Sciences Technology • College of Engineering • Turgeon Lab • Corning • Geneious • The entire Cornell iGEM team

14. Thank you for listening!

Editor's Notes

Things to say: Talk about what a “biobrick” is and how it helps standardize. All biobricks are submitted to the registry. Regional and international competitions
Talk a little bit about how they grow the material to get a better idea of how contamination occurs.
Carotenoid pathway: DMAP dimethylaminopyridine is primary metabolite

SILS Presentation

Recommended

Recommended

More Related Content

Similar to SILS Presentation

Similar to SILS Presentation (20)

Recently uploaded

Recently uploaded (20)

SILS Presentation

Editor's Notes