Overview
This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.
Key numbers
The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:
- annotation in anxiety disorder functional enrichment. Tables 1 and 2 show the top
- expression as the top GO terms (Table 1). KEGG
- cancer as the top KEGG terms (Table 2).
- with a network degree distribution R-squared value of Table 1 shows that these four genes are simultaneously
- mercury targets have protein interactions. ABCB1, GO term. Furthermore, Table 2 indicates the
- Table 1. Gene Ontology (BP, biological process) analysis of mercury-responsive genes in anxiety disorder. The top 10 terms are displayed.
- Table 2. Pathway analysis of mercury-responsive genes in anxiety disorder. The top 10 terms are displayed.
- displayed in Tables 3 and 4, indicating targeting lipopolysaccharide, and cellular response to molecule
- with 507 links based on physical interactions (77.64%), IL1B, IL6, TNF, and IFNG), TNFAIP3 (interacts with
- localization (3.63%), genetic interactions (2.87%), and TNF) among 20 GeneMANIA-predicted proteins
- pathway (1.88%), and shared protein domains (0.60%). as first neighbors of core mercury targets, belonging to
- Table 3. Gene ontology analysis of the key sub-network.
- Table 4. KEGG pathway analysis of the key sub-network.
- GeneMANIA network (Table 5). Curcumin (IL1B, network, the positions of drug molecules (curcumin
- IL6, TNF, IFNG, SQSTM1), and D-penicillamine in Table 6. As indicated in Table 6, curcumin interacts
- Table 5. Protective agents that target mercury-responsive genes in the core sub-network and the GeneMANIA network.
- Table 6. Binding affinities of ligand-receptor complexes.
Methods (brief)
- Anxiety disorder candidate genes were collected use the CytoHubba plugin. In this way, the MCC
- toxicity were collected using a review of existing investigate treatment effects. In addition, using
Implications
This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.
Wiki pages this source may touch
Verification notes
- Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing
wiki/sources/pages before creation. - Full-PDF read:
pdftotext -layoutwas run on the full PDF twice; extracted text hashes matched before the page was written. - Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
- Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
- HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.
Update history
The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git. When DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.