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pmid:40746896

OTUD7B Stabilization by METTL14-Mediated m6A Methylation Drives HIF-1α Expression in Esophageal Squamous Cell Carcinoma.

Oncology research · 2025 doi:10.32604/or.2025.061301

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:40746896
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science-record
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T10:25:52Z
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2026-11-01T14:01:45Z
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corpus-assay-engine
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sep_to_sci_v1
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paper object · 10 fields
state
partial
title
OTUD7B Stabilization by METTL14-Mediated m6A Methylation Drives HIF-1α Expression in Esophageal Squamous Cell Carcinoma.
doi
10.32604/or.2025.061301
pmid
40746896
authors
null
journal
Oncology research
year
2025
abstract
null
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[0] object · 6 fields
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the headline numerical result the paper states for its main finding
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qualitative
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null
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null
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[1]
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partial
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the headline numerical result the paper states for its main finding
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[0] object · 13 fields
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read_published_estimate
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name
Read the published estimate and its interval from the source
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complete
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null
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The number a replication must land on, and the sentence it came from.
parameters object · 0 fields
inputs array · 1 item
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source:pmid:40746896
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the published estimate, its unit and its interval
instruments array · 0 items
reagents array · 0 items
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obtain_source_data
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Obtain the source data behind the published result
kind
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The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
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the source data with its provenance
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Run the analysis programme
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no owned computational capability is bound to this experiment
description
Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:40746896
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Antibodies used for western blotting
structure object · 5 fields
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PMC12308248
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8
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Western Blotting
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7
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table object · 8 fields
label
Table 1
caption
Antibodies used for western blotting
rows array · 7 items
[0] array · 4 items
[0]
Antibody
[1]
Manufacturer
[2]
Cat. No.
[3]
Dilution
[1] array · 4 items
[0]
Anti-METTL14
[1]
Abcam (Cambridge, MA, USA)
[2]
ab309096
[3]
1:1000
[2] array · 4 items
[0]
Anti-OTUD7B
[1]
ProSci (Poway, CA, USA)
[2]
57-615
[3]
1:1000
[3] array · 4 items
[0]
Anti-β-actin
[1]
Beyotime
[2]
AF5003
[3]
1:2000
[4] array · 4 items
[0]
Anti-YTHDF1
[1]
Beyotime
[2]
AF8382
[3]
1:1000
[5] array · 4 items
[0]
Anti-HIF-1α
[1]
Beyotime
[2]
AG2135
[3]
1:1000
[6] array · 4 items
[0]
HRP-labeled Goat Anti-Rabbit IgG
[1]
Beyotime
[2]
A0208
[3]
1:1000
locator
section[8]/table-wrap[1]#table-1
[2] object · 16 fields
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Primers used for PCR
structure object · 5 fields
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9
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RNA Extraction and RT-qPCR Analysis
row_count
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Table 2
caption
Primers used for PCR
rows array · 7 items
[0] array · 3 items
[0]
Gene
[1]
Sequence
[2]
[1] array · 3 items
[0]
METTL14 (Homo sapiens)
[1]
Forward
[2]
CTGAAAGTGCCGACAGCATTGG
[2] array · 3 items
[0]
[1]
Reverse
[2]
CTCTCCTTCATCCAGATACTTACG
[3] array · 3 items
[0]
β-actin (Homo sapiens)
[1]
Forward
[2]
CACCATTGGCAATGAGCGGTTC
[4] array · 3 items
[0]
[1]
Reverse
[2]
AGGTCTTTGCGGATGTCCACGT
[5] array · 3 items
[0]
OTUD7B (Homo sapiens)
[1]
Forward
[2]
TCTCAGAGGCTGCTTCCTTTGG
[6] array · 3 items
[0]
[1]
Reverse
[2]
CGCCTTTTCAACGCTTCCTTCTC
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section[9]/table-wrap[1]#table-2
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[0]
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{"parent_value":0,"unit":"","evidence":"","target_result":"The text states that METTL14 enhances OTUD7B mRNA stability and expression through m6A methylation, and that OTUD7B stabilizes HIF-1α by promoting deubiquitination, but it does not state a numerical result for this main finding.","number_stated":false}
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parent_value
0
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evidence
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The text states that METTL14 enhances OTUD7B mRNA stability and expression through m6A methylation, and that OTUD7B stabilizes HIF-1α by promoting deubiquitination, but it does not state a numerical result for this main finding.
number_stated
false
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2026-10-31T15:24:37.963112+00:00
[1] object · 8 fields
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minimax_alt
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replication-target-v2
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source_hash
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raw_response
<think>We need answer JSON only. Need carefully interpret task. Source text contains many numbers but headline numerical result for main finding? It seems no numeric headline result stated. Need assess. User registered target generic: "the headline numerical result the paper states for its main finding". Need find single numerical result paper states for main finding. Text abstract/results qualitative, no numeric experimental result. There are methods thresholds, dataset IDs, dates, sample counts, etc. We must not invent. Likely number_stated false, parent 0, unit "", evidence "", target_result explain no numerical headline result, only qualitative claims. Need exact JSON. Need ensure perhaps headline number could be "top 20 differentially m6A-modified genes" but that's methods, not main finding. "GSE179267" not result. "two m6A-enriched... one control" methodology, not headline numerical result. Registered target asks main finding headline numerical. No number stated. Need set false. target_result what text does state instead. Could quote / summarize main finding: METTL14-mediated m6A methylation stabilizes OTUD7B, which promotes deubiquitination and stabilization of HIF-1α in ESCC. Need output exact source? target_result need no exact quote requirement except evidence. Since evidence empty. We can state no headline numerical result; the paper states qualitative main finding. Need parent_value 0 numeric, unit "", evidence "". number_stated false. JSON no markdown. Ensure no hidden issue "single numerical result" perhaps study title no number. Main finding no number. Yes. Let's formulate target_result "No headline numerical result is stated for the main finding; the paper instead states that METTL14-mediated m6A methylation stabilizes OTUD7B, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC." This is paraphrase but permissible target_result. Could exact quote instead: "No numerical result is stated for the main finding. The text states: \"METTL14 plays a crucial role in the stabilization of OTUD7B through m6A methylation, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC.\"" Fine. Need no evidence because no number. Answer only JSON.</think> {"parent_value":0,"unit":"","evidence":"","target_result":"No headline numerical result is stated for the main finding. The paper instead states: \"METTL14 plays a crucial role in the stabilization of OTUD7B through m6A methylation, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC.\"","number_stated":false}
reading object · 6 fields
parent_value
0
unit
evidence
target_result
No headline numerical result is stated for the main finding. The paper instead states: "METTL14 plays a crucial role in the stabilization of OTUD7B through m6A methylation, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC."
number_stated
false
source_locator
null
recorded_at
2026-10-31T15:24:44.900582+00:00
agreement
true
disagreements object · 3 fields
target_result object · 3 fields
minimax
No headline numerical result is stated. The paper's main finding is qualitative: OTUD7B is identified as an m6A-driven oncogene correlated with METTL14 and HIF-1α, with METTL14 enhancing OTUD7B mRNA stability and expression through m6A methylation, while OTUD7B stabilizes HIF-1α by promoting deubiquitination.
minimax_alt
unknown
decisive
false
physical_methods object · 3 fields
minimax array · 7 items
[0]
dot blot assay
[1]
gene-specific m6A-PCR
[2]
clonogenic assay
[3]
Transwell assay
[4]
co-immunoprecipitation assay
[5]
quantitative real-time PCR (qPCR) using SYBR Green master mix on a QX100 Droplet Digital PCR system
[6]
comparative Ct (2−ΔΔCt) method
minimax_alt array · 6 items
[0]
dot blot assay
[1]
Gene-specific m6A-PCR
[2]
clonogenic assay
[3]
Transwell assay
[4]
co-immunoprecipitation assay
[5]
quantitative real-time PCR (qPCR)
decisive
false
analysis_methods object · 3 fields
minimax array · 7 items
[0]
differential gene expression analysis
[1]
limma software suite in R (v3.5.1)
[2]
Bayesian t-test statistics
[3]
absolute log2 fold change ≥1 and false discovery rate-adjusted p-value < 0.05
[4]
KEGG pathway analysis using R's ClusterProfiler toolkit
[5]
expression-correlation analysis using the GEPIA platform
[6]
SRAMP m6A site prediction
minimax_alt array · 7 items
[0]
differential gene expression analysis using the limma software suite in R (v3.5.1)
[1]
Bayesian t-test statistics with thresholds of absolute log2 fold change ≥1 and false discovery rate-adjusted p-value < 0.05
[2]
ggplot2 volcano plots and pheatmap clustered heatmaps
[3]
SRAMP m6A site prediction
[4]
KEGG pathway analysis using R’s ClusterProfiler toolkit
[5]
GEPIA interactive expression profiling and expression-correlation assessment
[6]
comparative Ct (2−ΔΔCt) method with GAPDH normalization
decisive
false
agreement_basis object · 2 fields
policy
decisive_fields
decisive_fields array · 4 items
[0]
work_type
[1]
number_stated
[2]
parent_value
[3]
unit
blinded
true
human_critique object · 5 fields
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null
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conflict_checked
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commentary
null
stages array · 7 items
[0] object · 4 fields
key
target_materials
status
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reason
null
evidence
null
[1] object · 4 fields
key
independent_readings
status
passed
reason
The independent readings are incomplete or disagree; the source evidence must resolve the difference.
evidence object · 1 field
provider_errors array · 0 items
[2] object · 4 fields
key
source_resolution
status
pending
reason
null
evidence
null
[3] object · 4 fields
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protocol_reconstruction
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null
[4] object · 4 fields
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null
[5] object · 4 fields
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null
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null
[6] object · 4 fields
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null
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null
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[1]
review.machine_critique.passed
execution object · 5 fields
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provenance object · 7 fields
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id
package:e7367f4963367e2f83954f53a66090f768f9eda7cb56105ed81126a6c40d95cb
type
sep_package
label
SEP v1 package for pmid:40746896
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:40746896
type
conversion
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package:e7367f4963367e2f83954f53a66090f768f9eda7cb56105ed81126a6c40d95cb
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lineage object · 4 fields
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gaps array · 13 items
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step:run_analysis input 'materials:the source data behind the published result in pmid:40746896' does not resolve to a declared asset
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targets
Complete file
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No.", "Dilution"], ["Anti-METTL14", "Abcam (Cambridge, MA, USA)", "ab309096", "1:1000"], ["Anti-OTUD7B", "ProSci (Poway, CA, USA)", "57-615", "1:1000"], ["Anti-β-actin", "Beyotime", "AF5003", "1:2000"], ["Anti-YTHDF1", "Beyotime", "AF8382", "1:1000"], ["Anti-HIF-1α", "Beyotime", "AG2135", "1:1000"], ["HRP-labeled Goat Anti-Rabbit IgG", "Beyotime", "A0208", "1:1000"]], "row_count": 7, "column_count": 4, "numeric_cells": 14, "header_rows": 1, "locator": "section[8]/table-wrap[1]#table-1"}}, {"id": "asset:table:pmid:40746896:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d1140054a45871123e20a74eb6f26fa36b36b79311399bd9508f518d7a1bc153", "bytes": 503, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#table-2", "version": null, "note": "Primers used for PCR", "structure": {"pmcid": "PMC12308248", "section_index": 9, "section_title": "RNA Extraction and RT-qPCR Analysis", "row_count": 7, "column_count": 3}, "table": {"label": "Table 2", "caption": "Primers used for PCR", "rows": [["Gene", "Sequence", ""], ["METTL14 (Homo sapiens)", "Forward", "CTGAAAGTGCCGACAGCATTGG"], ["", "Reverse", "CTCTCCTTCATCCAGATACTTACG"], ["β-actin (Homo sapiens)", "Forward", "CACCATTGGCAATGAGCGGTTC"], ["", "Reverse", "AGGTCTTTGCGGATGTCCACGT"], ["OTUD7B (Homo sapiens)", "Forward", "TCTCAGAGGCTGCTTCCTTTGG"], ["", "Reverse", "CGCCTTTTCAACGCTTCCTTCTC"]], "row_count": 7, "column_count": 3, "numeric_cells": 1, "header_rows": 1, "locator": "section[9]/table-wrap[1]#table-2"}}], "gaps": ["asset:source:pmid:40746896 not verified"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "targets"]}, "capability": {"state": "absent", "requirements": [], "gaps": ["capability"]}, "readiness": {"state": "partial", "tier": null, "blocking_axis": null, "blocked_on": null, "axes": {}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:40746896", "asset:table:pmid:40746896:1", "asset:table:pmid:40746896:2"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:40746896"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "passed", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "2f71756a7f592acc7ae5ff639ad788c83665fd891e2a517a00dcf59d7ef7afc8", "source_hash": "ec4cf1de586c034017d5401ceb43e796640eb8c163b662b00dd5a42d7a2884b6", "raw_response_sha256": "sha256:bf2722ac91091fe50b929753af0ff12d7b93eadad79e5f54bd661578a6bb298c", "raw_response_chars": 7016}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "bf96a8bf0bca8ae5b5f8236eadad237cf41890a2334637dbd6258b891dcd5c9c", "source_hash": "ec4cf1de586c034017d5401ceb43e796640eb8c163b662b00dd5a42d7a2884b6", "raw_response_sha256": "sha256:32a5abb0aa07473474cac4bf9e5fae55f32be39c7516a7dac98a124388a0d2ad", "raw_response_chars": 39599}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "3de72f38172b8f70463f87e4fa7d432d240bbddd9f8f87625833e9f1acb1031a", "source_hash": "ec4cf1de586c034017d5401ceb43e796640eb8c163b662b00dd5a42d7a2884b6", "raw_response": "{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The text states that METTL14 enhances OTUD7B mRNA stability and expression through m6A methylation, and that OTUD7B stabilizes HIF-1α by promoting deubiquitination, but it does not state a numerical result for this main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The text states that METTL14 enhances OTUD7B mRNA stability and expression through m6A methylation, and that OTUD7B stabilizes HIF-1α by promoting deubiquitination, but it does not state a numerical result for this main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:24:37.963112+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "a2d54080066234a44743298be5010cc0594e6109b4409486bef89be67cbe84aa", "source_hash": "ec4cf1de586c034017d5401ceb43e796640eb8c163b662b00dd5a42d7a2884b6", "raw_response": "<think>We need answer JSON only. Need carefully interpret task. Source text contains many numbers but headline numerical result for main finding? It seems no numeric headline result stated. Need assess. User registered target generic: \"the headline numerical result the paper states for its main finding\". Need find single numerical result paper states for main finding. Text abstract/results qualitative, no numeric experimental result. There are methods thresholds, dataset IDs, dates, sample counts, etc. We must not invent. Likely number_stated false, parent 0, unit \"\", evidence \"\", target_result explain no numerical headline result, only qualitative claims. Need exact JSON.\n\nNeed ensure perhaps headline number could be \"top 20 differentially m6A-modified genes\" but that's methods, not main finding. \"GSE179267\" not result. \"two m6A-enriched... one control\" methodology, not headline numerical result. Registered target asks main finding headline numerical. No number stated. Need set false. target_result what text does state instead. Could quote / summarize main finding: METTL14-mediated m6A methylation stabilizes OTUD7B, which promotes deubiquitination and stabilization of HIF-1α in ESCC. Need output exact source? target_result need no exact quote requirement except evidence. Since evidence empty. We can state no headline numerical result; the paper states qualitative main finding.\n\nNeed parent_value 0 numeric, unit \"\", evidence \"\". number_stated false. JSON no markdown. Ensure no hidden issue \"single numerical result\" perhaps study title no number. Main finding no number. Yes.\n\nLet's formulate target_result \"No headline numerical result is stated for the main finding; the paper instead states that METTL14-mediated m6A methylation stabilizes OTUD7B, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC.\" This is paraphrase but permissible target_result. Could exact quote instead: \"No numerical result is stated for the main finding. The text states: \\\"METTL14 plays a crucial role in the stabilization of OTUD7B through m6A methylation, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC.\\\"\" Fine. Need no evidence because no number. Answer only JSON.</think>\n\n{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"No headline numerical result is stated for the main finding. The paper instead states: \\\"METTL14 plays a crucial role in the stabilization of OTUD7B through m6A methylation, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC.\\\"\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "No headline numerical result is stated for the main finding. The paper instead states: \"METTL14 plays a crucial role in the stabilization of OTUD7B through m6A methylation, thereby inhibiting the ubiquitin-proteasomal degradation of HIF-1α in ESCC.\"", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:24:44.900582+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "No headline numerical result is stated. The paper's main finding is qualitative: OTUD7B is identified as an m6A-driven oncogene correlated with METTL14 and HIF-1α, with METTL14 enhancing OTUD7B mRNA stability and expression through m6A methylation, while OTUD7B stabilizes HIF-1α by promoting deubiquitination.", "minimax_alt": "unknown", "decisive": false}, "physical_methods": {"minimax": ["dot blot assay", "gene-specific m6A-PCR", "clonogenic assay", "Transwell assay", "co-immunoprecipitation assay", "quantitative real-time PCR (qPCR) using SYBR Green master mix on a QX100 Droplet Digital PCR system", "comparative Ct (2−ΔΔCt) method"], "minimax_alt": ["dot blot assay", "Gene-specific m6A-PCR", "clonogenic assay", "Transwell assay", "co-immunoprecipitation assay", "quantitative real-time PCR (qPCR)"], "decisive": false}, "analysis_methods": {"minimax": ["differential gene expression analysis", "limma software suite in R (v3.5.1)", "Bayesian t-test statistics", "absolute log2 fold change ≥1 and false discovery rate-adjusted p-value < 0.05", "KEGG pathway analysis using R's ClusterProfiler toolkit", "expression-correlation analysis using the GEPIA platform", "SRAMP m6A site prediction"], "minimax_alt": ["differential gene expression analysis using the limma software suite in R (v3.5.1)", "Bayesian t-test statistics with thresholds of absolute log2 fold change ≥1 and false discovery rate-adjusted p-value < 0.05", "ggplot2 volcano plots and pheatmap clustered heatmaps", "SRAMP m6A site prediction", "KEGG pathway analysis using R’s ClusterProfiler toolkit", "GEPIA interactive expression profiling and expression-correlation assessment", "comparative Ct (2−ΔΔCt) method with GAPDH normalization"], "decisive": false}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "passed", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:e7367f4963367e2f83954f53a66090f768f9eda7cb56105ed81126a6c40d95cb", "type": "sep_package", "label": "SEP v1 package for pmid:40746896"}], "activities": [{"id": "activity:conversion:pmid:40746896", "type": "conversion", "used": ["package:e7367f4963367e2f83954f53a66090f768f9eda7cb56105ed81126a6c40d95cb"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:40746896", "parent_hash": "sha256:cddbad5ce6934159d95e5bd550a873f6d55e85c3d59933eb037d70f0aaf73d16", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:40746896 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:40746896' does not resolve to a declared asset", "targets"]}