Development and Performance Evaluation of TaqMan Real-time Fluorescence Quantitative Methylation Specific PCR for Detecting Methylation Level of PER2 Article Swipe
Huihui Jiang
,
Xin Yang
,
Miaomiao Mi
,
Xiaonan Wei
,
Hongyuan Wu
,
Xin Yu
,
Liping Jiao
,
Shengjun Sun
,
Chengming Sun
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-844684/v1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-844684/v1
Background: PER2 gene methylation is closely related to the occurrence and progress of some cancers, but there is no method to quantitatively detect PER2 methylation in conventional laboratories. So, we established a TaqMan real-time fluorescence quantitative methylation specific PCR (TaqMan real-time FQ-MSP) assay and use it for quantitative detection of PER2 methylation in leukemia patients. Methods: According to the PER2 sequence searched by GenBank, a CpG sequence enrichment region of the PER2 gene promoter was selected, and the methylated and unmethylated target sequences were designed according to the law of bisulfite conversion of DNA to construct PER2 methylation positive and negative reference materials. Specific primers and probe were designed. The reference materials were continuously diluted into gradient samples by 10-fold ratio to evaluate the analytical sensitivity, specificity,accuracy and reproducibility of the method, and the analytical sensitivity of TaqMan real-time FQ-MSP assay was compared with that of the conventional MSP assay. At the same time, the new-established TaqMan real-time FQ-MSP assay and the conventional MSP assay were used to detect the PER2 methylation level of 81 patients with leukemia, and the samples with inconsistent detection results of the two assays were sent to pyromethylation sequencing to evaluate the clinical detection performance . Results: The minimum detection limit of TaqMan real-time FQ-MSP assay for detecting PER2 methylation level established in this study was 6 copies/uL, and the coefficient of variation(CV) of intra-assay and inter-assay was less than 3%. Compared with the conventional MSP assay, it has higher analytical sensitivity. For the samples with inconsistent detection results, the results of pyrosequencing and TaqMan real-time FQ-MSP assay are consistent. Conclusion: TaqMan real-time FQ-MSP assay of PER2 methylation established in this study has high detection performance and can be used for the detection of clinical samples.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-844684/v1
- https://www.researchsquare.com/article/rs-844684/latest.pdf
- OA Status
- green
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4250838324
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Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4250838324Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-844684/v1Digital Object Identifier
- Title
-
Development and Performance Evaluation of TaqMan Real-time Fluorescence Quantitative Methylation Specific PCR for Detecting Methylation Level of PER2Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-22Full publication date if available
- Authors
-
Huihui Jiang, Xin Yang, Miaomiao Mi, Xiaonan Wei, Hongyuan Wu, Xin Yu, Liping Jiao, Shengjun Sun, Chengming SunList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-844684/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-844684/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-844684/latest.pdfDirect OA link when available
- Concepts
-
TaqMan, Methylation, Real-time polymerase chain reaction, Computational biology, Molecular biology, Biology, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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35Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.use | 45 |
| abstract_inverted_index.was | 75, 142, 221, 233 |
| abstract_inverted_index.PER2 | 2, 24, 51, 60, 72, 97, 171, 214, 272 |
| abstract_inverted_index.gene | 3, 73 |
| abstract_inverted_index.high | 279 |
| abstract_inverted_index.into | 116 |
| abstract_inverted_index.less | 234 |
| abstract_inverted_index.same | 153 |
| abstract_inverted_index.sent | 191 |
| abstract_inverted_index.some | 14 |
| abstract_inverted_index.than | 235 |
| abstract_inverted_index.that | 145 |
| abstract_inverted_index.this | 219, 276 |
| abstract_inverted_index.used | 167, 285 |
| abstract_inverted_index.were | 84, 108, 113, 166, 190 |
| abstract_inverted_index.with | 144, 177, 182, 238, 251 |
| abstract_inverted_index.assay | 43, 141, 160, 165, 211, 263, 270 |
| abstract_inverted_index.level | 173, 216 |
| abstract_inverted_index.limit | 206 |
| abstract_inverted_index.probe | 107 |
| abstract_inverted_index.ratio | 121 |
| abstract_inverted_index.study | 220, 277 |
| abstract_inverted_index.there | 17 |
| abstract_inverted_index.time, | 154 |
| abstract_inverted_index.FQ-MSP | 140, 159, 210, 262, 269 |
| abstract_inverted_index.TaqMan | 33, 138, 157, 208, 260, 267 |
| abstract_inverted_index.assay, | 242 |
| abstract_inverted_index.assay. | 150 |
| abstract_inverted_index.assays | 189 |
| abstract_inverted_index.detect | 23, 169 |
| abstract_inverted_index.higher | 245 |
| abstract_inverted_index.method | 20 |
| abstract_inverted_index.region | 69 |
| abstract_inverted_index.target | 82 |
| abstract_inverted_index.(TaqMan | 40 |
| abstract_inverted_index.10-fold | 120 |
| abstract_inverted_index.FQ-MSP) | 42 |
| abstract_inverted_index.closely | 6 |
| abstract_inverted_index.diluted | 115 |
| abstract_inverted_index.method, | 132 |
| abstract_inverted_index.minimum | 204 |
| abstract_inverted_index.primers | 105 |
| abstract_inverted_index.related | 7 |
| abstract_inverted_index.results | 185, 256 |
| abstract_inverted_index.samples | 118, 181, 250 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Compared | 237 |
| abstract_inverted_index.GenBank, | 64 |
| abstract_inverted_index.Methods: | 56 |
| abstract_inverted_index.Results: | 202 |
| abstract_inverted_index.Specific | 104 |
| abstract_inverted_index.cancers, | 15 |
| abstract_inverted_index.clinical | 198, 290 |
| abstract_inverted_index.compared | 143 |
| abstract_inverted_index.designed | 85 |
| abstract_inverted_index.evaluate | 123, 196 |
| abstract_inverted_index.gradient | 117 |
| abstract_inverted_index.leukemia | 54 |
| abstract_inverted_index.negative | 101 |
| abstract_inverted_index.patients | 176 |
| abstract_inverted_index.positive | 99 |
| abstract_inverted_index.progress | 12 |
| abstract_inverted_index.promoter | 74 |
| abstract_inverted_index.results, | 254 |
| abstract_inverted_index.samples. | 291 |
| abstract_inverted_index.searched | 62 |
| abstract_inverted_index.sequence | 61, 67 |
| abstract_inverted_index.specific | 38 |
| abstract_inverted_index.According | 57 |
| abstract_inverted_index.according | 86 |
| abstract_inverted_index.bisulfite | 91 |
| abstract_inverted_index.construct | 96 |
| abstract_inverted_index.designed. | 109 |
| abstract_inverted_index.detecting | 213 |
| abstract_inverted_index.detection | 49, 184, 199, 205, 253, 280, 288 |
| abstract_inverted_index.leukemia, | 178 |
| abstract_inverted_index.materials | 112 |
| abstract_inverted_index.patients. | 55 |
| abstract_inverted_index.real-time | 34, 41, 139, 158, 209, 261, 268 |
| abstract_inverted_index.reference | 102, 111 |
| abstract_inverted_index.selected, | 76 |
| abstract_inverted_index.sequences | 83 |
| abstract_inverted_index.analytical | 125, 135, 246 |
| abstract_inverted_index.conversion | 92 |
| abstract_inverted_index.copies/uL, | 223 |
| abstract_inverted_index.enrichment | 68 |
| abstract_inverted_index.materials. | 103 |
| abstract_inverted_index.methylated | 79 |
| abstract_inverted_index.occurrence | 10 |
| abstract_inverted_index.sequencing | 194 |
| abstract_inverted_index.Background: | 1 |
| abstract_inverted_index.Conclusion: | 266 |
| abstract_inverted_index.coefficient | 226 |
| abstract_inverted_index.consistent. | 265 |
| abstract_inverted_index.established | 31, 217, 274 |
| abstract_inverted_index.inter-assay | 232 |
| abstract_inverted_index.intra-assay | 230 |
| abstract_inverted_index.methylation | 4, 25, 37, 52, 98, 172, 215, 273 |
| abstract_inverted_index.performance | 200, 281 |
| abstract_inverted_index.sensitivity | 136 |
| abstract_inverted_index.continuously | 114 |
| abstract_inverted_index.conventional | 27, 148, 163, 240 |
| abstract_inverted_index.fluorescence | 35 |
| abstract_inverted_index.inconsistent | 183, 252 |
| abstract_inverted_index.quantitative | 36, 48 |
| abstract_inverted_index.sensitivity, | 126 |
| abstract_inverted_index.sensitivity. | 247 |
| abstract_inverted_index.unmethylated | 81 |
| abstract_inverted_index.laboratories. | 28 |
| abstract_inverted_index.variation(CV) | 228 |
| abstract_inverted_index.pyrosequencing | 258 |
| abstract_inverted_index.quantitatively | 22 |
| abstract_inverted_index.new-established | 156 |
| abstract_inverted_index.pyromethylation | 193 |
| abstract_inverted_index.reproducibility | 129 |
| abstract_inverted_index.specificity,accuracy | 127 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.17632875 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |