Serine enrichment in tumors promotes regulatory T cell accumulation through sphinganine-mediated regulation of c-Fos.

CD4+ regulatory T (Treg) cells accumulate in the tumor microenvironment (TME) and suppress the immune system. Whether and how metabolite availability in the TME influences Treg cell differentiation is not understood. Here, we measured 630 metabolites in the TME and found that serine and palmitic acid, substrates required for the synthesis of sphingolipids, were enriched. A serine-free diet or a deficiency in Sptlc2, the rate-limiting enzyme catalyzing sphingolipid synthesis, suppressed Treg cell accumulation and inhibited tumor growth. Sphinganine, an intermediate metabolite in sphingolipid synthesis, physically interacted with the transcription factor c-Fos. Sphinganine c-Fos interactions enhanced the genome-wide recruitment of c-Fos to regions near the transcription start sites of target genes including Pdcd1 (encoding PD-1), which promoted Pdcd1 transcription and increased inducible Treg cell differentiation in vitro in a PD-1-dependent manner. Thus, Sptlc2-mediated sphingolipid synthesis translates the extracellular information of metabolite availability into nuclear signals for Treg cell differentiation and limits antitumor immunity.

Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications.

The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic strategies. With the expansion of capacity for high-throughput scRNA-seq, including clinical samples, the analysis of these huge volumes of data has become a daunting prospect for researchers entering this field. Here, we review the workflow for typical scRNA-seq data analysis, covering raw data processing and quality control, basic data analysis applicable for almost all scRNA-seq data sets, and advanced data analysis that should be tailored to specific scientific questions. While summarizing the current methods for each analysis step, we also provide an online repository of software and wrapped-up scripts to support the implementation. Recommendations and caveats are pointed out for some specific analysis tasks and approaches. We hope this resource will be helpful to researchers engaging with scRNA-seq, in particular for emerging clinical applications.

Multiplex PCR method for simultaneous detection of five pathogenic bacteria closely related to foodborne diseases.

In this study, we describe a multiplex PCR method for the detection of five food-relevant virulence pathogenicity genes of intestinal pathogens. Five pairs of primers were designed based on nuc gene for Staphylococcus aureus, hlyA gene of Listeria monocytogenes, ipaH gene of Shigella flexneri, lysP gene of Yersinia enterocolitica and tpi gene of Clostridium difficile. Conditions were optimized to amplify fragments of those genes simultaneously in one PCR amplification. After developing and optimizing the multiplex PCR reaction system, the specificity and sensitivity of the multiple PCR assays were evaluated. The optimized program is also applied to retail meat for testing. The result indicated that when the annealing temperature was 54 °C and the primer concentrations of S. aureus, L. monocytogenes, S. flexneri, Y. enterocolitica and C. difficile are 10, 10, 5, 3 and 2 µM, the five strains could expand 484, 345, 204, 156, 88 bp of clear fragments, respectively. So was the multiple PCR in artificially contaminated beef produce. All cultures were cultured and separated by traditional methods. The multiplex PCR method offers a rapid, simple, and accurate identification of pathogens and could be used in food safety investigations, clinical diagnosis as well as for the surveillance of the spreading determinants of pathogens in epidemiological studies.