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  • Make 1:1000 dilutions of column 1,46,8,11 10 from the PCR plates by adding 1 ul to 999 ul TE in a deep well plate:

 

1

2

3

4

5

6

7

8

9

10

11

12

A

BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

BS_AMF_Pool

 

NTC

NTC

NTC

B

 

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 BS_AMF_Pool

 

 

0.0002 pM Std

0.0002 pM Std

0.0002 pM Std

C

 

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 BS_AMF_Pool

 

 

0.002 pM Std

0.002 pM Std

0.002 pM Std

D

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

0.02 pM Std

0.02 pM Std

0.02 pM Std

E

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

0.2 pM Std

0.2 pM Std

0.2 pM Std

F

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

2 pM Std

2 pM Std

2 pM Std

G

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

20 pM Std

20 pM Std

20 pM Std

H

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

 

 

 

  • Add 16 ul of Illumina Library Quantification MasterMix to each well:

...

  • Add 4 ul of template, pool, or standards to each well:

...

 

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...

2

...

3

...

4

...

5

...

6

...

7

...

8

...

9

...

10

...

11

...

 

1

2

3

4

5

6

7

8

9

10

11

12

AS1

BS_PLT1_ACol1S2

BS_PLT1_ACol6S3

BS_PLT1_ACol10S4

BS_PLT2_ACol1S5

BS_PLT2_ACol6S6

BS_PLT2_ACol10S7

BS_AS8AMF_APool

 

NTC

NTC

NTC

B

 

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

BS_AMF_Pool

 

 

0.0002 pM Std

0.0002 pM Std

0.0002 pM Std

C

 

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

BS_AMF_Pool

 

 

0.002 pM Std

0.002 pM Std

0.002 pM Std

D

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

0.02 pM Std

0.02 pM Std

0.02 pM Std

E

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

0.2 pM Std

0.2 pM Std

0.2 pM Std

F

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

2 pM Std

2 pM Std

2 pM Std

G

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

20 pM Std

20 pM Std

20 pM Std

H

 

 

 

 

 

 BS_PLT1_Col1

BS_PLT1_Col6

BS_PLT1_Col10

BS_PLT2_Col1

BS_PLT2_Col6

BS_PLT2_Col10

 

 

 

 

 

 

Results:

View file
nameBS_AMF.csv

...

The pool via standard size estimation returned a mean of 42.66 nM. This should be adjusted for the difference between the standards' fragment sizes and the expected product size (452 vs 481). 42.66x(452/481) = 40.087 or ~40 nM

Sequencing Test:

Dilute to 1 nM based off qPCR results. qPCR results are in pM, but 1:1000 dilution used. The results are effectively in nM for pool.

  • 1000/Results = ul of Pool to Add

1000/40 = 25uL of Pool to Add

  • 1000 - uL of Pool to Add = ul of “10 mM Tris 8.5” to Add

1000- 25 = 975 uL of 10mM Tris 8.5

Dilute 1 nM full pool to loading concentration of 50 pM:

  • Add 5 ul 1 nM Pool to 85 ul “10 mM Tris 8.5” and 10 ul 50 pM PhiX

  • Remove iSeq 100 i1 Flow Cell from refrigerator 5’s crisper drawer and open white foil pack and allow to equilibrate to RT for 10-15 minutes.

  • Open “iSeq 100 i1 Reagent Cartridge v2”. Turn on iSeq100

  • Click on “Sequence”. Watch Video. Do what video tells you to do. Follow on screen instructions until run starts.

Pooling for CU sequencing:

Code Block
library(tidyverse)
AmfReads <- read.csv("/Users/gregg/Downloads/AMF1_Test_filtermergestats.csv", header = FALSE)
Map <- read.csv("/Users/gregg/Downloads/Bo_Stevens_Sample_Positions.csv", header=TRUE)
Map <- Map[,c(1,2,4)]
Map$order <- c(1:96, 1:92)
AMFmeta <- data.frame(do.call('rbind', strsplit(as.character(AmfReads$V1),'.',fixed=TRUE)))
AmfReads <- cbind(AMFmeta$X2, AmfReads[,2:4])
names(AmfReads) <- c("Sample.ID", "Reads", "Reads2", "Reads3")
AmfReads <- inner_join(AmfReads, Map, by = "Sample.ID")
LowAmf <- AmfReads[ which(AmfReads$Reads < 500),]
write.csv(LowAmf, "/Users/gregg/Downloads/LowAmf.csv", quote = FALSE, row.names = FALSE)

AMF1_Test_filtermergestats.csv Bo_Stevens_Sample_Positions.csv

Sample.ID

Reads

Reads2

Reads3

Plate.Position

Plate

order

A26

35

26

18

A9

2

65

A27

42

20

15

B9

2

66

A29

16

7

4

C9

2

68

A30

36

24

11

D9

2

69

A31

40

20

15

E9

2

70

A32

28

18

11

F9

2

71

A34

36

12

8

G9

2

73

A35

34

18

10

H9

2

74

B3

392

248

149

G11

2

91

L108

77

47

32

F4

1

30

L54

70

33

19

F7

1

54

L88

416

236

143

A4

1

25

LB1

104

51

34

A2

1

9

LB2

164

107

45

F3

1

22

LB3

70

35

20

C5

1

35

LB4

308

194

159

H6

1

48

LB5

310

169

129

E8

1

61

LB6

118

68

50

B10

1

74

LB7

374

219

161

G11

1

87

Since the test sequencing included all samples, we are adjusting pooling for samples that both replicates returned less than 500 reads each. These samples will be pooled at a volume of 20 ul while all others will be pooled at 2 ul. 2 ul from all was combined into one column of strip tubes. 18 ul was added by well pattern above. Tubes were vortexed and centrifuged. 100 ul was added from each strip tube to a 1.5 ml tube which was vortexed and centrifuged before 40 ul was transferred to a tube for shipping.