1 10 100 1000 10000 100000 100-500501-10001001-20002000-5000>5000 The length of non-redundant consensus sequences (bp) Number of non-redundant consensus.

Slides:



Advertisements
Similar presentations
Fig. S1 Fig. S1 Correlation between microarray and qRT-PCR expression analyses. The linear regression compares expression ratios of salinity to control.
Advertisements

MYB Family Transcription Factors Jonathan Russell Rena Schweizer Mike Douglas.
Journal Club Jenny Gu October 24, Introduction Defining the subset of Superfamilies in LUCA Examine adaptability and expansion of particular superfamilies.
Genomic island analysis: Improved web-based software and insights into an apparent gene pool associated with genomic islands William Hsiao Brinkman Laboratory.
Charting 2D Gels making use of the different Chlamydomonas databases available Christine Markert, Universität Jena.
Regulatory Motifs. Contents Biology of regulatory motifs Experimental discovery Computational discovery PSSM MEME.
Learning rule-based models from gene expression time profiles annotated with Gene Ontology terms Jan Komorowski and Astrid Lägreid.
The MYB and BHLH Transcription Factor Families by Elaine Chiu.
Gene Expression And Regulation Bioinformatics January 11, 2006 D. A. McClellan
Computational studies of intramolecular disulfide bonded catenanes as a novel stabilizing mechanism in thermophilic microbes August 23, 2007 Daniel Park.
Cell Biology Course Info and Introduction. What is Cell Biology? Investigation of Biological Systems –Biochemistry –Molecular Biology –Genetics/Molecular.
Genome of the week - Deinococcus radiodurans Highly resistant to DNA damage –Most radiation resistant organism known Multiple genetic elements –2 chromosomes,
AP2/EREBP Transcription Factor Family
Transcriptional profiling and mRNA stability – don’t shoot the messenger David R. Sherman Seattle Biomedical Research Institute Grand Challenge of Latent.
Pollen transcript unigene identifier log 2 -fold change Annotation (BLAST) Unigene L. longiflorum chloroplast, complete genome Unigene
Figure S1_Yao Qin et al. Figure S1 Occurrence and distribution of trihelix family in different plant species. Red branches in the cladogram indicate that.
S factor  body weight during WM  body weight during ER Supplementary figure 1: S factor distribution in each diet. S.
The SET-Domain Containing Protein and MYB-related Families: Genes AT2G05900 & AT1G17460 Kristin Gill HC70AL Spring 2008.
National Institute of Agricultural Biotechnology (NIAB) Analysis of the rice gene expression profile by 60K microarray Kim Yong-Hwan 1), Lee Jung-Sook,
Cellular macromolecule catabolism cellular macromolecule metabolism cytoplasm organization and biogenesis establishment of cellular localization intracellular.
Gene expression (signal intensity) Control Osmotic Salt Drought Root Control Gene expression (signal intensity) Treatment.
Glutamyl-tRNA 5-Aminolevulinic acid Protoporphyrinogen IX Mg-Proto IX Heme Mg-Proto IX ME HEMA GSA PPO FC PORB CHLD, CHLH, CHLI Glutamate 1-semialdehyde.
First selection: transformation Plating on plate with Km Cultivation in liquid medium with Km until the cells reach the stationary phase Second selection:
GO-Slim term Cluster frequency cytoplasm 1944 out of 2727 genes, 71.3% 70 out of 97 genes, 72.2% out of 72 genes, 86.1% out.
Cell lineXY11q WM WM793-P WM793-P Lu ABAB WM793:WM793-P2WM793:1205-Lu WM793 WM793:WM793-P1 Supplemental.
0 Dpa Control pI 4-7 (Linear) 170 kDa Biotic stress pI 4-7 (Linear) 170 kDa kDa
Protein. Protein and Roles 1: biological process unknown 1.1 Structural categories 1.2 organism categories 1.3 cellular component o unlocalized.
Figure S1 (a) (b) Fig. S1. Hydroponics culture of Arabidopsis thaliana. (a) Illustration of the hydroponics system in the growth chamber. (b) close-up.
Why is Drug Target Identification important for Drug Discovery? I. Introduction.
Figure 1. Gene expression analysis
Figure S2 A B Log2 Fold Change (+/- cAMP) Transcriptome (9hr)
Suppl. Fig. S1 Fig. S1 (A, C, E, G, I, K) Double-logarithmic plot of gene expression signals of two biological replicates (B, D, F, H, J, L) Distribution.
Additional file 8: Estimation of biological variations
Down-regulated genes in evolved normomutable variants
Trans-acting siRNA Brett Johnson BMS265.
The Mimivirus Giant double stranded DNA virus Discovered in amoebas
The Nucleolus under Stress
Behaviorally dependent allele-specific expression.
A Figure 1 A PROTECTION Dehydrins / LEAs /HSPs Defense
Figure 9. Categories of pha-siRNA-yielding genes
Figure 6. Categories of pha-siRNA-yielding genes
Spatiotemporal Brassinosteroid Signaling and Antagonism with Auxin Pattern Stem Cell Dynamics in Arabidopsis Roots  Juthamas Chaiwanon, Zhi-Yong Wang 
β-CTT function requires negatively charged amino acids.
Volume 35, Issue 2, Pages (July 2009)
Volume 14, Issue 1, Pages (July 2011)
Chromatophore Genome Sequence of Paulinella Sheds Light on Acquisition of Photosynthesis by Eukaryotes  Eva C.M. Nowack, Michael Melkonian, Gernot Glöckner 
Schematic of cellular role categories of theoretical (open bars) and identified proteins on a 2-D electrophoresis gel, pH 4–7 (black bars), in L. casei.
Volume 2, Issue 4, Pages (July 2009)
Low-temperature-associated proteomes.
Volume 16, Issue 4, Pages (November 2004)
Figure 9. Categories of pha-siRNA-yielding genes
Pangenomes and core genomes of 13 M. florum strains.
Volume 8, Issue 2, Pages (July 2014)
Volume 22, Issue 3, Pages (January 2018)
Determination of mRNA synthesis and decay rates.
Volume 4, Issue 1, Pages (January 2011)
Significant differences in translational efficiencies of DNA damage repair pathway genes between patient clusters. Significant differences in translational.
Characterising dermis expansion and gene expression changes during mouse development (related to Fig 1)‏ Characterising dermis expansion and gene expression.
Antisense expression associates with larger gene expression variability. Antisense expression associates with larger gene expression variability. (A–D)
Comparison of N. gonorrhoeae gene expression in infected men in vivo and isolates grown in vitro. Comparison of N. gonorrhoeae gene expression in infected.
Differential protein, mRNA, lncRNA and miRNA regulation by p53.
Volume 1, Issue 1, Pages (January 2008)
Volume 1, Issue 2, Pages (March 2008)
RNAseq–Volcano plots, qPCR validation, and GO enrichment analysis.
Most mutations were nonsynonymous, especially at the nodes of new clades, with affected genes encoding regulatory functions, lipid metabolism, and envelope.
Reliability of Assessment of Protein Structure Prediction Methods
by Dezhi Kang, Baochen Shi, Marie C. Erfe, Noah Craft, and Huiying Li
Integrated analysis of gene expression and copy number alterations.
Fig. 3 Gene expression analysis in 48-plex drug treatment experiments.
Milk-associated proteomes.
Presentation transcript:

>5000 The length of non-redundant consensus sequences (bp) Number of non-redundant consensus Fig. S1 Distribution of the non-redundant consensus sequences.

A:Amino acid transport and metabolism B:Carbohydrate transport and metabolism C:Cell cycle control, cell division, chromosome partitioning D:Cell wall/membrane/envelope biogenesis E:Cell motility F:Chromatin structure and dynamics G:Coenzyme transport and metabolism H:Cytoskeleton I:Defense mechanisms J:Energy production and conversion K:Extracellular structures L:Function unknown M:General function prediction only N:Intracellular trafficking, secretion, and vesicular transport O:Inorganic ion transport and metabolism P:Lipid transport and metabolism Q:Nucleotide transport and metabolism R:Nuclear structure S:Posttranslational modification, protein turnover, chaperones T:Replication, recombination and repair U:RNA processing and modification V:Secondary metabolites biosynthesis, transport and catabolism W:Signal transduction mechanisms X:Transcription Y:Translation, ribosomal structure and biogenesis ABCDEFGHIJKLMNOPQRSTUVWXY Function Class Frequency Fig. S2 Histogram presentation of the clusters of eukaryotic orthologous groups (KOGs). Of the 93,488 identified unigenes, 29,828 sequences have a KOG classification within the 25 categories.

AP2 ARF ARR-B B3 BBR/BPC BES1 bHLH bZIP C2H2 C3H CAMTA CO-like CPP DBB Dof E2FDP EIL ERF G2-like GATA GeBP GRAS GRF HB-other HB-PHD HD-ZIP HRT-like HSF LBD LFY MIKC M-type MYB MYB_related NAC NF-X1 NF-YA NF-YBNF-YC Nin-like RAV S1Fa-like SBPSRS STAT TALE TCP Trihelix VOZ WOX WRKY ZF-HD Fig. S3 The number of unigenes corresponding to transcription factors in each transcription factor family. A total of 2,023 putative Arabidopsis thaliana transcription factors were searched against the Antarctic moss transcriptome, and the target unigenes (1,309) were classified into their corresponding transcription factor families. The black bars are the number of reads per family. Number of genes

Log 2 Ratio(Treat/Control) -Lg(p-value) More reliable points Less reliable points 300 Fig. S4 A volcano plot of the differentially expressed genes. For each gene, the ratio of the expression levels in the treated sample versus that of the control sample was plotted against the -log error rate. The horizontal green line indicates the significance threshold (0.001), and the two vertical green lines indicate the fold-change threshold (log 2 (Treat/Control)≥1 or log 2 (Treat/Control)≤ -1).

MFC60113 MFC48132 MFC00614 MFC03221 MFC08686 MFC48409 MFC04509 MFC hr 1hr 3hr 6hr 12hr 24hr Cold treatment tubulin MFC25111 Fig. S5 RT-PCR analysis of CRLK1, MEKK1, MKK2, MPK4 and CBF orthologs in Antarctic moss P. nutans after cold stress. MFC60113 is CRLK1 ortholog; MFC00614, MFC48132, MFC03221, MFC48409 and MFC08686 are MEKK1 orthologs; MFC04509 is MKK2 ortholog; MFC90936 is MPK4 ortholog; MFC25111 is CBF ortholog. β-tubulin was used to normalize the template.