The most strongly differentially abundant transcripts in E

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Supplementary Fig. S1: Hierarchical clustering of AUX/IAA genes, showing significant differential expression under at least one abiotic stress condition.

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Figure S2 A B Log2 Fold Change (+/- cAMP) Transcriptome (9hr)

Overview of the experimental setting.

Identification of differentially abundant proteins in the yeast growth phase NSAF dataset. Identification of differentially abundant proteins in the yeast.

Differential expression of select miRNAs was validated in a second cohort of patients. Differential expression of select miRNAs was validated in a second.

Exploration of the data set with age as a continuous variable.

Several microRNAs are differentially expressed in the glomeruli between different types of kidney disease. Several microRNAs are differentially expressed.

Analysis of changes in the host metabolome during M

Genomic rearrangements of E

Differential abundance of bacterial families.

Selected KEGG genes that were significantly more abundant (>2 log2-fold change; FDR-adjusted P < 0.005) in plastic-associated metagenomic libraries than.

Performance of FDR methods on filtered microbiome data.

Family level bar plots generated in QIIME 1. 9

Positions of LSUCC isolates relative to matching OTUs within the top 60 ranks for the most successful experiment, CJ2, which is enlarged to allow for OTU.

Heatmaps of differential OTUs

Differential relative abundance of major taxa for successive pairwise comparisons. Differential relative abundance of major taxa for successive pairwise.

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Individual genes exhibit distinct stage-specific expression among female gametocytes. Individual genes exhibit distinct stage-specific expression among.

ncRNAs are developmentally regulated as well as mRNAs.

Individual genes exhibit distinct female-enriched expression patterns.

Gene expression changes upon modulation of DNMT3A transcripts.

Effect of small TbTim knockdown on cell growth.

C.2.10 Sample Questions.

Whole-genome comparison of E

C.2.8 Sample Questions.

Relative ITS2 abundance of Saccharomyces in stool over time as a Saccharomyces cerevisiae-free diet was consumed. Relative ITS2 abundance of Saccharomyces.

C.2.8 Sample Questions.

Log2-fold change in relative abundance of differentially abundant OTUs in PyOM300 and PyOM700 (a and b) and in Ps soil and Ar soil (c and d). Log2-fold.

T7 transcripts increase relative to E. coli transcripts over time.

Differential protein, mRNA, lncRNA and miRNA regulation by p53.

RNA abundance correlates with fitness.

RNA-Seq analysis of CYR1 cells in the adaptation to acid pH.

CiCo relation to linear transcripts.

C. difficile colonization alters gene transcription of taxonomic groups differentially between antibiotic pretreatments. C. difficile colonization alters.

Gut microbiota components influenced by AXOS intake.

Differentially abundant OTUs and higher taxonomic units across geography and diet. Differentially abundant OTUs and higher taxonomic units across geography.

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Effect of YopM on the transcription of pro-inflammatory cytokines in HL60-derived macrophages after stimulation with LPS. HL60 cells differentiated into.

GATC sites where methylation changes over time correspond to a change in gene expression in a dam mutant. GATC sites where methylation changes over time.

Relative abundances of microeukaryotic taxa detected by ITS2 analysis of DNA or cDNA from stool. Relative abundances of microeukaryotic taxa detected by.

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Transition of the host cellular response over the course of ZIKV infection. Transition of the host cellular response over the course of ZIKV infection.

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Fig. 4 Matrix for intersections of differentially expressed transcripts between RNAiAFL transgenic and null kernels. Matrix for intersections of differentially.

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The most strongly differentially abundant transcripts in E The most strongly differentially abundant transcripts in E. coli TolC during growth with carolacton (0.25 µg/ml). The most strongly differentially abundant transcripts in E. coli TolC during growth with carolacton (0.25 µg/ml). (A) Overview; (B) the most strongly differently regulated ncRNAs. The cutoff for differentially abundant transcripts was set at log2 FC of ≥ ±2 for general transcripts and ≥ ±2.5 for ncRNAs (FDR, ≤0.01), for at least one sample during the time course. Jannik Donner et al. mSphere 2017; doi:10.1128/mSphereDirect.00375-17