Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:26981385

Androgen receptor DNA binding and chromatin accessibility profiling in prostate cancer.

Ekaterina Nevedomskaya · Suzan Stelloo · Henk G van der Poel · Jeroen de Jong · Lodewyk F A Wessels · Andries M Bergman · Wilbert Zwart

Genomics data · 2016 doi:10.1016/j.gdata.2015.12.020

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:26981385
kind
science-record
content_hash
sha256:a33a75ff3a7b62e017c15e0aecf60827f35f748c94b8021e4ddca8b565ffe820
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:16Z
updated_at
2026-11-01T22:42:37Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Androgen receptor DNA binding and chromatin accessibility profiling in prostate cancer.
doi
10.1016/j.gdata.2015.12.020
pmid
26981385
authors array · 7 items
[0]
Ekaterina Nevedomskaya
[1]
Suzan Stelloo
[2]
Henk G van der Poel
[3]
Jeroen de Jong
[4]
Lodewyk F A Wessels
[5]
Andries M Bergman
[6]
Wilbert Zwart
journal
Genomics data
year
2016
abstract
Prostate cancer (PCa) is the second most common cancer in men. The Androgen Receptor (AR) is the major driver of PCa and the main target of therapy in the advanced setting. AR is a nuclear receptor that binds the chromatin and regulates transcription of genes involved in cancer cell proliferation and survival. In a study by Stelloo et al. (1) we explored prostate cancer on the level of transcriptional regulation by means of Formaldehyde-Assisted Isolation of Regulatory Elements and Chromatin Immunoprecipitation coupled with massive parallel sequencing (FAIRE-seq and ChIP-seq, respectively). We employed these data for the assessment of differences in transcriptional regulation at distinct stages of PCa progression and to construct a prognostic gene expression classifier. Genomics data includes FAIRE-seq data from normal prostate tissue as well as primary, hormone therapy resistant and metastatic PCa. Furthermore, ChIP-seq data from primary and resistant PCa were generated, along with multiple input controls. The data are publicly available through NCBI GEO database with accession number GSE65478. Here we describe the genomics and clinical data in detail and provide comparative analysis of FAIRE-seq and ChIP-seq data.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:26981385
locator
sections[8] "Data analysis" paragraph 5
quote
The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The data are publicly available through NCBI GEO database with accession number GSE65478.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:26981385
locator
sections[0] "Abstract" paragraph 1
quote
The data are publicly available through NCBI GEO database with accession number GSE65478.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Fisher’s exact test was used to compare peak distances from the nearest transcription start site, and the source data are publicly available through NCBI GEO under accession number GSE65478.
kind
quantitative
target object · 4 fields
value
10
unit
p-value
tolerance
null
source
The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:26981385
locator
sections[8] "Data analysis" paragraph 5
quote
The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).
[1] object · 3 fields
asset
source:pmid:26981385
locator
sections[0] "Abstract" paragraph 1
quote
The data are publicly available through NCBI GEO database with accession number GSE65478.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Fisher’s exact test was used to compare peak distances from the nearest transcription start site, and the source data are publicly available through NCBI GEO under accession number GSE65478.
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:26981385
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE65478
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE65478
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 4 items
[0] object · 15 fields
id
source:pmid:26981385
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1016/j.gdata.2015.12.020
sha256
sha256:874dbb98df4b8ee2df35c78c4ca8e0cc6b1c85f9b40169cc862f92a91c081d91
bytes
10434
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1016/j.gdata.2015.12.020
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC4778643
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE65478
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65478
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE65478
version
null
note
The data are publicly available through NCBI GEO database with accession number GSE65478.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data are publicly available through NCBI GEO database with accession number GSE65478.
access_statement_kind
data_availability_statement
sample_accessions array · 26 items
[0]
GSM1598204
[1]
GSM1598205
[2]
GSM1598206
[3]
GSM1598207
[4]
GSM1598208
[5]
GSM1598209
[6]
GSM1598210
[7]
GSM1598211
[8]
GSM1598212
[9]
GSM1598213
[10]
GSM1598214
[11]
GSM1598215
[12]
GSM1598216
[13]
GSM1598217
[14]
GSM1598218
[15]
GSM1598219
[16]
GSM1598220
[17]
GSM1598221
[18]
GSM1598222
[19]
GSM1598223
[20]
GSM1598224
[21]
GSM1598225
[22]
GSM1598226
[23]
GSM1598227
[24]
GSM1598228
[25]
GSM1598229
sample_count
26
group_sizes
null
group_sizes_basis
null
platform
11154
taxon
Homo sapiens
title
Androgen Receptor profiling in tumor specimens yields hallmarks of prostate cancer outcome
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 16 fields
id
asset:table:pmid:26981385:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:60e09666e36e252995501ef82f4da9634bb5ce571738a5033488cdc4c699657b
bytes
869
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[4]/table-wrap[1]#t0005
version
null
note
Patient and tumor characteristics of the selected samples.
structure object · 5 fields
pmcid
PMC4778643
section_index
4
section_title
Clinical samples and experimental design
row_count
21
column_count
5
table object · 8 fields
label
Table 1
caption
Patient and tumor characteristics of the selected samples.
rows array · 21 items
[0] array · 2 items
[0]
Characteristic
[1]
Number of patients
[1] array · 4 items
[0]
Normal
[1]
Primary
[2]
Resistant
[3]
Metastasis
[2] array · 4 items
[0]
4
[1]
4
[2]
4
[3]
3
[3] array · 1 item
[0]
Treatment type
[4] array · 5 items
[0]
Untreated
[1]
3
[2]
4
[3]
0
[4]
2
[5] array · 5 items
[0]
Bicalutamide/cyproteron acetate
[1]
1
[2]
0
[3]
0
[4]
0
[6] array · 5 items
[0]
Bicalutamide/LHRH analogue
[1]
0
[2]
0
[3]
1
[4]
0
[7] array · 5 items
[0]
Cyproteron acetate + LHRH analogue
[1]
0
[2]
0
[3]
1
[4]
0
[8] array · 5 items
[0]
LHRH analogue
[1]
0
[2]
0
[3]
2
[4]
0
[9] array · 5 items
[0]
LHRH analogue/Cyproteron Acetate
[1]
0
[2]
0
[3]
0
[4]
1
[10] array · 1 item
[0]
[11] array · 1 item
[0]
Gleason score
[12] array · 5 items
[0]
6
[1]
1
[2]
0
[3]
0
[4]
0
[13] array · 5 items
[0]
7
[1]
2
[2]
2
[3]
0
[4]
0
[14] array · 5 items
[0]
8
[1]
0
[2]
0
[3]
1
[4]
1
[15] array · 5 items
[0]
9
[1]
1
[2]
2
[3]
0
[4]
0
[16] array · 5 items
[0]
10
[1]
0
[2]
0
[3]
3
[4]
2
[17] array · 1 item
[0]
[18] array · 1 item
[0]
Initial PSA (ng/ml)
[19] array · 5 items
[0]
Mean
[1]
8.7
[2]
19.6
[3]
149.5
[4]
135.5
[20] array · 5 items
[0]
Range
[1]
5.3–13.0
[2]
8.5–38.0
[3]
6.5–511.0
[4]
17.0–254.0
locator
section[4]/table-wrap[1]#t0005
[3] object · 16 fields
id
asset:table:pmid:26981385:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1ea22112cfb3f068ee72a18bb9b1ad8e041a17f615bb951469d2d8a4bcc55440
bytes
2319
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[8]/table-wrap[1]#t0010
version
null
note
Sequencing and peak calling details.
structure object · 5 fields
pmcid
PMC4778643
section_index
8
section_title
Data analysis
row_count
27
column_count
7
table object · 8 fields
label
Table 2
caption
Sequencing and peak calling details.
rows array · 27 items
[0] array · 7 items
[0]
GEO accession
[1]
Experiment
[2]
Tissue
[3]
Total number of reads
[4]
Mapped reads
[5]
% mapped reads
[6]
No. peaks
[1] array · 7 items
[0]
GSM1598204
[1]
FAIRE-seq
[2]
Normal
[3]
19,147,127
[4]
17,986,187
[5]
93.94
[6]
50
[2] array · 7 items
[0]
GSM1598205
[1]
FAIRE-seq
[2]
Normal
[3]
21,599,945
[4]
19,883,501
[5]
92.05
[6]
472
[3] array · 7 items
[0]
GSM1598206
[1]
FAIRE-seq
[2]
Normal
[3]
26,080,719
[4]
25,043,481
[5]
96.02
[6]
61
[4] array · 7 items
[0]
GSM1598207
[1]
FAIRE-seq
[2]
Normal
[3]
23,167,347
[4]
22,177,458
[5]
95.73
[6]
2837
[5] array · 7 items
[0]
GSM1598208
[1]
FAIRE-seq
[2]
Primary
[3]
36,827,373
[4]
34,441,896
[5]
93.52
[6]
6450
[6] array · 7 items
[0]
GSM1598209
[1]
FAIRE-seq
[2]
Primary
[3]
18,306,926
[4]
17,002,416
[5]
92.87
[6]
1579
[7] array · 7 items
[0]
GSM1598210
[1]
FAIRE-seq
[2]
Primary
[3]
32,197,589
[4]
30,568,523
[5]
94.94
[6]
13,348
[8] array · 7 items
[0]
GSM1598211
[1]
FAIRE-seq
[2]
Primary
[3]
28,992,853
[4]
27,590,961
[5]
95.16
[6]
2243
[9] array · 7 items
[0]
GSM1598212
[1]
FAIRE-seq
[2]
Resistant
[3]
37,452,682
[4]
35,655,681
[5]
95.2
[6]
80
[10] array · 7 items
[0]
GSM1598213
[1]
FAIRE-seq
[2]
Resistant
[3]
28,372,546
[4]
26,836,918
[5]
94.59
[6]
3497
[11] array · 7 items
[0]
GSM1598214
[1]
FAIRE-seq
[2]
Resistant
[3]
27,545,618
[4]
26,061,843
[5]
94.61
[6]
5754
[12] array · 7 items
[0]
GSM1598215
[1]
FAIRE-seq
[2]
Metastasis
[3]
39,562,972
[4]
37,594,752
[5]
95.03
[6]
2043
[13] array · 7 items
[0]
GSM1598216
[1]
FAIRE-seq
[2]
Metastasis
[3]
29,130,845
[4]
27,291,106
[5]
93.68
[6]
281
[14] array · 7 items
[0]
GSM1598217
[1]
FAIRE-seq
[2]
Metastasis
[3]
27,253,810
[4]
25,789,354
[5]
94.63
[6]
1313
[15] array · 7 items
[0]
GSM1598218
[1]
AR ChIP-seq
[2]
Primary
[3]
13,782,549
[4]
12,232,556
[5]
88.75
[6]
754
[16] array · 7 items
[0]
GSM1598219
[1]
AR ChIP-seq
[2]
Primary
[3]
18,146,927
[4]
16,009,388
[5]
88.22
[6]
402
[17] array · 7 items
[0]
GSM1598220
[1]
AR ChIP-seq
[2]
Primary
[3]
13,040,014
[4]
11,254,994
[5]
86.31
[6]
17,511
[18] array · 7 items
[0]
GSM1598221
[1]
AR ChIP-seq
[2]
Primary
[3]
9,928,626
[4]
7,080,840
[5]
71.32
[6]
3278
[19] array · 7 items
[0]
GSM1598222
[1]
AR ChIP-seq
[2]
Primary
[3]
12,243,485
[4]
11,160,623
[5]
91.16
[6]
7932
[20] array · 7 items
[0]
GSM1598223
[1]
AR ChIP-seq
[2]
Resistant
[3]
16,518,987
[4]
14,727,645
[5]
89.16
[6]
739
[21] array · 7 items
[0]
GSM1598224
[1]
AR ChIP-seq
[2]
Resistant
[3]
16,382,421
[4]
14,441,817
[5]
88.15
[6]
238
[22] array · 7 items
[0]
GSM1598225
[1]
AR ChIP-seq
[2]
Resistant
[3]
15,621,538
[4]
13,967,477
[5]
89.41
[6]
1779
[23] array · 7 items
[0]
GSM1598226
[1]
Input
[2]
Resistant
[3]
28,171,838
[4]
26,825,849
[5]
95.22
[6]
[24] array · 7 items
[0]
GSM1598227
[1]
Input
[2]
Metastasis
[3]
24,117,145
[4]
22,902,755
[5]
94.96
[6]
[25] array · 7 items
[0]
GSM1598228
[1]
Input
[2]
Primary
[3]
23,982,305
[4]
22,739,491
[5]
94.82
[6]
[26] array · 7 items
[0]
GSM1598229
[1]
Input
[2]
Primary
[3]
27,642,177
[4]
26,387,234
[5]
95.46
[6]
locator
section[8]/table-wrap[1]#t0010
gaps array · 2 items
[0]
asset:data:geo:GSE65478 not downloaded
[1]
asset:data:geo:GSE65478 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
contingency_analysis
specific
fisher_exact
label
Categorical (contingency table) analysis
dsl_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
1
band
verbatim
quote
The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
chi_square_test
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: fisher_exact.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
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
R1
reachable
true
accessions array · 1 item
[0]
GSE65478
resolved_accessions array · 1 item
[0]
GSE65478
statements array · 1 item
[0]
The data are publicly available through NCBI GEO database with accession number GSE65478.
basis
The paper names GSE65478 in NCBI GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
assets array · 4 items
[0]
source:pmid:26981385
[1]
data:geo:GSE65478
[2]
asset:table:pmid:26981385:1
[3]
asset:table:pmid:26981385:2
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE65478
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:27:45Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
8
usage object · 3 fields
prompt_tokens
25575
completion_tokens
2813
cached_tokens
1816
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:26981385
type
paper
label
pmid:26981385
[1] object · 3 fields
id
source:pmid:26981385
type
manuscript
label
PMID 26981385 full text
[2] object · 3 fields
id
data:geo:GSE65478
type
dataset
label
GEO GSE65478
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:26981385
type
paper
label
pmid:26981385
[1] object · 3 fields
id
source:pmid:26981385
type
manuscript
label
PMID 26981385 full text
[2] object · 3 fields
id
data:geo:GSE65478
type
dataset
label
GEO GSE65478
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-26981385
type
extraction
used array · 1 item
[0]
source:pmid:26981385
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE65478
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE65478
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:26981385
parent_hash
sha256:aa769440076c441d5eb15b94c41f4cb51d35654e1584476f4bcb6256920546a5
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE65478 licence not read
[1]
asset:data:geo:GSE65478 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
chip_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
h massive parallel sequencing (FAIRE-seq and ChIP-seq, respectively). We employed these data for t
[1]
y resistant and metastatic PCa. Furthermore, ChIP-seq data from primary and resistant PCa were gen
[2]
rovide comparative analysis of FAIRE-seq and ChIP-seq data.
[3]
node metastases (Fig. 1). Androgen Receptor ChIP-seq was carried out on four primary and three re
order_basis
paper_text_order:616
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
contingency_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:26981385", "kind": "science-record", "revision": 8, "content_hash": "sha256:a33a75ff3a7b62e017c15e0aecf60827f35f748c94b8021e4ddca8b565ffe820", "created_at": "2026-11-01T15:40:16Z", "updated_at": "2026-11-01T22:42:37Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Androgen receptor DNA binding and chromatin accessibility profiling in prostate cancer.", "doi": "10.1016/j.gdata.2015.12.020", "pmid": "26981385", "authors": ["Ekaterina Nevedomskaya", "Suzan Stelloo", "Henk G van der Poel", "Jeroen de Jong", "Lodewyk F A Wessels", "Andries M Bergman", "Wilbert Zwart"], "journal": "Genomics data", "year": 2016, "abstract": "Prostate cancer (PCa) is the second most common cancer in men. The Androgen Receptor (AR) is the major driver of PCa and the main target of therapy in the advanced setting. AR is a nuclear receptor that binds the chromatin and regulates transcription of genes involved in cancer cell proliferation and survival. In a study by Stelloo et al. (1) we explored prostate cancer on the level of transcriptional regulation by means of Formaldehyde-Assisted Isolation of Regulatory Elements and Chromatin Immunoprecipitation coupled with massive parallel sequencing (FAIRE-seq and ChIP-seq, respectively). We employed these data for the assessment of differences in transcriptional regulation at distinct stages of PCa progression and to construct a prognostic gene expression classifier. Genomics data includes FAIRE-seq data from normal prostate tissue as well as primary, hormone therapy resistant and metastatic PCa. Furthermore, ChIP-seq data from primary and resistant PCa were generated, along with multiple input controls. The data are publicly available through NCBI GEO database with accession number GSE65478. Here we describe the genomics and clinical data in detail and provide comparative analysis of FAIRE-seq and ChIP-seq data.", "claims": [{"id": "claim-method", "statement": "The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:26981385", "locator": "sections[8] \"Data analysis\" paragraph 5", "quote": "The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data are publicly available through NCBI GEO database with accession number GSE65478.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:26981385", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The data are publicly available through NCBI GEO database with accession number GSE65478."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Fisher’s exact test was used to compare peak distances from the nearest transcription start site, and the source data are publicly available through NCBI GEO under accession number GSE65478.", "kind": "quantitative", "target": {"value": 10.0, "unit": "p-value", "tolerance": null, "source": "The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C)."}, "evidence": [{"asset": "source:pmid:26981385", "locator": "sections[8] \"Data analysis\" paragraph 5", "quote": "The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C)."}, {"asset": "source:pmid:26981385", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The data are publicly available through NCBI GEO database with accession number GSE65478."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Fisher’s exact test was used to compare peak distances from the nearest transcription start site, and the source data are publicly available through NCBI GEO under accession number GSE65478.", "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:26981385"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE65478"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE65478"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:26981385", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1016/j.gdata.2015.12.020", "sha256": "sha256:874dbb98df4b8ee2df35c78c4ca8e0cc6b1c85f9b40169cc862f92a91c081d91", "bytes": 10434, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1016/j.gdata.2015.12.020", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC4778643", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE65478", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65478", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE65478", "version": null, "note": "The data are publicly available through NCBI GEO database with accession number GSE65478.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data are publicly available through NCBI GEO database with accession number GSE65478.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1598204", "GSM1598205", "GSM1598206", "GSM1598207", "GSM1598208", "GSM1598209", "GSM1598210", "GSM1598211", "GSM1598212", "GSM1598213", "GSM1598214", "GSM1598215", "GSM1598216", "GSM1598217", "GSM1598218", "GSM1598219", "GSM1598220", "GSM1598221", "GSM1598222", "GSM1598223", "GSM1598224", "GSM1598225", "GSM1598226", "GSM1598227", "GSM1598228", "GSM1598229"], "sample_count": 26, "group_sizes": null, "group_sizes_basis": null, "platform": "11154", "taxon": "Homo sapiens", "title": "Androgen Receptor profiling in tumor specimens yields hallmarks of prostate cancer outcome", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:26981385:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:60e09666e36e252995501ef82f4da9634bb5ce571738a5033488cdc4c699657b", "bytes": 869, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#t0005", "version": null, "note": "Patient and tumor characteristics of the selected samples.", "structure": {"pmcid": "PMC4778643", "section_index": 4, "section_title": "Clinical samples and experimental design", "row_count": 21, "column_count": 5}, "table": {"label": "Table 1", "caption": "Patient and tumor characteristics of the selected samples.", "rows": [["Characteristic", "Number of patients"], ["Normal", "Primary", "Resistant", "Metastasis"], ["4", "4", "4", "3"], ["Treatment type"], ["Untreated", "3", "4", "0", "2"], ["Bicalutamide/cyproteron acetate", "1", "0", "0", "0"], ["Bicalutamide/LHRH analogue", "0", "0", "1", "0"], ["Cyproteron acetate + LHRH analogue", "0", "0", "1", "0"], ["LHRH analogue", "0", "0", "2", "0"], ["LHRH analogue/Cyproteron Acetate", "0", "0", "0", "1"], [""], ["Gleason score"], ["6", "1", "0", "0", "0"], ["7", "2", "2", "0", "0"], ["8", "0", "0", "1", "1"], ["9", "1", "2", "0", "0"], ["10", "0", "0", "3", "2"], [""], ["Initial PSA (ng/ml)"], ["Mean", "8.7", "19.6", "149.5", "135.5"], ["Range", "5.3–13.0", "8.5–38.0", "6.5–511.0", "17.0–254.0"]], "row_count": 21, "column_count": 5, "numeric_cells": 61, "header_rows": 3, "locator": "section[4]/table-wrap[1]#t0005"}}, {"id": "asset:table:pmid:26981385:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1ea22112cfb3f068ee72a18bb9b1ad8e041a17f615bb951469d2d8a4bcc55440", "bytes": 2319, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#t0010", "version": null, "note": "Sequencing and peak calling details.", "structure": {"pmcid": "PMC4778643", "section_index": 8, "section_title": "Data analysis", "row_count": 27, "column_count": 7}, "table": {"label": "Table 2", "caption": "Sequencing and peak calling details.", "rows": [["GEO accession", "Experiment", "Tissue", "Total number of reads", "Mapped reads", "% mapped reads", "No. peaks"], ["GSM1598204", "FAIRE-seq", "Normal", "19,147,127", "17,986,187", "93.94", "50"], ["GSM1598205", "FAIRE-seq", "Normal", "21,599,945", "19,883,501", "92.05", "472"], ["GSM1598206", "FAIRE-seq", "Normal", "26,080,719", "25,043,481", "96.02", "61"], ["GSM1598207", "FAIRE-seq", "Normal", "23,167,347", "22,177,458", "95.73", "2837"], ["GSM1598208", "FAIRE-seq", "Primary", "36,827,373", "34,441,896", "93.52", "6450"], ["GSM1598209", "FAIRE-seq", "Primary", "18,306,926", "17,002,416", "92.87", "1579"], ["GSM1598210", "FAIRE-seq", "Primary", "32,197,589", "30,568,523", "94.94", "13,348"], ["GSM1598211", "FAIRE-seq", "Primary", "28,992,853", "27,590,961", "95.16", "2243"], ["GSM1598212", "FAIRE-seq", "Resistant", "37,452,682", "35,655,681", "95.2", "80"], ["GSM1598213", "FAIRE-seq", "Resistant", "28,372,546", "26,836,918", "94.59", "3497"], ["GSM1598214", "FAIRE-seq", "Resistant", "27,545,618", "26,061,843", "94.61", "5754"], ["GSM1598215", "FAIRE-seq", "Metastasis", "39,562,972", "37,594,752", "95.03", "2043"], ["GSM1598216", "FAIRE-seq", "Metastasis", "29,130,845", "27,291,106", "93.68", "281"], ["GSM1598217", "FAIRE-seq", "Metastasis", "27,253,810", "25,789,354", "94.63", "1313"], ["GSM1598218", "AR ChIP-seq", "Primary", "13,782,549", "12,232,556", "88.75", "754"], ["GSM1598219", "AR ChIP-seq", "Primary", "18,146,927", "16,009,388", "88.22", "402"], ["GSM1598220", "AR ChIP-seq", "Primary", "13,040,014", "11,254,994", "86.31", "17,511"], ["GSM1598221", "AR ChIP-seq", "Primary", "9,928,626", "7,080,840", "71.32", "3278"], ["GSM1598222", "AR ChIP-seq", "Primary", "12,243,485", "11,160,623", "91.16", "7932"], ["GSM1598223", "AR ChIP-seq", "Resistant", "16,518,987", "14,727,645", "89.16", "739"], ["GSM1598224", "AR ChIP-seq", "Resistant", "16,382,421", "14,441,817", "88.15", "238"], ["GSM1598225", "AR ChIP-seq", "Resistant", "15,621,538", "13,967,477", "89.41", "1779"], ["GSM1598226", "Input", "Resistant", "28,171,838", "26,825,849", "95.22", ""], ["GSM1598227", "Input", "Metastasis", "24,117,145", "22,902,755", "94.96", ""], ["GSM1598228", "Input", "Primary", "23,982,305", "22,739,491", "94.82", ""], ["GSM1598229", "Input", "Primary", "27,642,177", "26,387,234", "95.46", ""]], "row_count": 27, "column_count": 7, "numeric_cells": 126, "header_rows": 1, "locator": "section[8]/table-wrap[1]#t0010"}}], "gaps": ["asset:data:geo:GSE65478 not downloaded", "asset:data:geo:GSE65478 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "contingency_analysis", "specific": "fisher_exact", "label": "Categorical (contingency table) analysis", "dsl_operations": ["contingency_table", "chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C)."}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "chi_square_test", "expected_value": 10.0, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["contingency_table", "chi_square_test"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: fisher_exact."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE65478"], "resolved_accessions": ["GSE65478"], "statements": ["The data are publicly available through NCBI GEO database with accession number GSE65478."], "basis": "The paper names GSE65478 in NCBI GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["contingency_table", "chi_square_test"], "assets": ["source:pmid:26981385", "data:geo:GSE65478", "asset:table:pmid:26981385:1", "asset:table:pmid:26981385:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE65478"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:27:45Z", "independence": "same_provider"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 8, "usage": {"prompt_tokens": 25575, "completion_tokens": 2813, "cached_tokens": 1816}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:26981385", "type": "paper", "label": "pmid:26981385"}, {"id": "source:pmid:26981385", "type": "manuscript", "label": "PMID 26981385 full text"}, {"id": "data:geo:GSE65478", "type": "dataset", "label": "GEO GSE65478"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:26981385", "type": "paper", "label": "pmid:26981385"}, {"id": "source:pmid:26981385", "type": "manuscript", "label": "PMID 26981385 full text"}, {"id": "data:geo:GSE65478", "type": "dataset", "label": "GEO GSE65478"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-26981385", "type": "extraction", "used": ["source:pmid:26981385"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE65478", "type": "accession_resolution", "used": ["data:geo:GSE65478"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:26981385", "parent_hash": "sha256:aa769440076c441d5eb15b94c41f4cb51d35654e1584476f4bcb6256920546a5", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE65478 licence not read", "asset:data:geo:GSE65478 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "chip_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["h massive parallel sequencing (FAIRE-seq and ChIP-seq, respectively). We employed these data for t", "y resistant and metastatic PCa. Furthermore, ChIP-seq data from primary and resistant PCa were gen", "rovide comparative analysis of FAIRE-seq and ChIP-seq data.", "node metastases (Fig. 1). Androgen Receptor ChIP-seq was carried out on four primary and three re"], "order_basis": "paper_text_order:616", "id": "assay:1"}, {"role": "analysis", "definition_id": "contingency_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["contingency_table", "chi_square_test"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The number of peaks within 5 kb from the nearest TSS was significantly higher in FAIRE-seq data as compared to ChIP-seq data and the number of peaks further than 50 kb from a TSS was higher in ChIP-seq data than in FAIRE-seq (p < 10− 15 Fisher's exact; Fig. 2B-C)."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}