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pmid:26693509

Identification of genes escaping X inactivation by allelic expression analysis in a novel hybrid mouse model.

Joel B Berletch · Wenxiu Ma · Fan Yang · Jay Shendure · William S Noble · Christine M Disteche · Xinxian Deng

Data in brief · 2015 doi:10.1016/j.dib.2015.10.033

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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title
Identification of genes escaping X inactivation by allelic expression analysis in a novel hybrid mouse model.
doi
10.1016/j.dib.2015.10.033
pmid
26693509
authors array · 7 items
[0]
Joel B Berletch
[1]
Wenxiu Ma
[2]
Fan Yang
[3]
Jay Shendure
[4]
William S Noble
[5]
Christine M Disteche
[6]
Xinxian Deng
journal
Data in brief
year
2015
abstract
X chromosome inactivation (XCI) is a female-specific mechanism that serves to balance gene dosage between the sexes whereby one X chromosome in females is inactivated during early development. Despite this silencing, a small portion of genes escape inactivation and remain expressed from the inactive X (Xi). Little is known about the distribution of escape from XCI in different tissues in vivo and about the mechanisms that control tissue-specific differences. Using a new binomial model in conjunction with a mouse model with identifiable alleles and skewed X inactivation we are able to survey genes that escape XCI in vivo. We show that escape from X inactivation can be a common feature of some genes, whereas others escape in a tissue specific manner. Furthermore, we characterize the chromatin environment of escape genes and show that expression from the Xi correlates with factors associated with open chromatin and that CTCF co-localizes with escape genes. Here, we provide a detailed description of the experimental design and data analysis pipeline we used to assay allele-specific expression and epigenetic characteristics of genes escaping X inactivation. The data is publicly available through the GEO database under ascension numbers GSM1014171, GSE44255, and GSE59779. Interpretation and discussion of these data are included in a previously published study (Berletch et al., 2015) [1].
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To identify escape genes and estimate the statistical confidence of escape probability of X-linked genes, we developed the following binomial model.
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To identify escape genes and estimate the statistical confidence of escape probability of X-linked genes, we developed the following binomial model.
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Using a new binomial model in conjunction with a mouse model with identifiable alleles and skewed X inactivation we are able to survey genes that escape XCI in vivo.
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Using a new binomial model in conjunction with a mouse model with identifiable alleles and skewed X inactivation we are able to survey genes that escape XCI in vivo.
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Using a new binomial model in conjunction with a mouse model with identifiable alleles and skewed X inactivation we are able to survey genes that escape XCI in vivo.
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1.06
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[8] array · 10 items
[0]
Brain
[1]
CTCF ChIP-seq
[2]
1
[3]
100
[4]
552,106,670
[5]
51
[6]
43
[7]
30
[8]
27
[9]
1.43
[9] array · 10 items
[0]
Patski
[1]
CTCF ChIP-seq
[2]
1
[3]
36
[4]
87,390,982
[5]
56
[6]
22
[7]
20
[8]
58
[9]
1.13
[10] array · 10 items
[0]
Brain
[1]
PolII ChIP-seq
[2]
1
[3]
100
[4]
301,496,879
[5]
44
[6]
40
[7]
32
[8]
28
[9]
1.26
[11] array · 10 items
[0]
Patski
[1]
PolII ChIP-seq
[2]
1
[3]
36
[4]
132,743,111
[5]
48
[6]
22
[7]
20
[8]
58
[9]
1.11
[12] array · 10 items
[0]
Patski
[1]
Dnase-seq
[2]
1
[3]
36
[4]
36,361,296
[5]
65
[6]
18
[7]
17
[8]
65
[9]
1.09
[13] array · 10 items
[0]
Patski
[1]
Dnase-seq
[2]
2
[3]
36
[4]
38,191,194
[5]
68
[6]
19
[7]
18
[8]
63
[9]
1.09
locator
section[9]/table-wrap[2]#t0015
[9] object · 16 fields
id
asset:table:pmid:26693509:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:bb525348d096a6691cdc5f32879a57130d2d781d6c5142547b4703a12bd35729
bytes
502
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[1]#t0020
version
null
note
ChIP-seq peak numbers.
structure object · 5 fields
pmcid
PMC4659812
section_index
11
section_title
ChIP-seq analysis
row_count
5
column_count
7
table object · 8 fields
label
Table 4
caption
ChIP-seq peak numbers.
rows array · 5 items
[0] array · 7 items
[0]
Sample
[1]
Protein
[2]
# Total peaksa
[3]
# Total X-linked peaksb
[4]
# Xa-preferredc
[5]
# Xi-preferredc
[6]
# Both-preferredc
[1] array · 7 items
[0]
Brain
[1]
CTCF
[2]
119,860
[3]
2508
[4]
1060
[5]
211
[6]
365
[2] array · 7 items
[0]
Patski
[1]
CTCF
[2]
27,810
[3]
606
[4]
126
[5]
86
[6]
160
[3] array · 7 items
[0]
Brain
[1]
PolIIS5p
[2]
58,576
[3]
792
[4]
133
[5]
37
[6]
267
[4] array · 7 items
[0]
Patski
[1]
PolIIS5p
[2]
45,714
[3]
550
[4]
180
[5]
80
[6]
86
locator
section[11]/table-wrap[1]#t0020
gaps array · 8 items
[0]
asset:data:geo:GSE44255 not downloaded
[1]
asset:data:geo:GSE44255 licence not read
[2]
asset:data:geo:GSE59779 not downloaded
[3]
asset:data:geo:GSE59779 licence not read
[4]
asset:data:geo:GSM1014171 not downloaded
[5]
asset:data:geo:GSM1014171 licence not read
[6]
asset:data:geo:GSM970866 not downloaded
[7]
asset:data:geo:GSM970866 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
family
null
specific
null
label
binomial model
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
To identify escape genes and estimate the statistical confidence of escape probability of X-linked genes, we developed the following binomial model.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (binomial model), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
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 · 4 items
[0]
GSM970866
[1]
GSM1014171
[2]
GSE44255
[3]
GSE59779
resolved_accessions array · 4 items
[0]
GSM970866
[1]
GSM1014171
[2]
GSE44255
[3]
GSE59779
statements array · 1 item
[0]
The data is publicly available through the GEO database under ascension numbers GSM1014171, GSE44255, and GSE59779.
basis
The paper names GSM970866, GSM1014171, GSE44255, GSE59779 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 7 items
[0]
source:pmid:26693509
[1]
data:geo:GSE44255
[2]
asset:table:pmid:26693509:1
[3]
asset:table:pmid:26693509:2
[4]
asset:table:pmid:26693509:3
[5]
asset:table:pmid:26693509:4
[6]
asset:table:pmid:26693509:5
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:GSE44255
gaps array · 1 item
[0]
method:not_determinable
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
2026-10-31T18:26:30Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
8
usage object · 3 fields
prompt_tokens
49100
completion_tokens
5294
cached_tokens
2080
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:26693509
type
paper
label
pmid:26693509
[1] object · 3 fields
id
source:pmid:26693509
type
manuscript
label
PMID 26693509 full text
[2] object · 3 fields
id
data:geo:GSE44255
type
dataset
label
GEO GSE44255
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:26693509
type
paper
label
pmid:26693509
[1] object · 3 fields
id
source:pmid:26693509
type
manuscript
label
PMID 26693509 full text
[2] object · 3 fields
id
data:geo:GSE44255
type
dataset
label
GEO GSE44255
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-26693509
type
extraction
used array · 1 item
[0]
source:pmid:26693509
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE44255
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE44255
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:26693509
parent_hash
sha256:a0f4e6055e4910afce9a3cc7c2ad1d5eb979899ea2f06e2447e4f31e2cbc8ce8
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE44255 licence not read
[1]
asset:data:geo:GSE44255 not downloaded
[2]
asset:data:geo:GSE59779 licence not read
[3]
asset:data:geo:GSE59779 not downloaded
[4]
asset:data:geo:GSM1014171 licence not read
[5]
asset:data:geo:GSM1014171 not downloaded
[6]
asset:data:geo:GSM970866 licence not read
[7]
asset:data:geo:GSM970866 not downloaded
[8]
execution.not_run
[9]
method.reader_named_unmapped
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
animal_model
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]
llelic expression analysis in a novel hybrid mouse model.
[1]
g a new binomial model in conjunction with a mouse model with identifiable alleles and skewed X inact
[2]
tion of escape from XCI in different tissues in vivo and about the mechanisms that control tissue
[3]
we are able to survey genes that escape XCI in vivo. We show that escape from X inactivation can
order_basis
paper_text_order:52
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
he Patski cell line was immortalized and was cultured in Dulbecco׳s Modified Eagle׳s Medium (DMEM) wi
order_basis
paper_text_order:2781
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:26693509", "kind": "science-record", "revision": 6, "content_hash": "sha256:c9b9babb5b22b7471493061e2e6dee97a1395072e4a7a1e2cd4669fdd70ae173", "created_at": "2026-11-01T15:40:14Z", "updated_at": "2026-11-01T21:20:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of genes escaping X inactivation by allelic expression analysis in a novel hybrid mouse model.", "doi": "10.1016/j.dib.2015.10.033", "pmid": "26693509", "authors": ["Joel B Berletch", "Wenxiu Ma", "Fan Yang", "Jay Shendure", "William S Noble", "Christine M Disteche", "Xinxian Deng"], "journal": "Data in brief", "year": 2015, "abstract": "X chromosome inactivation (XCI) is a female-specific mechanism that serves to balance gene dosage between the sexes whereby one X chromosome in females is inactivated during early development. Despite this silencing, a small portion of genes escape inactivation and remain expressed from the inactive X (Xi). Little is known about the distribution of escape from XCI in different tissues in vivo and about the mechanisms that control tissue-specific differences. Using a new binomial model in conjunction with a mouse model with identifiable alleles and skewed X inactivation we are able to survey genes that escape XCI in vivo. We show that escape from X inactivation can be a common feature of some genes, whereas others escape in a tissue specific manner. Furthermore, we characterize the chromatin environment of escape genes and show that expression from the Xi correlates with factors associated with open chromatin and that CTCF co-localizes with escape genes. Here, we provide a detailed description of the experimental design and data analysis pipeline we used to assay allele-specific expression and epigenetic characteristics of genes escaping X inactivation. The data is publicly available through the GEO database under ascension numbers GSM1014171, GSE44255, and GSE59779. 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