Comparison of the normalized relative expression levels of housekeeping genes (HKGs) between the three subgroups.

<p>The relative expression levels of remaining seven genes were normalized against the Normalization Factor based on the geometric mean of the expression level of the best-performing HKGs (<i>B2M</i> and <i>RPLP0</i>). Data are presented as mean ± SE. ^a<i>P</i><0.05.</p

Flow cytometry analysis on CD4⁺ T cells in lymphocyte suspension and in purified CD4⁺ cells by immunomagnetic depletion with the human CD4⁺ T Cell Isolation Kit II.

<p>Cells were directly stained with conjugated fluorescently labeled antibodies for CD4 (BD Biosciences) in lymphocyte suspension and in purified CD4⁺ samples.</p

Data of candidate housekeeping genes (n = 28).

<p>GM, geometric mean; AM, arithmetic mean; Min, minimal value; Max, maximal value; CV, coefficient of variance.</p

Determination of the housekeeping gene expression stability by NormFinder.

<p>The stability value is estimated using the model-based approach. Having considered both the intra- and inter-group variation, a lower stability value represents a smaller systematic error that would be introduced when using the studied gene.</p

Correlation analysis of candidate housekeeping genes (HKGs) versus BestKeeper index.

<p>^aAll 8 candidate HKGs showed strong correlation (correlation coefficient <i>r</i> value from 0.69 to 0.93) and were combined into an index, which was then used to compute the correlation between each HKG and the index.</p

Housekeeping genes evaluated in the present study.

<p>Housekeeping genes evaluated in the present study.</p

Ranking the housekeeping genes (HKGs) according to their expression stability M determined using geNorm.

<p>A stepwise exclusion of the least stable HKG was conducted to obtain the mean expression stability value M of remaining HKGs until the two most stable HKGs were identified. The genes are ranked according to M values.</p

Primer sequences for housekeeping genes.

<p>Primer sequences for housekeeping genes.</p

Demographic characteristics of the participants.

a<p>mean ± SD;</p>b<p>median (range);</p>c<p><i>P</i><0.05;</p>d<p><i>P</i> = 0.073; BMI, body mass index; FEV₁, forced expiratory volume in 1 s; FVC, forced vital capacity; ACT, Asthma control test; GINA, Global initiative for asthma; AQLQ, Asthma quality of life questionnaire; Ig, immunoglobulin; PD₂₀FEV₁, provocative dose of methacholine causing a 20% drop in FEV₁; ICS, inhaled corticosteroid; LABA, Long-acting β₂-agonists.</p

Additional file 1 of ADP-dependent glucokinase controls metabolic fitness in prostate cancer progression

Additional file 1. Table S1 Primary antibodies used in this study. Table S2 siRNA sequences. Table S3 sgRNAs sequences. Table S4 Primers used in this study. Table S5 Univariate Cox regression analysis. Fig. S1 Function and expression of genes involved in the oxidative phosphorylation of glucose and their associations with clinical outcomes. Fig. S2 Cell type enrichment and prognosis of PRAD subgroups based on ADPGK expression. Fig. S3 Association between ADPGK and PCa immune status. Fig. S4 qPCR results showed the stable overexpression of ADPGK in PCa cells after lentivirus transfection. Fig. S5 The impact of ADPGK knockdown on LNCaP cell viability was assessed by CCK-8 assay. Fig. S6 Hematoxylin and eosin (HE) staining of lung tissues of mice bearing PC3 cells