BackgroundMany studies have utilized computational methods, including cell composition deconvolution (CCD), to correlate immune cell polarizations with the survival of cancer patients, including those with hepatocellular carcinoma (HCC). However, currently available cell deconvolution estimated (CDE) tools do not cover the wide range of immune cell changes that are known to influence tumor progression.ResultsA new CCD tool, HCCImm, was designed to estimate the abundance of tumor cells and 16 immune cell types in the bulk gene expression profiles of HCC samples. HCCImm was validated using real datasets derived from human peripheral blood mononuclear cells (PBMCs) and HCC tissue samples, demonstrating that HCCImm outperforms other CCD tools. We used HCCImm to analyze the bulk RNA‐seq datasets of The Cancer Genome Atlas (TCGA)‐liver hepatocellular carcinoma (LIHC) samples. We found that the proportions of memory CD8+ T cells and Tregs were negatively associated with patient overall survival (OS). Furthermore, the proportion of naïve CD8+ T cells was positively associated with patient OS. In addition, the TCGA‐LIHC samples with a high tumor mutational burden had a significantly high abundance of nonmacrophage leukocytes.ConclusionsHCCImm was equipped with a new set of reference gene expression profiles that allowed for a more robust analysis of HCC patient expression data. The source code is provided at https://github.com/holiday01/HCCImm.
Background: During the past few years, Klebsiella pneumonia has become a threat to human health because emerging strains could be both multidrug resistant and hypervirulent. In this project, we explored the regulatory mechanisms underlying the drug resistance of a carbapenem-resistant hypervirulent (CR-hv) Klebsiella pneumoniae strain. The specific aims are as follows: 1) generating a complete reference genome; 2) finding differentially expressed genes and operons; 3) finding differentially expressed antisense transcripts and sRNAs implicated in stress response. Materials and Methods: The whole genome sequencing of a CR-hv KP isolate, TVGHCRE225, was performed by using RSII system, Pacific Bioscience of California, Inc. To investigate the transcriptome changes of TVGHCRE225 under the treatments of antibiotics, this KP strain was cultured in separated media containing colistin and tigecycline, respectively. Then eight samples collected at the mid-log and log phases were taken to perform RNA-seq and sRNA-seq experiments for transcriptome profiling. Additionally, using bioinformatics approaches we predicted and annotated sRNAs in all the non-protein coding regions, including the antisense strand of known protein-coding genes. Results: The assembled genome for TVGHCRE225 consists of the 5.5-Mbp chromosome and three plasmids. 5,895 genes were predicted and 65 of them were hypothetical. One plasmid is pLVPK-like, which harbors capsular-gene transcription factors, rmpA and rmpA2, and a ferric aerobactin receptor, iutA, providing an explanation to the high virulence of this KP isolate. Additionally, ~300 novel non-coding RNA genes and ~50 antisense transcripts were identified from the RNAseq and sRNA-seq results. Noticeably, under the treatments of two different antibiotics, respectively, distinct sets of differentially expressed genes (DEGs) were identified, with only a few genes co-occurred. Changes over the operon structures with varied member genes were observed and such structural changes could be categorized into merged/extended, shortened, and mixed types. Conclusions: Those DEGs along with the structurally changed operons under antibiotics treatment were implicated in a diverse range of biological pathways, not just the well-known stress responses. Our findings suggest that antibiotics resistance of bacteria might be highly regulated where a number of noncoding RNAs such as antisense transcripts and small RNAs may play critical roles.
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