# Difference between revisions of "Cell cycle analysis"

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## Revision as of 00:48, 18 August 2008

**Cell cycle analysis of Escherichia coli cells**

C period = the time for a round of chromosome replication

D period = the time between the end of a round of chromosome replication and cell division

**1.Determination of initiation age (a**:

_{i}) and C+DFrom flow cytometry analysis of cells treated with rifampicin and cephalexin (run-out histogram) the proportions of cells that had not initiated replication at the time of drug action (4-origin-cells, streaked) and cells that had initiated (8-origin-cells) can be estimated.The initiation age (a_{i}) can be found from the theoretical age distribution described by this formula,

**F = 2 - 2 ^{((τ-ai)/τ)}**

where F is the fraction of cells that had not initiated and τ is the generation time, or from the estimated graph of the theoretical age distribution (streaked portion).

The C+D period is estimated from the initiation age (a_{i}), the generation time (τ) and the number of generations spanned per cell cycle.

Example:

4-origin-cells: 23 %

Generation time (τ): 27 min

Initiation age (a_{i}): 5 min

**2. Determination of the C and D periods:**

The C period is found from the *oriC/terC* ratio obtained by Southern blot analysis and the generation time (τ):

*oriC/terC*=2^{C/τ}

The D period is found from the C+D and C period:

**D = (C+D) - C**

Example (continues):

C period calculated from the *oriC/terC* ratio: 49 min

D period = (C+D) – C

D period = 76 min – 49 min = 27 min

**3. The theoretical exponential DNA histogram:**

A theoretical exponential DNA histogram can be drawn to check whether the obtained values fit with the experimental data. From the C+D period the DNA content of the cells at different time points in the cell cycle can be calculated.

Example:

The individual values of C and D can be varied

to obtain a shape of the theoretical histogram

that gives the best fit to the experimental histogram.

**4. Calculation of the average number of replication forks when D=τ:**

In the example given above, 23% of the cells contain 4 replication forks (4-origin peak in run-out histogram) and 77% contain 12 replication forks (8-origin peak), hence the average number of replication forks in the cell population will be:

(4 x 0.23) + (12 x 0.77) = 10.2 forks

**5. Calculation of the average number of replication forks when D≠τ:**

Example:

4-origin-cells: 23%

8-origin-cells: 77%

τ = 27 min

a_{i} = 5 min

C = 51 min

D = 25 min

C+D = 76 min