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pmid:29405013

Region-Specific Methylation Profiling in Acute Myeloid Leukemia.

Agnieszka Cecotka · Joanna Polanska

Interdisciplinary sciences, computational life sciences · 2018 doi:10.1007/s12539-018-0285-4

Paper

complete

Experiment

partial

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:29405013
kind
science-record
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sha256:bdd525ab333524ccb59d7078b39208d49152178c54d69d75b762f97e1db2d4ce
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:31Z
updated_at
2026-11-01T21:59:42Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
Region-Specific Methylation Profiling in Acute Myeloid Leukemia.
doi
10.1007/s12539-018-0285-4
pmid
29405013
authors array · 2 items
[0]
Agnieszka Cecotka
[1]
Joanna Polanska
journal
Interdisciplinary sciences, computational life sciences
year
2018
abstract
Alteration of DNA methylation level in cancer diseases leads to deregulation of gene expression-silencing of tumor suppressor genes and enhancing of protooncogenes. There are several tools devoted to the problem of identification of CpG sites' demethylation but majority of them focuses on single site level and does not allow for quantification of region methylation changes. The aim was to create an adaptive algorithm supporting detection of differentially methylated CpG sites and genomic regions specific for acute myeloid leukemia. Knowledge on AML methylation fingerprint helps in better understanding the epigenetics of leukemogenesis. Proposed algorithm is data driven and does not use predefined quantification thresholds. Gaussian mixture modeling supports classification of CpG sites to several levels of demethylation. p value integration allows for translation from single site demethylation to the demethylation of gene promoter and body regions. Methylation profiles of healthy controls and AML patients were examined (GEO:GSE63409). The differences in whole genome methylation profiles were observed. The methylation profile differs significantly among genomic regions. The lowest methylation level was observed for promoter regions, while sites from intergenic regions were by average higher methylated. The observed number of AML related down methylated sites has not substantially exceeded the expected number by chance. Intergenic regions were characterized by the highest percentage of AML up methylated sites. Methylation enhancement/diminution is the most frequent for intergenic region while methylation compensation (positive or negative) is specific for promoter regions. Functional analysis performed for AML down methylated or extreme high up methylated genes showed strong connection to the leukemic processes.
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Gaussian mixture modeling (GMM) of HL distribution across genome was used to identify different demethylation levels.
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methodological
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sections[2] "Materials and Methods" paragraph 5
quote
Gaussian mixture modeling (GMM) of HL distribution across genome was used to identify different demethylation levels.
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The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients.
kind
methodological
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null
evidence array · 1 item
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sections[2] "Materials and Methods" paragraph 2
quote
The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients.
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Read the published estimate from the source
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The claim, method and evidence span published with the source article.
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the published estimate and its evidence
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Obtain the source data from the named repository
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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the source data with its repository provenance
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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the replicated result and its comparison
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The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients.
structure object · 15 fields
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The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients.
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GSM1548188
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GSM1548189
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GSM1548191
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GSM1548192
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[46]
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GSM1548198
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74
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null
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13534
taxon
Homo sapiens
title
Epigenome analysis of leukemia stem, blast and normal hematopoietic stem/progenitor cells
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2026-11-01T15:39:55Z
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identifier_resolution_only_no_download_no_licence_read
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Number of low, medium, and high methylated CpG sites in HSC and AML samples
structure object · 5 fields
pmcid
PMC5838208
section_index
4
section_title
Whole Genome Methylation Profile
row_count
7
column_count
5
table object · 8 fields
label
Table 1
caption
Number of low, medium, and high methylated CpG sites in HSC and AML samples
rows array · 7 items
[0] array · 2 items
[0]
Methylation level
[1]
AML
[1] array · 4 items
[0]
Low
[1]
Medium
[2]
High
[3]
Total
[2] array · 1 item
[0]
HSC
[3] array · 5 items
[0]
Low
[1]
191,043
[2]
14,739
[3]
2985
[4]
208,767
[4] array · 5 items
[0]
Medium
[1]
5668
[2]
11,286
[3]
33,931
[4]
50,885
[5] array · 5 items
[0]
High
[1]
2297
[2]
10,093
[3]
213,470
[4]
225,860
[6] array · 5 items
[0]
Total
[1]
199,008
[2]
36,118
[3]
250,386
[4]
485,512
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section[4]/table-wrap[1]#Tab1
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section[5]/table-wrap[1]#Tab2
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null
note
Number of CpG sites assigned to each genome region
structure object · 5 fields
pmcid
PMC5838208
section_index
5
section_title
Methylation Level in Different Genomic Region
row_count
2
column_count
3
table object · 8 fields
label
Table 2
caption
Number of CpG sites assigned to each genome region
rows array · 2 items
[0] array · 3 items
[0]
TSS region
[1]
Gene body region
[2]
Intergenic region
[1] array · 3 items
[0]
189,524
[1]
227,032
[2]
93,520
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section[5]/table-wrap[1]#Tab2
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section[5]/table-wrap[2]#Tab3
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null
note
Distribution of low, medium, and high methylated CpG sites in HSC and AML for different genomic regions
structure object · 5 fields
pmcid
PMC5838208
section_index
5
section_title
Methylation Level in Different Genomic Region
row_count
8
column_count
13
table object · 8 fields
label
Table 3
caption
Distribution of low, medium, and high methylated CpG sites in HSC and AML for different genomic regions
rows array · 8 items
[0] array · 2 items
[0]
Methylation
[1]
AML
[1] array · 3 items
[0]
TSS region
[1]
Gene body region
[2]
Intergenic region
[2] array · 12 items
[0]
Low
[1]
Medium
[2]
High
[3]
Total
[4]
Low
[5]
Medium
[6]
High
[7]
Total
[8]
Low
[9]
Medium
[10]
High
[11]
Total
[3] array · 1 item
[0]
HSC
[4] array · 13 items
[0]
Low
[1]
121,393
[2]
5693
[3]
1059
[4]
128,145
[5]
73,494
[6]
5874
[7]
1300
[8]
80,668
[9]
13,548
[10]
3295
[11]
711
[12]
17,554
[5] array · 13 items
[0]
Medium
[1]
2101
[2]
3578
[3]
8643
[4]
14,322
[5]
2417
[6]
4639
[7]
16,438
[8]
23,494
[9]
1154
[10]
3065
[11]
9893
[12]
14,112
[6] array · 13 items
[0]
High
[1]
614
[2]
2741
[3]
43,702
[4]
47,057
[5]
1087
[6]
4661
[7]
117,122
[8]
122,870
[9]
559
[10]
2722
[11]
58,573
[12]
61,854
[7] array · 13 items
[0]
Total
[1]
124,108
[2]
12,012
[3]
53,404
[4]
189,524
[5]
76,998
[6]
15,174
[7]
134,860
[8]
227,032
[9]
15,261
[10]
9,082
[11]
69,177
[12]
93,520
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section[5]/table-wrap[2]#Tab3
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read_table
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section[6]/table-wrap[1]#Tab4
version
null
note
Total and region-specific number of differentially demethylated sites—unadjusted p values (one-side tests, significance level α = 0.025)
structure object · 5 fields
pmcid
PMC5838208
section_index
6
section_title
Methylation Signature of AML
row_count
3
column_count
9
table object · 8 fields
label
Table 4
caption
Total and region-specific number of differentially demethylated sites—unadjusted p values (one-side tests, significance level α = 0.025)
rows array · 3 items
[0] array · 5 items
[0]
[1]
Whole genome
[2]
TSS region
[3]
Gene body
[4]
Intergenic region
[1] array · 8 items
[0]
Down
[1]
Up
[2]
Down
[3]
Up
[4]
Down
[5]
Up
[6]
Down
[7]
Up
[2] array · 9 items
[0]
Significantly AML demethylated sites
[1]
15,260 (3.14%)
[2]
84,073 (17.32%)
[3]
5287 (2.79%)
[4]
28,492 (15.03%)
[5]
7010 (3.09%)
[6]
39,622 (17.45%)
[7]
3075 (3.29%)
[8]
19,737 (21.10%)
locator
section[6]/table-wrap[1]#Tab4
[6] object · 16 fields
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read_table
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section[6]/table-wrap[2]#Tab5
version
null
note
Parameters of the HL related GMM components
structure object · 5 fields
pmcid
PMC5838208
section_index
6
section_title
Methylation Signature of AML
row_count
5
column_count
8
table object · 8 fields
label
Table 5
caption
Parameters of the HL related GMM components
rows array · 5 items
[0] array · 8 items
[0]
Component ID
[1]
Mean value
[2]
Standard deviation
[3]
Weight
[4]
Component ID
[5]
Mean value
[6]
Standard deviation
[7]
Weight
[1] array · 8 items
[0]
1
[1]
0.0128
[2]
0.0189
[3]
0.2645
[4]
5
[5]
0.1792
[6]
0.1269
[7]
0.0597
[2] array · 8 items
[0]
2
[1]
0.0019
[2]
0.0051
[3]
0.2148
[4]
6
[5]
− 0.1248
[6]
0.1107
[7]
0.0358
[3] array · 8 items
[0]
3
[1]
0.0348
[2]
0.0334
[3]
0.2045
[4]
7
[5]
− 0.3006
[6]
0.1940
[7]
0.0158
[4] array · 8 items
[0]
4
[1]
0.0427
[2]
0.0748
[3]
0.1942
[4]
9
[5]
0.3818
[6]
0.1775
[7]
0.0107
locator
section[6]/table-wrap[2]#Tab5
[7] object · 16 fields
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section[6]/table-wrap[3]#Tab6
version
null
note
Number of significantly AML up methylated CpG sites depending on genomic region and up methylation level
structure object · 5 fields
pmcid
PMC5838208
section_index
6
section_title
Methylation Signature of AML
row_count
6
column_count
9
table object · 8 fields
label
Table 6
caption
Number of significantly AML up methylated CpG sites depending on genomic region and up methylation level
rows array · 6 items
[0] array · 5 items
[0]
Level of AML demethylation
[1]
Whole genome
[2]
TSS region
[3]
Gene body
[4]
Intergenic
[1] array · 8 items
[0]
N
[1]
%
[2]
N
[3]
%
[4]
N
[5]
%
[6]
N
[7]
%
[2] array · 9 items
[0]
Up methylation
[1]
84,073
[2]
17.32
[3]
28,492
[4]
15.03
[5]
39,622
[6]
17.45
[7]
19,737
[8]
21.10
[3] array · 9 items
[0]
At least medium
[1]
47,659
[2]
9.82
[3]
14,196
[4]
7.49
[5]
22,177
[6]
9.77
[7]
12,738
[8]
13.62
[4] array · 9 items
[0]
At least high
[1]
17,317
[2]
3.57
[3]
5577
[4]
2.94
[5]
7414
[6]
3.27
[7]
4734
[8]
5.06
[5] array · 9 items
[0]
Extreme high
[1]
8149
[2]
1.86
[3]
2716
[4]
1.43
[5]
3477
[6]
1.53
[7]
2142
[8]
2.29
locator
section[6]/table-wrap[3]#Tab6
[8] object · 16 fields
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read_table
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section[7]/table-wrap[1]#Tab7
version
null
note
AML up and down methylation in relation to HSC methylation status
structure object · 5 fields
pmcid
PMC5838208
section_index
7
section_title
Dynamics of AML Specific Demethylation Processes
row_count
14
column_count
5
table object · 8 fields
label
Table 7
caption
AML up and down methylation in relation to HSC methylation status
rows array · 14 items
[0] array · 5 items
[0]
[1]
AML demethylation
[2]
HSC low
[3]
HSC medium
[4]
HSC high
[1] array · 3 items
[0]
N
[1]
N
[2]
N
[2] array · 5 items
[0]
Whole genome
[1]
Down
[2]
5374
[3]
2373
[4]
7513
[3] array · 4 items
[0]
No change
[1]
172,711
[2]
37,773
[3]
175,735
[4] array · 4 items
[0]
Up
[1]
30,682
[2]
10,779
[3]
42,612
[5] array · 5 items
[0]
TSS
[1]
Down
[2]
2764
[3]
774
[4]
1749
[6] array · 4 items
[0]
No change
[1]
109,047
[2]
10,694
[3]
36,014
[7] array · 4 items
[0]
Up
[1]
16,334
[2]
2864
[3]
9294
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[0]
Body
[1]
Down
[2]
2189
[3]
1046
[4]
3775
[9] array · 4 items
[0]
No change
[1]
66,433
[2]
17,439
[3]
96,528
[10] array · 4 items
[0]
Up
[1]
12,046
[2]
5009
[3]
22,567
[11] array · 5 items
[0]
Intergenic
[1]
Down
[2]
523
[3]
535
[4]
2017
[12] array · 4 items
[0]
No change
[1]
12,575
[2]
10,364
[3]
47,769
[13] array · 4 items
[0]
Up
[1]
4456
[2]
3213
[3]
12,068
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section[7]/table-wrap[1]#Tab7
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jats-table
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Number of demethylated genes after p value integration with respect to demethylated TSS and gene body regions
structure object · 5 fields
pmcid
PMC5838208
section_index
8
section_title
From Demethylated Sites to Demethylated Genes
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8
column_count
9
table object · 8 fields
label
Table 8
caption
Number of demethylated genes after p value integration with respect to demethylated TSS and gene body regions
rows array · 8 items
[0] array · 3 items
[0]
AML associated demethylation at gene level
[1]
Unadjusted p values
[2]
Storey’s corrected p values
[1] array · 4 items
[0]
Genes with demethylated TSS region
[1]
Genes with demethylated Body region
[2]
Genes with demethylated TSS region
[3]
Genes with demethylated Body region
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[0]
N
[1]
%
[2]
N
[3]
%
[4]
N
[5]
%
[6]
N
[7]
%
[3] array · 9 items
[0]
Down methylation
[1]
90
[2]
0.43
[3]
112
[4]
0.55
[5]
22
[6]
0.11
[7]
14
[8]
0.07
[4] array · 9 items
[0]
Up methylation
[1]
945
[2]
4.53
[3]
948
[4]
4.62
[5]
600
[6]
2.88
[7]
598
[8]
2.91
[5] array · 9 items
[0]
At least medium
[1]
385
[2]
1.85
[3]
422
[4]
2.06
[5]
187
[6]
0.90
[7]
162
[8]
0.79
[6] array · 9 items
[0]
At least high
[1]
105
[2]
0.50
[3]
115
[4]
0.56
[5]
53
[6]
0.25
[7]
25
[8]
0.12
[7] array · 9 items
[0]
Extreme high
[1]
31
[2]
0.15
[3]
35
[4]
0.17
[5]
18
[6]
0.09
[7]
5
[8]
0.02
locator
section[8]/table-wrap[1]#Tab8
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read_table
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section[9]/table-wrap[1]#Tab9
version
null
note
Number of significantly overrepresented GO terms
structure object · 5 fields
pmcid
PMC5838208
section_index
9
section_title
Functional Analysis of Down and Up Methylated Genes
row_count
4
column_count
5
table object · 8 fields
label
Table 9
caption
Number of significantly overrepresented GO terms
rows array · 4 items
[0] array · 5 items
[0]
Gene Ontology terms
[1]
TSS down
[2]
TSS extreme high
[3]
Body down
[4]
Body extreme high
[1] array · 5 items
[0]
Biological process
[1]
113
[2]
74
[3]
8
[4]
56
[2] array · 5 items
[0]
Molecular function
[1]
13
[2]
4
[3]
7
[4]
2
[3] array · 5 items
[0]
Cellular component
[1]
25
[2]
7
[3]
10
[4]
0
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section[10]/table-wrap[1]#Tab10
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Number of demethylated lincRNAs, enhancers and transposable elements
structure object · 5 fields
pmcid
PMC5838208
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10
section_title
Investigation for Long Noncoding RNAs, Enhancers, Transposable Elements and microRNAs
row_count
4
column_count
6
table object · 8 fields
label
Table 10
caption
Number of demethylated lincRNAs, enhancers and transposable elements
rows array · 4 items
[0] array · 6 items
[0]
AML demethylation
[1]
Down methylation
[2]
Up methylation
[3]
At least medium
[4]
At least high
[5]
Extreme high
[1] array · 6 items
[0]
linc RNAs
[1]
289
[2]
1368
[3]
814
[4]
269
[5]
112
[2] array · 6 items
[0]
Enhancers
[1]
74
[2]
262
[3]
143
[4]
53
[5]
19
[3] array · 6 items
[0]
Transposable elements
[1]
838
[2]
5325
[3]
3111
[4]
727
[5]
180
locator
section[10]/table-wrap[1]#Tab10
gaps array · 2 items
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asset:data:geo:GSE63409 not downloaded
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asset:data:geo:GSE63409 licence not read
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group_comparison
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group_comparison_wilcoxon
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two_or_more_groups_continuous
evidence object · 3 fields
score
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Wilcoxon
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id
method-2
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null
specific
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Gaussian mixture modeling (GMM) of HL distribution across genome
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evidence object · 3 fields
score
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band
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Gaussian mixture modeling (GMM) of HL distribution across genome was used to identify different demethylation levels.
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method.reader_named_unmapped
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method.group_comparison_wilcoxon
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capability:computational_analysis
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meta_analysis
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candidate
Automated Assays Laravel application and simulated adapters
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blocked_on
nothing:replicable_now
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group_comparison_wilcoxon
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon.
capability object · 4 fields
tier
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capability_id
capability:computational_analysis
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
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GSE63409
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GSE63409
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[0]
The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients.
basis
The paper names GSE63409 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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source:pmid:29405013
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asset:table:pmid:29405013:1
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asset:table:pmid:29405013:8
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asset:table:pmid:29405013:9
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data:geo:GSE63409
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review object · 5 fields
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
null
independence
same_provider
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verbatim
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null
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extraction
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PMID 29405013 full text
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GEO GSE63409
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PMID 29405013 full text
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GEO GSE63409
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les measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cell
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29405013", "kind": "science-record", "revision": 8, "content_hash": "sha256:bdd525ab333524ccb59d7078b39208d49152178c54d69d75b762f97e1db2d4ce", "created_at": "2026-11-01T15:40:31Z", "updated_at": "2026-11-01T21:59:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Region-Specific Methylation Profiling in Acute Myeloid Leukemia.", "doi": "10.1007/s12539-018-0285-4", "pmid": "29405013", "authors": ["Agnieszka Cecotka", "Joanna Polanska"], "journal": "Interdisciplinary sciences, computational life sciences", "year": 2018, "abstract": "Alteration of DNA methylation level in cancer diseases leads to deregulation of gene expression-silencing of tumor suppressor genes and enhancing of protooncogenes. There are several tools devoted to the problem of identification of CpG sites' demethylation but majority of them focuses on single site level and does not allow for quantification of region methylation changes. The aim was to create an adaptive algorithm supporting detection of differentially methylated CpG sites and genomic regions specific for acute myeloid leukemia. Knowledge on AML methylation fingerprint helps in better understanding the epigenetics of leukemogenesis. Proposed algorithm is data driven and does not use predefined quantification thresholds. Gaussian mixture modeling supports classification of CpG sites to several levels of demethylation. p value integration allows for translation from single site demethylation to the demethylation of gene promoter and body regions. Methylation profiles of healthy controls and AML patients were examined (GEO:GSE63409). The differences in whole genome methylation profiles were observed. The methylation profile differs significantly among genomic regions. The lowest methylation level was observed for promoter regions, while sites from intergenic regions were by average higher methylated. The observed number of AML related down methylated sites has not substantially exceeded the expected number by chance. Intergenic regions were characterized by the highest percentage of AML up methylated sites. Methylation enhancement/diminution is the most frequent for intergenic region while methylation compensation (positive or negative) is specific for promoter regions. Functional analysis performed for AML down methylated or extreme high up methylated genes showed strong connection to the leukemic processes.", "claims": [{"id": "claim-method", "statement": "Gaussian mixture modeling (GMM) of HL distribution across genome was used to identify different demethylation levels.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29405013", "locator": "sections[2] \"Materials and Methods\" paragraph 5", "quote": "Gaussian mixture modeling (GMM) of HL distribution across genome was used to identify different demethylation levels."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29405013", "locator": "sections[2] \"Materials and Methods\" paragraph 2", "quote": "The data set GSE63409 [8, 9] consists of raw methylation profiles measured by Infinium HumanMethylation450 microarray (Illumina) from five hematopoietic stem cells’ samples from healthy donors (HSC) and 14 samples of CD34 + 38-cells from AML patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:29405013"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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