Difference between revisions of "Summer 2012 SynBio Project (Davidson and MWSU)"

Revision as of 18:09, 30 May 2012

1. Davidson Protocols
   
2. MWSU_protocols
   
3. GCAT-alog Freezer Stocks
   
4. Laboratory_Notebooks
   
5. Golden Gate
   

Student Proposals from Ind. Studies

• Erich Baker Proposal: Media:Erich_Baker_proposal.docx This proposal deals with Phytochromes and Light Sensitive Channel Proteins

-I think the use of Phytochromes might be a good way to have either a continual stimulus that would repress/express certain genes that could be turned off and on depending on what we want them to do. There are other aspects of the research in this proposal that if not used outright, could be adapted to our continuing projects as either controls or feedback mechanisms. As for the proposed Salis RBS sites, I would like to see more information in the efficacy of the predicted RBS sequence. Possibly if we could use some of the C-Dog information based on a few known sequences to determine if the computer can predict those RBS's we know to be effective then we might be able to count on the calculator as a tool for our experimental design. -Caleb Carr

• Ben Clarkson Proposal: Media:Ben_Clarkson_proposal.docx
• Duke DeLoache Proposal: Media:Duke_DeLoache_Proposal.docx
• Becca Evans Proposal: Media:Becca_Evans_proposal.docx
• Ellen Johnson Proposal: Media:Ellen_Johnson_proposal.docx

PPT Presentations

• This PPT file contains all the slides from student presentations addressing the idea proposed by MWSU.
  

Media:Reports_on_Circuits.pptx

• This PPT contains slides summarizing some of the best and most complicated papers from Week 11.
  

Media:Week_11.pptx

Papers

Methods Papers

• DNA assembly for synthetic biology: from parts to pathways and beyond
  

Tom Ellis, Tom Adieac and Geoff S. Baldwin
Integr. Biol., 2011, 3, 109–118

• data sheets for standardized parts.

• Everyone should watch this 5 minute video on optogenetics. Combine that video with the 2010 champoinship iGEM invention of E. glowi.

Older Lab Papers

• Engineering bacteria to solve the Burnt Pancake Problem.
  

Haynes, Karmella, et al.
Journal of Biological Engineering. Vol. 2(8): 1 – 12.

• Solving a Hamiltonian Path Problem with a Bacterial Computer.
  

Baumgardner, Jordan et al.
Journal of Biological Engineering. Vol. 3:11

• Bacterial Hash Function Using DNA-Based XOR Logic Reveals Unexpected Behavior of the LuxR Promoter.
  

Brianna Pearson*, Kin H. Lau* et al.
Interdisciplinary Bio Central. Vol. 3, article no. 10.
Time Delayed Growth Movie

Network Papers

• Noise in Gene Expression: Origins, Consequences, and Control
  

Jonathan M. Raser and Erin K. O’Shea
Science. Vol. 309, page 2010

Please post pdf.

• Synthetic Biology: Integrated Gene Circuits
  

Nagarajan Nandagopal and Michael B. Elowitz
Science. Vol. 333, page 1244.

Please post pdf.

• Network Motifs: Simple Building Blocks of Complex Networks
  

R. Milo, S. Shen-Orr, et al
Science. Vol. 298, page 824.

Please post pdf.

• Controllability of complex networks
  

Yang-Yu Liu, Jean-Jacques Slotine, & Albert-La ́szlo ́ Baraba ́si
Nature. 2011. Vol. 473, page 167.

Please post pdf.

Ethics Papers

• Talking the Talk
  

Colin Mcilswain
Nature. Vol 465, page 867.

• Word selection affects perceptions of synthetic biology. Brianna Pearson, Sam Snell, Kyri Bye-Nagel, Scott Tonidandel, Laurie J Heyer, and A Malcolm Campbell.

-This paper does a great job at highlighting the importance of socio-political legitimation in the funding of science. It seems that all new sciences must survive a period during which their only funding comes from public sources under the condition that those conducting it can make some kind of promises of future benefit to the society as a whole. After proving itself not only useful but also profitable, private money may then start flowing in, though by that point, the nature of that field may arguably have changed for better or worse. I think we would all agree that synthetic biology holds more promise than we can currently even imagine, both for advancing the public good and for providing opportunity for profit (in more than just pharmaceuticals), but it's not enough for us to believe it. Those of us who will someday pursue grants and/or private investments in synthetic biology must learn to speak not only the rational language of the science of synthetic biology but also the politically-driven language of the social benefits of synthetic biology, the socially conscious language of the ethics of synthetic biology, and the profit-driven language of the (future) business of synthetic biology (and possibly others). -Eddie Miles

• Read "Moral" ethics paper on synthetic biology. Media:Moral.pdf

• Read "Future" ethics paper on synthetic biology. Media:Future.pdf

Questions to Consider About Network Pathways

• Are they naturally occurring or synthetic?

• Do they involve screening or selection?

• Are they anabolic or catabolic?

• How many steps are in each pathway?

• How can they relate to cell fitness?

• What specific challenges would need to be addressed if we worked with the pathway?

Network Pathways Chart

Cellular Automata

• [1] General CA introduction
• [2], [3] Elementary Cellular Automata
• [4] Good explanation of how elementary CAs work
• [5] Rule 110

• iGEM Team Groningen
• iGEM Team IPN-UNAM Mexico
• MIT 2011 iGEM Tissue Design
• In Vivo Cellular Automata
• Edge Detection PDF
• Patterning of E. coli
• Tunable Bacterial Band-Pass Filter
• E. coli Predator-Prey Ecosystem
• Multicellular System for Programmed Pattern Formation

Peptides

• Pep-1 can carry large amounts of cargo across cell membrane
• Pep-1 has no anti-microbial activity against E. coli, see page 121
• [6]General Manual for CPP After opening, click on the PDF General Manual for detailed information concerning Cellular Permeating Peptides, and products of the like.
• General info on Pep-1
• Very clear, easy to read, discussion on how CPPs work, and more specific info on Pep-1, look in Chapter 1 to start
• Pep-1 is a synthetic peptide
• Pep-1 fusion protein made in E. coli
• Targeting proteins to E. coli periplasmic space (GFP)
• Review of targeting proteins to periplasm

Environmental factors that enhance the action of the cell penetrating peptide pep-1 - A spectroscopic study using lipidic vesicles [[7]]

Assembly and Library

[8]iGEM Introduction to Gibson Assembly

[9]Enzymatic assembly of DNA molecules up to several hundred kilobases

[10] Supplemental Methods for Enzymatic assembly of DNA molecules up to several hundred kilobases

[11] LIBRARY: Degradation Tags with Gfp protein reporters - research paper

[12]Assembly of BioBricks by the Gibson Method

Selection Modules

• Bad-ish genes/proteins
  • Toxicity of rat insulin gene on E.coli
  • SacB gene with sucrose and E.coli
  • Hda-mediated homeostasis in E.coli
  • Lon protease from M.smegmatis
  • SinI enzyme has moderate growth-inhibition in E.coli
  • Excess violecein production toxic to E.coli
  • ToxN inhibits growth of E.coli
  • Eukaryotic membrane proteins toxic to E.coli
• Good genes/proteins
  • Tet-resistance in E.coli

Light

• Review of types and mechanisms of light-gated ion channels (2006)
• Channelrhodopsins
• Halorhodopsin (NpHR)
• p. 117: ChR2 doesn't express in E. coli?

Other Ideas

• Networks (Modeling Focused)
  • Field might be kind of saturated; it seems like a lot of work has been done.
    • But not with netLogo. How could that work?
  • RePast: another ABM suite that might be mroe suited to networks [13]
  • General
    • Network motifs in the transcriptional regulation network of Escherichia coli
    • [14] Gene Regulatory Network wikipedia page
    • [15] long dissertation on modeling GRNs
    • Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles
  • Process Calculus
    • [16] Process Calculus wikipedia page
    • [BioAmbients: An abstraction for biological compartments Process Calculi for bio modelling; might be at the level of cells as opposed to genes etc.
  • Boolean Networks
    • [17] Boolean Network wiki page; elementary CA are special cases of Boolean networks
    • Boolean modeling of GRNs
    • 'The regulatory network of E. coli metabolism as a Boolean dynamical system exhibits both homeostasis and flexibility of response
    • Or-Not Logic Gate with E.Coli
  • Dynamical Systems
    • Discrete dynamical system modelling for gene regulatory networks of 5-hydroxymethylfurfural tolerance for ethanologenic yeast
    • A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast
• Flux Balance Analysis
  • Dynamic Flux Balance Analysis of Diauxic Growth in Escherichia coli
• Agent Based Models/Chaos
  • [18] Set of lecture slides on chaos, including one on ABMs.

• Real Computing/Complexity
  • [19] Lecture transcripts from two MIT courses on compleity by a very smart guy in the field
  • [20] Review of physical computing by the same researcher
  • [21] Part of a textbook on computation theory
  • [22] Harvard analog computing

Communication

• Gas-Phase Communication
  • Biopixel Paper
  • ArcAB system in V. fischeri Includes promoter sequences
  • ArcAB system in E. Coli
  • ArcAB system Responses to Hydrogen Peroxide in E. coli
  • Amino Acid Sequence for ArcA in E. Coli
  • Amino Acid Sequence for ArcB in E. Coli
  • Amino Acid Sequence for ArcA in V. Fischeri
  • Blast Amino Acid Sequence Comparison for ArcA in E. coli and V. fischeri
  • Blast Amino Acid Sequence Comparison for ArcB in E. coli and V. fischeri
  • Potential Promoters that ArcA Might Bind To in E. Coli
  • More Potential Promoters that ArcA Might Bind To in E. Coli-fad regulon
• Bacterial Conjugation
  • Conjugative transfer of antibiotic resistance
  • Molecular basis for control of conjugation
  • Contour length of F-pili
  • Male-Specific Bacteriophages to inhibit mating

Neural Networks

• [23]

General

• Workshop Summary of Applications of Synthetic Biology