MOESM1 of NfiS, a species-specific regulatory noncoding RNA of Pseudomonas stutzeri, enhances oxidative stress tolerance in Escherichia coli

Additional file 1. Additional tables

Comprehensive CFD Simulation of Product Yields and Coking Rates for a Floor- and Wall-Fired Naphtha Cracking Furnace

A coupled furnace/reactor simulation was conducted to determine product yields and coking rates for an industrial SL-II naphtha cracking furnace fired by both floor and wall burners. The process gas side, as well as the fire side, is simulated using the computational fluid dynamics (CFD) approach. The molecular kinetic model of Kumar and co-workers was used to simulate the naphtha cracking reactions in the reactor. The results show that the asymmetrical design of the furnace results in asymmetrical profiles of flue gas velocity, temperature, and concentration, and leads to poor heat supply of the wall burners on the front wall as well as a high-temperature zone in the crossover section. The recirculation of flue gas caused by the positioning of burners makes the temperature more uniform in the middle of the furnace. Good agreement between simulation and industrial product yields has been obtained without any tuning of the kinetics, indicating that the proposed approach can be used as a guide for further optimization of geometries and operating parameters of naphtha cracking furnaces with burners located both in the floor and in the wall. The coking rate profile reveals that the maximum coking rate is not located at the coil outlet or near the last reactor bend, but rather at a height of 7 m in the second reactor pass

Additional file 1 of Chromatin accessibility illuminates single-cell regulatory dynamics of rice root tips

Additional file 1: Figure S1. Isolation and purification of nuclei from rice root tips. Figure S2. Evaluation and quality control of rice scATAC-seq. Figure S3. Example of cluster-enriched chromatin accessibility and surrounding genes, and in situ hybridization of sense probe. Figure S4. Correlation between scATAC-seq and scRNA-seq. Figure S5. Heatmap showing enrichment of TF motifs. Figure S6. TFs and motif enrichment at ACRs in rice root. Figure S7. Pseudotime heatmap ordering from epidermis to root hair. Figure S8. Violin plot showing chromatin accessibility changes in genes related to “jasmonic acid biosynthetic process”. Table S1: Sequencing statistics

Additional file 2 of Chromatin accessibility illuminates single-cell regulatory dynamics of rice root tips

Additional file 2: Table S2: Marker genes of each cluster. Table S3: ACRs of each cluster for Normal and HS. Table S4: List of genes with open chromatin accessibility but low/no expression. Table S5: List of genes with close chromatin accessibility but high expression. Table S6: List of overlapped marker genes between scRNA-seq and scATAC-seq. Table S7: List of GO terms for genes associated with cluster specific ACRs. Table S8: ACRs and corresponding genes detected in the bulk ATAC-seq experiment for Normal. Table S9: ACRs and corresponding genes detected in the bulk ATAC-seq experiment for HS

Additional file 3 of Chromatin accessibility illuminates single-cell regulatory dynamics of rice root tips

Additional file 3: Table S10: Enriched TF motifs in differential ACRs upon heat stress for each cluster. (XLS 403 kb