Flowchart of selection of studies for inclusion in meta-analysis.

<p>Flowchart of selection of studies for inclusion in meta-analysis.</p

Influence analysis for AA versus GG in the overall meta-analysis.

<p>This figure shows the influence of individual studies on the summary OR. The middle vertical axis indicates the overall OR and the two vertical axes indicate its 95% CI. Open circles indicate the pooled OR when the left study is omitted in this meta-analysis. The two ends of the dotted lines represent the 95% CI.</p

Funnel plot of XRCC1 Arg399Gln polymorphism and childhood ALL risk for publication bias.

<p>Funnel plot of XRCC1 Arg399Gln polymorphism and childhood ALL risk for publication bias.</p

Meta-analysis of XRCC1 Arg399Gln polymorphism in childhood ALL. a Additive model, b Dominant model.

<p>Meta-analysis of XRCC1 Arg399Gln polymorphism in childhood ALL. a Additive model, b Dominant model.</p

General characteristics of studies included in the meta-analysis.

a<p>HWE Hardy–Weinberg equilibrium.</p>b<p>Genotype distributions of Arg194Trp in the controls were significantly deviated from HWE 399 Arg399Gln, 194 Arg194Trp, 280 Arg280His.</p

Results of the meta-analysis on XRCC1 polymorphisms and childhood ALL risk.

<p>OR Odds ratio; 95% CI 95% confidence interval.</p><p>a:minor allele; A:major allele.</p

Additional file 3 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 3: Table S4. The raw expression information of DEGs in two apricot kernel cultivars under freezing stress

Additional file 2 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 2: Table S2. The expression information of genes in the transcriptome of two apricot kernel cultivars

Additional file 5 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 5: Table S6. Annotation of hub genes in the brown module

MRI Biosensor for Lead Detection Based on the DNAzyme-Induced Catalytic Reaction

A MRI biosensor for sensitive and specific detection of lead ions (Pb²⁺) was developed based on DNAzyme-induced cleavage of magnetic nanoparticles (MNPs). A low limit of detection (LOD) of 0.05 ng mL^–1 was obtained. This biosensor has the potential to serve as a general platform for the detection of heavy metal ions