Continuous-Flow Process for the Synthesis of 5‑Nitro-1,4-dihydro-1,4-methanonaphthalene

In this article, we describe a safe and practical process for the synthesis of 5-nitro-1,4-dihydro-1,4-methanonaphthalene (1) via a continuous-flow reactor. The primary procedures in this process involved not merely the production of isoamyl nitrite but also the temperature-programmed Diels–Alder reaction of an aryne (derived from 2-amino-6-nitrobenzoic acid) with cyclopentadiene in the series flow reactor. The continuous-flow process minimized the accumulation of dangerous isoamyl nitrite and the energetic diazonium salt, and the entire reaction time was held down to 250 s

Additional file 4 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 4: Figure S4. Interaction network between 7 key cells

Additional file 6 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 6: Figure S6. Stratified survival analysis of risk models and clinical characteristics

Efficient and Practical Synthesis of 3′,4′,5′-Trifluoro-[1,1′-biphenyl]-2-amine: A Key Intermediate of Fluxapyroxad

An improved and practical method is reported here for accessing 3′,4′,5′-trifluoro-[1,1′-biphenyl]-2-amine (1), a key intermediate for Fluxapyroxad. The overall yield for the preparation of 1 was 73%, with a purity of 99.88%, after a three-step process. More importantly, this process was an improvement in the manufacture of biphenyl compounds by Suzuki–Miyaura coupling, which enabled catalyst loading as low as 0.04 mol %. This method could provide an economic and environment-friendly process leading to extensive prospects in industrial applications

Additional file 7 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 7: Figure S7. Validation of (A-C) internal test set risk models; (D-F) risk model evaluation in GSE13607; (J-I)) risk model evaluation in GSE32548

Additional file 3 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 3: Figure S3. The expression of several marker genes for CAFs in seven cell types

Additional file 5 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 5: Figure S5. DFS of patients with BLCA in the training set (A) and internal validation set (B) from the TCGA-BLCA cohort

Additional file 10 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 10: Table S2 474 significantly different marker genes

Additional file 11 of Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model

Additional file 11: Table S3 The key module genes