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Team:Paris Saclay/Notebook/July/17
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=Thursday 17th July= | =Thursday 17th July= | ||
==Lab work== | ==Lab work== | ||
| - | ===1 - Preparation of supercompetent cells=== | + | ===The chassis coli Odor free=== |
| + | ====1 - Preparation of supercompetent cells==== | ||
''By Mathias & Romain'' | ''By Mathias & Romain'' | ||
| Line 9: | Line 10: | ||
[https://2014.igem.org/Team:Paris_Saclay/Protocols/Transformation_of_supercompetent_Ecoli_cells_with_CaCl2 Protocol] | [https://2014.igem.org/Team:Paris_Saclay/Protocols/Transformation_of_supercompetent_Ecoli_cells_with_CaCl2 Protocol] | ||
| - | ===2 - Bacterial Culture=== | + | ====2 - Bacterial Culture==== |
''by Fabio and Maher'' | ''by Fabio and Maher'' | ||
2 liquid cultures with 5ml of LB and 5µl of amp (at 9am - 37°C - 150 rpm), both BBa_J23119 from the concentrated colony made the [https://2014.igem.org/Team:Paris_Saclay/Notebook/July/16 16th July] | 2 liquid cultures with 5ml of LB and 5µl of amp (at 9am - 37°C - 150 rpm), both BBa_J23119 from the concentrated colony made the [https://2014.igem.org/Team:Paris_Saclay/Notebook/July/16 16th July] | ||
| - | ===3 - PCR and Electrophoresis=== | + | ====3 - PCR and Electrophoresis==== |
[[File:Electrophoresis_17.07.2014.jpg|400px|right]] | [[File:Electrophoresis_17.07.2014.jpg|400px|right]] | ||
''by Arnaud & Mathias'' | ''by Arnaud & Mathias'' | ||
| Line 31: | Line 32: | ||
[https://2014.igem.org/Team:Paris_Saclay/Protocols/Gel_Electrophoresis Protocol] | [https://2014.igem.org/Team:Paris_Saclay/Protocols/Gel_Electrophoresis Protocol] | ||
| - | + | ==Modeling== | |
| - | == | + | ====Study of bacterial population growth in space and time==== |
| - | ===Study of bacterial population growth in space and time=== | + | |
[[File:Book.jpg|100px|left]] | [[File:Book.jpg|100px|left]] | ||
''by Pierre & Juliette'' | ''by Pierre & Juliette'' | ||
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We have finished to study a first model for our problem. It is a simple birth/death model and we do a mix of deterministic and stochastic model in order to be most precise as possible. | We have finished to study a first model for our problem. It is a simple birth/death model and we do a mix of deterministic and stochastic model in order to be most precise as possible. | ||
| - | We have focused our study on this (excellent !) book : '' | + | We have focused our study on this (excellent !) book : ''Modeling Biological Populations in Space and Time'' |
by '''Eric Renshaw''', and especially on chapters 1, 2 and 3. | by '''Eric Renshaw''', and especially on chapters 1, 2 and 3. | ||
We now hope to succeed improving our model to be more realistic ! | We now hope to succeed improving our model to be more realistic ! | ||
| + | |||
| + | |||
| + | ==Photo of the Day== | ||
| + | [[File:Paris Saclay 17_july.jpg|600px|center]] | ||
'''Members present:''' | '''Members present:''' | ||
Latest revision as of 13:57, 17 October 2014
Contents |
Thursday 17th July
Lab work
The chassis coli Odor free
1 - Preparation of supercompetent cells
By Mathias & Romain
Strains used: MG1655 (x2), MG1655Z1 (x2).
2 - Bacterial Culture
by Fabio and Maher
2 liquid cultures with 5ml of LB and 5µl of amp (at 9am - 37°C - 150 rpm), both BBa_J23119 from the concentrated colony made the 16th July
3 - PCR and Electrophoresis
by Arnaud & Mathias
PCR targeting with oligos IPS70 and IPS71 of pOSV230 (Apramycine).
- Molecular weight marker 1kb
- Empty
- IPS70 and IPS71 (1)
- IPS70 and IPS71 (2)
Results:
Failure, no PCR products.
Modeling
Study of bacterial population growth in space and time
by Pierre & Juliette
We have finished to study a first model for our problem. It is a simple birth/death model and we do a mix of deterministic and stochastic model in order to be most precise as possible.
We have focused our study on this (excellent !) book : Modeling Biological Populations in Space and Time by Eric Renshaw, and especially on chapters 1, 2 and 3.
We now hope to succeed improving our model to be more realistic !
Photo of the Day
Members present:
- Instructors and advisors: Alice and Solenne.
- Students: Arnaud, Fabio, Juliette, Maher, Marie, Mathias, Mathieu, Pierre, Romain and Sean.
