cdna library takara  (TaKaRa)

Journal: bioRxiv

Article Title: Metabolic modeling and functional genomics reveal taxa and host gene interactions in colorectal cancer

doi: 10.64898/2026.01.26.700635

Figure Lengend Snippet: A. Schematic of building in silico microbial communities (see Methods). Briefly, we used MICOM to create site- and patient- specific in silico microbiome communities from previously published 16s rRNA sequencing datasets. We then performed flux-balance analysis to investigate the differences between modeled microbial growth and metabolic activity in tumor vs normal tissue associated samples. B. Counts of bacterial metabolite exchange fluxes (fluxpaths) active in all samples in each of the three datasets examined. C. Counts of bacterial taxa growing in at least half of the samples in each of the three datasets. D-F. Growth rate of F. nucleatum across all three datasets (Burns, Hale, and Niccolai, respectively). P and q values from paired Wilcoxon signed rank tests. F. nucleatum was the only taxon with significantly different growth in tumor vs. normal samples; no metabolite fluxpath had significantly different growth in tumor vs. normal samples across all three datasets.

Article Snippet: DNA samples were quantified using a fluorimetric PicoGreen assay. gDNA samples were converted to Illumina sequencing libraries using Illumina’s NexteraXT DNA Sample Preparation Kit (Cat. # FC-130-1005).

Techniques: In Silico, Sequencing, Activity Assay