Difference between revisions of "Part:BBa K4815006:Experience"
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===Applications of BBa_K4815006=== | ===Applications of BBa_K4815006=== | ||
| + | We utilized the obtained PYPH7 to drive the expression of the mucosal vaccine adjuvant LTB downstream in yeast, resulting in the fusion protein of LTB and GFP. The expression level of this fusion protein was quantitatively analyzed using flow cytometry, and expression analysis was conducted at both the transcriptional and translational levels. The results are as follows: | ||
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| + | Using GAPDH as an internal control ,we quantify the expression intensity of LTB-eGFP as Intensity[LTB-eGFP]/intensity[GAPDH]. The above figure illustrates that expression driven by our Pymaker generated promoter is significantly higher than natural promoters(p = 0.016), and PYPH7-driving expression is 5.18 times higher than natural promoters (as is shown in the result page of our team). | ||
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| + | We then checked the quantitative gene expression levels using quantitative RT-PCR, and the results indicated that our generated promoters drive a much higher transcript accumulation than natural promoters. The result gives a strong validation that it is our generated promoters that play a fundamental role in driving a extremely high promoter sequences. | ||
===User Reviews=== | ===User Reviews=== | ||
Latest revision as of 13:23, 12 October 2023
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Applications of BBa_K4815006
We utilized the obtained PYPH7 to drive the expression of the mucosal vaccine adjuvant LTB downstream in yeast, resulting in the fusion protein of LTB and GFP. The expression level of this fusion protein was quantitatively analyzed using flow cytometry, and expression analysis was conducted at both the transcriptional and translational levels. The results are as follows:
Using GAPDH as an internal control ,we quantify the expression intensity of LTB-eGFP as Intensity[LTB-eGFP]/intensity[GAPDH]. The above figure illustrates that expression driven by our Pymaker generated promoter is significantly higher than natural promoters(p = 0.016), and PYPH7-driving expression is 5.18 times higher than natural promoters (as is shown in the result page of our team).
We then checked the quantitative gene expression levels using quantitative RT-PCR, and the results indicated that our generated promoters drive a much higher transcript accumulation than natural promoters. The result gives a strong validation that it is our generated promoters that play a fundamental role in driving a extremely high promoter sequences.
User Reviews
UNIQ9951be4a0c8cad98-partinfo-00000000-QINU UNIQ9951be4a0c8cad98-partinfo-00000001-QINU