Supplementary Figures S1-S15 from Mutational Heterogeneity in <i>APC</i> and <i>KRAS</i> Arises at the Crypt Level and Leads to Polyclonality in Early Colorectal Tumorigenesis Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1158/1078-0432.22466634.v1
Figures S1, S2, S3 and S4. APC and KRAS genotyping of crypts and bulk biopsies in adenomas from MAP, UPF, LS and cMMRD cases. Figures S5, S6 and S7. APC and KRAS genotyping of crypts and bulk biopsies in adenomas from SPO cases. Figure S8, S9 and S10. Hyerarchical clustering analysis of crypts based on KRAS genotyping results. Figure S11. Comparative analysis of mutant allele discrimination by (A) Light Cycler 480 (Roche) and (B) nanofluidic PCR using Dynamic array (Fluidigm). Figure S12. A. Comparative analysis of KRAS genotyping using whole genome amplified (WGA) DNA or pre-amplified DNA using 15 cycles of a nested PCR. Figure S13. Genotyping results including water controls of random KRAS hotspot mutation analysis after performing a pre-amplification step using a nested PCR apporach. Figure S14. Independent validation of KRAS hotspot mutation that have been detected by Nanofluidic Dynamic array using the Nanofluidic Digital PCR genotyping as an alternative approach. Figure S15. Independent validation of KRAS hotspot mutation that have been detected by Nanofluidic Dynamic array using the Nanofluidic Digital PCR genotyping as an alternative approach.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1158/1078-0432.22466634.v1
- https://aacr.figshare.com/ndownloader/files/39918018
- OA Status
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4361929099Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/1078-0432.22466634.v1Digital Object Identifier
- Title
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Supplementary Figures S1-S15 from Mutational Heterogeneity in <i>APC</i> and <i>KRAS</i> Arises at the Crypt Level and Leads to Polyclonality in Early Colorectal TumorigenesisWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-31Full publication date if available
- Authors
-
Mireia Gausachs, Ester Borràs, Kyle Chang, Sara González, Daniel Azuara, Axel Delgado Amador, Adriana López‐Doriga, F. Anthony San Lucas, Xavier Sanjuán, Maria J. Paules, Melissa W. Taggart, Gareth E. Davies, Erik A. Ehli, Jerry Fowler, Vı́ctor Moreno, Marta Pineda, Y. Nancy You, Patrick M. Lynch, Conxi Lázaro, Nicholas E. Navin, Paul Scheet, Ernest T. Hawk, Gabriel Capellá, Eduardo VilarList of authors in order
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https://aacr.figshare.com/ndownloader/files/39918018Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://aacr.figshare.com/ndownloader/files/39918018Direct OA link when available
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KRAS, Genotyping, Digital polymerase chain reaction, Biology, Molecular biology, Genetics, Polymerase chain reaction, Genotype, Mutation, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 10, 33, 51, 62, 85, 100, 111, 131, 157 |
| abstract_inverted_index.on | 54 |
| abstract_inverted_index.or | 94 |
| abstract_inverted_index.(A) | 67 |
| abstract_inverted_index.(B) | 73 |
| abstract_inverted_index.480 | 70 |
| abstract_inverted_index.APC | 6, 29 |
| abstract_inverted_index.DNA | 93, 96 |
| abstract_inverted_index.PCR | 75, 125, 147, 173 |
| abstract_inverted_index.S1, | 1 |
| abstract_inverted_index.S2, | 2 |
| abstract_inverted_index.S4. | 5 |
| abstract_inverted_index.S5, | 25 |
| abstract_inverted_index.S7. | 28 |
| abstract_inverted_index.S8, | 44 |
| abstract_inverted_index.SPO | 41 |
| abstract_inverted_index.and | 4, 7, 12, 21, 27, 30, 35, 46, 72 |
| abstract_inverted_index.the | 144, 170 |
| abstract_inverted_index.KRAS | 8, 31, 55, 86, 113, 132, 158 |
| abstract_inverted_index.MAP, | 18 |
| abstract_inverted_index.PCR. | 103 |
| abstract_inverted_index.S10. | 47 |
| abstract_inverted_index.S11. | 59 |
| abstract_inverted_index.S12. | 81 |
| abstract_inverted_index.S13. | 105 |
| abstract_inverted_index.S14. | 128 |
| abstract_inverted_index.S15. | 154 |
| abstract_inverted_index.UPF, | 19 |
| abstract_inverted_index.been | 137, 163 |
| abstract_inverted_index.bulk | 13, 36 |
| abstract_inverted_index.from | 17, 40 |
| abstract_inverted_index.have | 136, 162 |
| abstract_inverted_index.step | 121 |
| abstract_inverted_index.that | 135, 161 |
| abstract_inverted_index.(WGA) | 92 |
| abstract_inverted_index.Light | 68 |
| abstract_inverted_index.after | 117 |
| abstract_inverted_index.array | 78, 142, 168 |
| abstract_inverted_index.based | 53 |
| abstract_inverted_index.cMMRD | 22 |
| abstract_inverted_index.using | 76, 88, 97, 122, 143, 169 |
| abstract_inverted_index.water | 109 |
| abstract_inverted_index.whole | 89 |
| abstract_inverted_index.Cycler | 69 |
| abstract_inverted_index.Figure | 43, 58, 80, 104, 127, 153 |
| abstract_inverted_index.allele | 64 |
| abstract_inverted_index.cases. | 23, 42 |
| abstract_inverted_index.crypts | 11, 34, 52 |
| abstract_inverted_index.cycles | 99 |
| abstract_inverted_index.genome | 90 |
| abstract_inverted_index.mutant | 63 |
| abstract_inverted_index.nested | 102, 124 |
| abstract_inverted_index.random | 112 |
| abstract_inverted_index.(Roche) | 71 |
| abstract_inverted_index.Digital | 146, 172 |
| abstract_inverted_index.Dynamic | 77, 141, 167 |
| abstract_inverted_index.Figures | 24 |
| abstract_inverted_index.hotspot | 114, 133, 159 |
| abstract_inverted_index.results | 107 |
| abstract_inverted_index.adenomas | 16, 39 |
| abstract_inverted_index.analysis | 50, 61, 84, 116 |
| abstract_inverted_index.biopsies | 14, 37 |
| abstract_inverted_index.controls | 110 |
| abstract_inverted_index.detected | 138, 164 |
| abstract_inverted_index.mutation | 115, 134, 160 |
| abstract_inverted_index.results. | 57 |
| abstract_inverted_index.amplified | 91 |
| abstract_inverted_index.apporach. | 126 |
| abstract_inverted_index.approach. | 152 |
| abstract_inverted_index.including | 108 |
| abstract_inverted_index.Genotyping | 106 |
| abstract_inverted_index.clustering | 49 |
| abstract_inverted_index.genotyping | 9, 32, 56, 87, 148, 174 |
| abstract_inverted_index.performing | 118 |
| abstract_inverted_index.validation | 130, 156 |
| abstract_inverted_index.(Fluidigm). | 79 |
| abstract_inverted_index.Comparative | 60, 83 |
| abstract_inverted_index.Independent | 129, 155 |
| abstract_inverted_index.Nanofluidic | 140, 145, 166, 171 |
| abstract_inverted_index.alternative | 151, 177 |
| abstract_inverted_index.nanofluidic | 74 |
| abstract_inverted_index.Hyerarchical | 48 |
| abstract_inverted_index.pre-amplified | 95 |
| abstract_inverted_index.discrimination | 65 |
| abstract_inverted_index.<p>Figures | 0 |
| abstract_inverted_index.pre-amplification | 120 |
| abstract_inverted_index.approach.</p> | 178 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 24 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.6899999976158142 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.19534755 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |