← All .science files
pmid:29119244
Enterovirus-associated changes in blood transcriptomic profiles of children with genetic susceptibility to type 1 diabetes.
Niina Lietzen · Le T T An · Maria K Jaakkola · Henna Kallionpää · Sami Oikarinen · Juha Mykkänen · Mikael Knip · Riitta Veijola · Jorma Ilonen · Jorma Toppari · Heikki Hyöty · Riitta Lahesmaa · Laura L Elo
Diabetologia · 2018 doi:10.1007/s00125-017-4460-7
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
paper object · 10 fields
authors array · 13 items
claims array · 3 items
[0] object · 6 fields
[1] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[2] object · 6 fields
evidence array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
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
assets array · 3 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 0 items
[2] object · 15 fields
structure object · 15 fields
sample_accessions array · 724 items
gaps array · 4 items
analysis object · 4 fields
methods array · 2 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 1 field
data_shapes array · 1 item
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 2 items
resolved_accessions array · 2 items
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
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
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 8 items
assays array · 3 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[1] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 4 items
[2] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29119244", "kind": "science-record", "revision": 7, "content_hash": "sha256:cdb8a7c6d748e5eafcd54a86a5702b10700cd267522d2cd36ff6ce70ffc973e2", "created_at": "2026-11-01T15:40:29Z", "updated_at": "2026-11-01T22:43:09Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Enterovirus-associated changes in blood transcriptomic profiles of children with genetic susceptibility to type 1 diabetes.", "doi": "10.1007/s00125-017-4460-7", "pmid": "29119244", "authors": ["Niina Lietzen", "Le T T An", "Maria K Jaakkola", "Henna Kallionpää", "Sami Oikarinen", "Juha Mykkänen", "Mikael Knip", "Riitta Veijola", "Jorma Ilonen", "Jorma Toppari", "Heikki Hyöty", "Riitta Lahesmaa", "Laura L Elo"], "journal": "Diabetologia", "year": 2018, "abstract": "AIMS/HYPOTHESIS: Enterovirus infections have been associated with the development of type 1 diabetes in multiple studies, but little is known about enterovirus-induced responses in children at risk for developing type 1 diabetes. Our aim was to use genome-wide transcriptomics data to characterise enterovirus-associated changes in whole-blood samples from children with genetic susceptibility to type 1 diabetes.\nMETHODS: Longitudinal whole-blood samples (356 samples in total) collected from 28 pairs of children at increased risk for developing type 1 diabetes were screened for the presence of enterovirus RNA. Seven of these samples were detected as enterovirus-positive, each of them collected from a different child, and transcriptomics data from these children were analysed to understand the individual-level responses associated with enterovirus infections. Transcript clusters with peaking or dropping expression at the time of enterovirus positivity were selected as the enterovirus-associated signals.\nRESULTS: Strong signs of activation of an interferon response were detected in four children at enterovirus positivity, while transcriptomic changes in the other three children indicated activation of adaptive immune responses. Additionally, a large proportion of the enterovirus-associated changes were specific to individuals. An enterovirus-induced signature was built using 339 genes peaking at enterovirus positivity in four of the children, and 77 of these genes were also upregulated in human peripheral blood mononuclear cells infected in vitro with different enteroviruses. These genes separated the four enterovirus-positive samples clearly from the remaining 352 blood samples analysed.\nCONCLUSIONS/INTERPRETATION: We have, for the first time, identified enterovirus-associated transcriptomic profiles in whole-blood samples from children with genetic susceptibility to type 1 diabetes. Our results provide a starting point for understanding the individual responses to enterovirus infections in blood and their potential connection to the development of type 1 diabetes.\nDATA AVAILABILITY: The datasets analysed during the current study are included in this published article and its supplementary information files ( www.btk.fi/research/computational-biomedicine/1234-2 ) or are available from the Gene Expression Omnibus (GEO) repository (accession GSE30211).", "claims": [{"id": "claim-method", "statement": "The z score profiles were clustered separately for each child using the k-means algorithm, with Pearson correlation and k = 10.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29119244", "locator": "sections[4] \"Microarray data processing and clustering\" paragraph 3", "quote": "The z score profiles were clustered separately for each child using the k-means algorithm, with Pearson correlation and k = 10."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29119244", "locator": "sections[15] \"notes\" paragraph 1", "quote": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Genome-wide transcriptomics of longitudinal whole-blood samples was used to build a 339-gene enterovirus-induced signature, including 77 genes upregulated in human peripheral blood mononuclear cells infected in vitro with three different enteroviruses; the source datasets are available from GEO accession GSE30211.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:29119244", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Longitudinal whole-blood samples (356 samples in total) collected from 28 pairs of children at increased risk for developing type 1 diabetes were screened for the presence of enterovirus RNA."}, {"asset": "source:pmid:29119244", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "An enterovirus-induced signature was built using 339 genes peaking at enterovirus positivity in four of the children, and 77 of these genes were also upregulated in human peripheral blood mononuclear cells infected in vitro with different enteroviruses."}, {"asset": "source:pmid:29119244", "locator": "sections[0] \"Abstract\" paragraph 5", "quote": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the Gene Expression Omnibus (GEO) repository (accession GSE30211)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Genome-wide transcriptomics of longitudinal whole-blood samples was used to build a 339-gene enterovirus-induced signature, including 77 genes upregulated in human peripheral blood mononuclear cells infected in vitro with three different enteroviruses; the source datasets are available from GEO accession GSE30211.", "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:29119244"], "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:E-MTAB-1724"], "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:E-MTAB-1724"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29119244", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s00125-017-4460-7", "sha256": "sha256:d53b243362245fa237e7886a28917e486b0a65c1b1555e4747f3fcdc62db877c", "bytes": 29221, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s00125-017-4460-7", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6448961", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:E-MTAB-1724", "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=E-MTAB-1724", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "E-MTAB-1724", "version": null, "note": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211).", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": null, "resolution_checked_at": "2026-10-31T18:28:57Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE30211", "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=GSE30211", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE30211", "version": null, "note": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1063599", "GSM1063600", "GSM1063601", "GSM1063602", "GSM1063603", "GSM1063604", "GSM1063605", "GSM1063606", "GSM1063607", "GSM1063608", "GSM1063609", "GSM1063610", "GSM1063611", "GSM1063612", "GSM1063613", "GSM1063614", "GSM1063615", "GSM1063616", "GSM1063617", "GSM1063618", "GSM1063619", "GSM1063620", "GSM1063621", "GSM1063622", "GSM1063623", "GSM1063624", "GSM1063625", "GSM1063626", "GSM1063627", "GSM1063628", "GSM1063629", "GSM1063630", "GSM1063631", "GSM1063632", "GSM1063633", "GSM1063634", "GSM1063635", "GSM1063636", "GSM1063637", "GSM1063638", "GSM1063639", "GSM1063640", "GSM1063641", "GSM1063642", "GSM1063643", "GSM1063644", "GSM1063645", "GSM1063646", "GSM1063647", "GSM1063648", "GSM1063649", "GSM1063650", "GSM1063651", "GSM1063652", "GSM1063653", "GSM1063654", "GSM1063655", "GSM1063656", "GSM1063657", "GSM1063658", "GSM1063659", "GSM1063660", "GSM1063661", "GSM1063662", "GSM1063663", "GSM1063664", "GSM1063665", "GSM1063666", "GSM1063667", "GSM1063668", "GSM1063669", "GSM1063670", "GSM1063671", "GSM1063672", "GSM1063673", "GSM1063674", "GSM1063675", "GSM1063676", "GSM1063677", "GSM1063678", "GSM1063679", "GSM1063680", "GSM1063681", "GSM1063682", "GSM1063709", "GSM1063710", "GSM1063711", "GSM1063712", "GSM1063713", "GSM1063714", "GSM1063715", "GSM1063716", "GSM1063717", "GSM1063718", "GSM1063719", "GSM1063720", "GSM1063721", "GSM1063722", "GSM1063723", "GSM1063724", "GSM1063725", "GSM1063726", "GSM1063727", "GSM1063728", "GSM1063729", "GSM1063730", "GSM1063731", "GSM1063732", "GSM1063733", "GSM1063734", "GSM1063735", "GSM1063736", "GSM1063737", "GSM1063738", "GSM1063739", "GSM1063740", "GSM1063741", "GSM1063742", "GSM1063743", "GSM1063744", "GSM1063745", "GSM1063746", "GSM1063747", "GSM1063748", "GSM1063749", "GSM1063750", "GSM1063751", "GSM1063752", "GSM1063753", "GSM1063754", "GSM1063755", "GSM1063756", "GSM1063757", "GSM1063758", "GSM1063759", "GSM1063760", "GSM1063761", "GSM1063762", "GSM1063763", "GSM1063764", "GSM1063765", "GSM1063766", "GSM1063767", "GSM1063768", "GSM1063769", "GSM1063770", "GSM1063771", "GSM1063772", "GSM1063773", "GSM1063774", "GSM1063775", "GSM1063776", "GSM1063777", "GSM1063778", "GSM1063779", "GSM1063780", "GSM1063781", "GSM1063782", "GSM1063783", "GSM1063784", "GSM1063785", "GSM1063786", "GSM1063787", "GSM1063788", "GSM1063789", "GSM1063790", "GSM1063791", "GSM1063792", "GSM1063793", "GSM1063794", "GSM1063795", "GSM1063796", "GSM1063797", "GSM1063798", "GSM1063799", "GSM1063800", "GSM1063801", "GSM1063802", "GSM1063803", "GSM1063804", "GSM1063805", "GSM1063806", "GSM1063807", "GSM1063808", "GSM1063809", "GSM1063810", "GSM1063811", "GSM1063812", "GSM1063813", "GSM1063814", "GSM1063815", "GSM1063816", "GSM1063817", "GSM1063818", "GSM1063819", "GSM1063820", "GSM1063821", "GSM1063822", "GSM1063823", "GSM1063824", "GSM1063825", "GSM1063826", "GSM1063827", "GSM1063828", "GSM1063829", "GSM1063830", "GSM1063831", "GSM1063832", "GSM1063833", "GSM1063834", "GSM1063835", "GSM1063836", "GSM1063837", "GSM1063838", "GSM1063839", "GSM1063840", "GSM1063841", "GSM1063842", "GSM1063843", "GSM1063844", "GSM1063845", "GSM1063846", "GSM1063847", "GSM1063848", "GSM1063849", "GSM1063850", "GSM1063851", "GSM1063852", "GSM1063853", "GSM1063854", "GSM1063855", "GSM1063856", "GSM1063857", "GSM1063858", "GSM1063859", "GSM1063860", "GSM1063861", "GSM1063862", "GSM1063863", "GSM1063864", "GSM1063865", "GSM1063866", "GSM1063867", "GSM1063868", "GSM1063869", "GSM1063870", "GSM1063871", "GSM1063872", "GSM1063873", "GSM1063874", "GSM1063875", "GSM1063876", "GSM1063877", "GSM1063878", "GSM1063879", "GSM1063880", "GSM1063881", "GSM1063882", "GSM1063883", "GSM1063884", "GSM1063885", "GSM1063886", "GSM1063887", "GSM1063888", "GSM1063889", "GSM1063890", "GSM1063891", "GSM1063892", "GSM1063893", "GSM1063894", "GSM1063895", "GSM1063896", "GSM1063897", "GSM1063898", "GSM1063899", "GSM1063900", "GSM1063901", "GSM1063902", "GSM1063903", "GSM1063904", "GSM1063905", "GSM1063906", "GSM1063907", "GSM1063908", "GSM1063909", "GSM1063910", "GSM1063911", "GSM1063912", "GSM1063913", "GSM1063914", "GSM1063915", "GSM1063916", "GSM1063917", "GSM1063918", "GSM1063919", "GSM1063920", "GSM1063921", "GSM1063922", "GSM1063923", "GSM1063924", "GSM1063925", "GSM1063926", "GSM1063927", "GSM1063928", "GSM1063929", "GSM1063930", "GSM1063931", "GSM1063932", "GSM1063933", "GSM1063934", "GSM1063935", "GSM1063936", "GSM1063937", "GSM1063938", "GSM1063939", "GSM1063940", "GSM1063941", "GSM1063942", "GSM1063943", "GSM1063944", "GSM1063945", "GSM1063946", "GSM1063947", "GSM1063948", "GSM1063949", "GSM1063950", "GSM1063951", "GSM1063952", "GSM1063953", "GSM1063954", "GSM1063955", "GSM1063956", "GSM1063957", "GSM1063958", "GSM1063959", "GSM1063960", "GSM1063961", "GSM1063962", "GSM1063963", "GSM1063964", "GSM1063965", "GSM1063966", "GSM1063967", "GSM1063968", "GSM1063969", "GSM1063970", "GSM1063971", "GSM1063972", "GSM1063973", "GSM1063974", "GSM1063975", "GSM1063976", "GSM1063977", "GSM1063978", "GSM1063979", "GSM1063980", "GSM747554", "GSM747555", "GSM747556", "GSM747557", "GSM747558", "GSM747559", "GSM747560", "GSM747561", "GSM747562", "GSM747563", "GSM747564", "GSM747565", "GSM747566", "GSM747567", "GSM747568", "GSM747569", "GSM747570", "GSM747571", "GSM747572", "GSM747573", "GSM747574", "GSM747575", "GSM747576", "GSM747577", "GSM747578", "GSM747579", "GSM747580", "GSM747581", "GSM747582", "GSM747583", "GSM747584", "GSM747585", "GSM747586", "GSM747587", "GSM747588", "GSM747589", "GSM747590", "GSM747591", "GSM747592", "GSM747593", "GSM747594", "GSM747595", "GSM747596", "GSM747597", "GSM747598", "GSM747599", "GSM747600", "GSM747601", "GSM747602", "GSM747603", "GSM747604", "GSM747605", "GSM747606", "GSM747607", "GSM747608", "GSM747609", "GSM747610", "GSM747611", "GSM747612", "GSM747613", "GSM747614", "GSM747615", "GSM747616", "GSM747617", "GSM747618", "GSM747619", "GSM747620", "GSM747621", "GSM747622", "GSM747623", "GSM747624", "GSM747625", "GSM747626", "GSM747627", "GSM747628", "GSM747629", "GSM747630", "GSM747631", "GSM747632", "GSM747633", "GSM747634", "GSM747635", "GSM747636", "GSM747637", "GSM747638", "GSM747639", "GSM747640", "GSM747641", "GSM747642", "GSM747643", "GSM747644", "GSM747645", "GSM747646", "GSM747647", "GSM747648", "GSM747649", "GSM747650", "GSM747651", "GSM747652", "GSM747653", "GSM747654", "GSM747655", "GSM747656", "GSM747657", "GSM747658", "GSM747659", "GSM747660", "GSM747661", "GSM747662", "GSM747663", "GSM747664", "GSM747665", "GSM747666", "GSM747667", "GSM747668", "GSM747669", "GSM747670", "GSM747671", "GSM747672", "GSM747673", "GSM747674", "GSM747675", "GSM747676", "GSM747677", "GSM747678", "GSM747679", "GSM747680", "GSM747681", "GSM747682", "GSM747683", "GSM747684", "GSM747685", "GSM747686", "GSM747687", "GSM747688", "GSM747689", "GSM747690", "GSM747691", "GSM747692", "GSM747693", "GSM747694", "GSM747695", "GSM747696", "GSM747697", "GSM747698", "GSM747699", "GSM747700", "GSM747701", "GSM747702", "GSM747703", "GSM747704", "GSM747705", "GSM747706", "GSM747707", "GSM747708", "GSM747709", "GSM747710", "GSM747711", "GSM747712", "GSM747713", "GSM747714", "GSM747715", "GSM747716", "GSM747717", "GSM747718", "GSM747719", "GSM747720", "GSM747721", "GSM747722", "GSM747723", "GSM747724", "GSM747725", "GSM747726", "GSM747727", "GSM747728", "GSM747729", "GSM747730", "GSM747731", "GSM747732", "GSM747733", "GSM747734", "GSM747735", "GSM747736", "GSM747737", "GSM747738", "GSM747739", "GSM747740", "GSM747741", "GSM747742", "GSM747743", "GSM747744", "GSM747745", "GSM747746", "GSM747747", "GSM747748", "GSM747749", "GSM747750", "GSM747751", "GSM747752", "GSM747753", "GSM747754", "GSM747755", "GSM747756", "GSM747757", "GSM747758", "GSM747759", "GSM747760", "GSM747761", "GSM747762", "GSM747763", "GSM747764", "GSM747765", "GSM747766", "GSM747767", "GSM747768", "GSM747769", "GSM747770", "GSM747771", "GSM747772", "GSM747773", "GSM747774", "GSM747775", "GSM747776", "GSM747777", "GSM747778", "GSM747779", "GSM747780", "GSM747781", "GSM747782", "GSM747783", "GSM747784", "GSM747785", "GSM747786", "GSM747787", "GSM747788", "GSM747789", "GSM747790", "GSM747791", "GSM747792", "GSM747793", "GSM747794", "GSM747795", "GSM747796", "GSM747797", "GSM747798", "GSM747799", "GSM747800", "GSM747801", "GSM747802", "GSM747803", "GSM747804", "GSM747805", "GSM747806", "GSM747807", "GSM747808", "GSM747809", "GSM747810", "GSM747811", "GSM747812", "GSM747813", "GSM747814", "GSM747815", "GSM747816", "GSM747817", "GSM747818", "GSM747819", "GSM747820", "GSM747821", "GSM747822", "GSM747823", "GSM747824", "GSM747825", "GSM747826", "GSM747827", "GSM747828", "GSM747829", "GSM747830", "GSM747831", "GSM747832", "GSM747833", "GSM747834", "GSM747835", "GSM747836", "GSM747837", "GSM747838", "GSM747839", "GSM747840", "GSM747841", "GSM747842", "GSM747843", "GSM747844", "GSM747845", "GSM747846", "GSM747847", "GSM747848", "GSM747849", "GSM747850", "GSM747851", "GSM747852", "GSM747853", "GSM747854", "GSM747855", "GSM747856", "GSM747857", "GSM747858", "GSM747859", "GSM747860", "GSM747861", "GSM747862", "GSM747863", "GSM747864", "GSM747865", "GSM747866", "GSM747867", "GSM747868", "GSM747869", "GSM747870", "GSM747871", "GSM747872", "GSM747873", "GSM747874", "GSM747875", "GSM747876", "GSM747877", "GSM747878", "GSM747879", "GSM747880", "GSM747881", "GSM747882", "GSM747883", "GSM747884", "GSM747885", "GSM747886", "GSM747887", "GSM747888", "GSM747889", "GSM747890", "GSM747891", "GSM747892", "GSM747893", "GSM747894", "GSM747895", "GSM747896", "GSM747897", "GSM747898", "GSM747899", "GSM747900", "GSM747901", "GSM747902", "GSM747903", "GSM747904", "GSM747905", "GSM747906", "GSM747907", "GSM747908", "GSM747909", "GSM747910", "GSM747911", "GSM747912", "GSM747913", "GSM747914", "GSM747915", "GSM747916", "GSM747917", "GSM747918", "GSM747919", "GSM747920", "GSM747921"], "sample_count": 724, "group_sizes": null, "group_sizes_basis": null, "platform": "6947;13667;6102", "taxon": "Homo sapiens", "title": "Gene expression changes during Type 1 diabetes pathogenesis", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:E-MTAB-1724 not downloaded", "asset:data:geo:E-MTAB-1724 licence not read", "asset:data:geo:GSE30211 not downloaded", "asset:data:geo:GSE30211 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The z score profiles were clustered separately for each child using the k-means algorithm, with Pearson correlation and k = 10."}}, {"id": "method-2", "family": "clustering", "specific": "kmeans", "label": "Clustering", "dsl_operations": ["kmeans_fit"], "missing_operations": [], "expressible": true, "parameters": {"n_clusters": "Pearson correlation and k = 10"}, "data_shapes": ["feature_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "k-means"}}], "targets": [], "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": ["pearson_r"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pearson."}, "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": ["GSE30211", "E-MTAB-1724"], "resolved_accessions": ["GSE30211", "E-MTAB-1724"], "statements": ["The datasets analysed during the current study are included in this published article and its supplementary information files (www.btk.fi/research/computational-biomedicine/1234-2) or are available from the GEO repository (accession GSE30211)."], "basis": "The paper names GSE30211, E-MTAB-1724 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["pearson_r"], "assets": ["source:pmid:29119244", "data:geo:E-MTAB-1724"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:E-MTAB-1724"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:32:43Z", "independence": "same_provider"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 8, "usage": {"prompt_tokens": 53386, "completion_tokens": 4870, "cached_tokens": 1560}}, "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:29119244", "type": "paper", "label": "pmid:29119244"}, {"id": "source:pmid:29119244", "type": "manuscript", "label": "PMID 29119244 full text"}, {"id": "data:geo:E-MTAB-1724", "type": "dataset", "label": "GEO E-MTAB-1724"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:29119244", "type": "paper", "label": "pmid:29119244"}, {"id": "source:pmid:29119244", "type": "manuscript", "label": "PMID 29119244 full text"}, {"id": "data:geo:E-MTAB-1724", "type": "dataset", "label": "GEO E-MTAB-1724"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-29119244", "type": "extraction", "used": ["source:pmid:29119244"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-E-MTAB-1724", "type": "accession_resolution", "used": ["data:geo:E-MTAB-1724"], "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:29119244", "parent_hash": "sha256:a4dce2746cad3c5b1f39c90c7324d2988a129f959314f3a184ac6796d9363e3c", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:E-MTAB-1724 licence not read", "asset:data:geo:E-MTAB-1724 not downloaded", "asset:data:geo:GSE30211 licence not read", "asset:data:geo:GSE30211 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "clinical_cohort", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["rise enterovirus-associated changes in whole-blood samples from children with genetic susceptibility to type", "-associated transcriptomic profiles in whole-blood samples from children with genetic susceptibility to type"], "order_basis": "paper_text_order:417", "id": "assay:1"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Study participants and sample selection The microarray data used in this study are part of the data", "] from the same 356 RNA samples used for the microarray analyses. The RT-PCR was carried out in thre", "tive, each collected from a different child. Microarray data of all 44 samples from these enteroviru", "ronic supplementary material [ESM] Table 1). Microarray data processing and clustering The microarra"], "order_basis": "paper_text_order:2521", "id": "assay:2"}, {"role": "analysis", "definition_id": "correlation_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["pearson_r"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The z score profiles were clustered separately for each child using the k-means algorithm, with Pearson correlation and k = 10."], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}