Journal: Genome Biology

Article Title: Gene expression patterns during adaptation of a helminth parasite to different environmental niches

doi: 10.1186/gb-2007-8-4-r65

Figure Lengend Snippet: Some of the major transcripts from clustering analysis of the microarray data

Article Snippet: Total RNA (15 μg) for individual stages (coupled to Cy3 or Cy5) was hybridized to Combimatrix custom array microarray chips, as described in detail below (Combimatrix Corporation, Mukilteo, WA, USA).

Techniques: Microarray, Ubiquitin Proteomics, Membrane, Binding Assay

Journal: Genome Biology

Article Title: Gene expression patterns during adaptation of a helminth parasite to different environmental niches

doi: 10.1186/gb-2007-8-4-r65

Figure Lengend Snippet: Real time PCR analysis of select transcripts across four developmental stages: sporocysts (S), cercariae (C), schistosomula (L), and adult worms (A). The upward arrow indicates transcript level where fewer RT cycles are indicative of an increase in transcripts relative to a cytochrome c internal control. The microarray ratio of sporocyst to cercaria (SvC) and adult to cercaria (AvC) is designated 'fold change' and is in the same format as Figure 2. Cathepsin L numbers are from type II analysis.

Article Snippet: Total RNA (15 μg) for individual stages (coupled to Cy3 or Cy5) was hybridized to Combimatrix custom array microarray chips, as described in detail below (Combimatrix Corporation, Mukilteo, WA, USA).

Techniques: Real-time Polymerase Chain Reaction, Control, Microarray

Journal: Database: The Journal of Biological Databases and Curation

Article Title: RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression

doi: 10.1093/database/baw151

Figure Lengend Snippet: Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The miRNA expression data on these two groups are selected for analysis. Step 3: In the microarray data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.

Article Snippet: The mature miRNA sequences and six control probes (four positive and two negative) were used to produce the customized rice miRNA microarray (Combimatrix Custom Array 4 × 2 K, CA, USA).

Techniques: Expressing, Microarray

Journal: Database: The Journal of Biological Databases and Curation

Article Title: RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression

doi: 10.1093/database/baw151

Figure Lengend Snippet: Example of browsing the RiceATM platform. (A) Eight agronomic traits affecting yield are represented in RiceATM, including the heading date, plant height, panicle number, panicle length, panicle weight, spikelet number, seed-set %, and 1000-seed weight. Here, we select ‘Heading Date’ as a demonstration. (B) RiceATM includes 187 rice cultivars: 155 japonica and 32 indica. The user can select total (japonica plus indica), japonica or indica cultivars to analyse by checking the ‘Variety’ box. In this example, we select the k-means clustering algorithm to select the high and low heading date groups for the total cultivars. (C) In the data pretreatment step, we use quantile normalization and then clip the minimum value at 800 to normalize the microarray data. (D) Differentially expressed miRNAs are evaluated by ANOVA and then subjected to target gene prediction by the psRNATarget algorithm. Thus, RiceATM shows the regulatory miRNA network. Large orange circles, miRNAs with high expression in the high-quantity group; large green circles, miRNAs with high expression in the low-quantity group; small blue circles, targeted mRNAs.

Article Snippet: The mature miRNA sequences and six control probes (four positive and two negative) were used to produce the customized rice miRNA microarray (Combimatrix Custom Array 4 × 2 K, CA, USA).

Techniques: Microarray, Expressing

Journal: Database: The Journal of Biological Databases and Curation

Article Title: RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression

doi: 10.1093/database/baw151

Figure Lengend Snippet: Expression trend of candidate miRNAs in the early and late heading date groups of rice cultivars. Four miRNA derived from RiceATM analysis and associated with heading date were subjected to a real-time PCR assay. Early, early heading date group, n = 4; Late, late heading date group, n = 4. Actin served as the internal control. (A) miR172d-3p; (B) miR818c; (C) miR820c and (D) miR399f. * P < 0.05, compared with the early group.

Article Snippet: The mature miRNA sequences and six control probes (four positive and two negative) were used to produce the customized rice miRNA microarray (Combimatrix Custom Array 4 × 2 K, CA, USA).

Techniques: Expressing, Derivative Assay, Real-time Polymerase Chain Reaction, Control

Journal: PLoS ONE

Article Title: Comparative Genomics of Helicobacter pylori Strains of China Associated with Different Clinical Outcome

doi: 10.1371/journal.pone.0038528

Figure Lengend Snippet: General features of the sequenced H. pylori genomes selected for microarray probe design.

Article Snippet: In this study, a whole-genome CombiMatrix Custom oligonucleotide tiling microarray with 90000 probes covering six sequenced Helicobacter pylori ( H. pylori ) genomes was designed.

Techniques: Microarray