Additional file 10: Dataset S3. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor colon tissue.

Additional file 10: Dataset S3. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor colon tissue.

Additional file 8: Dataset S2. Dataset including all mean fluorescence intensity values (MFIs] from all FACS screens done with the NCI-60 panel.

Additional file 3: Table S3. GO Gene Ontology analysis of co-expressed protein-coding genes with all candidate lncRNAs.

Additional file 2: Additional Tables 1-5.

Additional file 2. Table S2A–F. Over-expressed genes in MaMel cell lines.

Additional file 5. Table S5A, B. Over-represented biological processes (GO-bp) among genes up- and down-regulated with increasing resistance in MaMel cell lines.

Additional file 7. Table S7A–D. Clustering of most variable genes in MaMe21, MaMel63a, HEM, and HDF.

Additional file 10: Table S5. The summary of lncRNAs exhibiting allele-specific expression in cultivated sunflower lines for edible fruit and oil identified in 12 DAP sunflower endosperm.

Additional file 12: Table S7. GO Gene Ontology analysis of co-expressed protein-coding genes with lncRNAs of allelic bias toward cultivated lines for oil.

Additional file 2: Table S2. The genomic information of lncRNAs in sunflower endosperm at 12DAP.

Additional file 11: Table S6. GO Gene Ontology analysis of co-expressed protein-coding genes with lncRNAs of allelic bias toward cultivated lines for edible fruit.

Platycodon grandiflorus, a perennial flowering plant widely distributed in China and South Korea, is an excellent resource for both food and medicine. The main active compounds of P. grandiflorus are triterpenoid saponins. WRKY transcription factors (TFs) are among the largest gene families in plants and play an important role in regulating plant terpenoid accumulation, physiological metabolism, and stress response. Numerous studies have been reported on other medicinal plants; however, little is known about WRKY genes...

Risk stratification for the need for therapeutic endoscopy and prediction of mortality in patients with upper gastrointestinal bleeding (UGIB) can be assessed by several scores. However, current scores are not validated for variceal bleeding and Intensive Care Unit (ICU) patients. The aim of this study was to evaluate potential parameters for the prediction of UGIB and patient outcomes. In this monocenter retrospective observational study, data from all esophagogastroduodenoscopies (EGD) between November 2014 and February 2020...

Additional file 11: Dataset S4. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor renal tissue.

Additional file 12: Table S7. GO Gene Ontology analysis of co-expressed protein-coding genes with lncRNAs of allelic bias toward cultivated lines for oil.

Additional file 11: Table S6. GO Gene Ontology analysis of co-expressed protein-coding genes with lncRNAs of allelic bias toward cultivated lines for edible fruit.

Additional file 4: Table S4. The GSVA results of GSE116918 dataset.

Additional file 5: Table S5. The GSVA results of GSE70768 dataset.

Additional file 5: Table S5. The GSVA results of GSE70768 dataset.

Additional file 4. Table S4A, B. Genes up- and down-regulated with increasing resistance in MaMel cell lines.

Additional file 5. Table S5A, B. Over-represented biological processes (GO-bp) among genes up- and down-regulated with increasing resistance in MaMel cell lines.

Additional file 6. Table S6A, B. Over-represented hallmark gene sets among genes up- and down-regulated with increasing resistance in MaMel cell lines.

Additional file 9. Table S9A–D. Over-represented KEGG pathway among gene clusters in MaMe21, MaMel63a, HEM, and HDF.

Additional file 3: Table S3. GO Gene Ontology analysis of co-expressed protein-coding genes with all candidate lncRNAs.