The largest database of trusted experimental protocols

Human clariom s pico arrays

Manufactured by Thermo Fisher Scientific

The Human Clariom S pico arrays are high-density microarrays designed for the detection and analysis of messenger RNA (mRNA) expression in small samples. These arrays provide comprehensive coverage of the human transcriptome, enabling researchers to study gene expression patterns in a wide range of applications.

Automatically generated - may contain errors

3 protocols using human clariom s pico arrays

1

Transcriptome Profiling of Sorted Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
To isolate total RNA, sorted cells were flash-frozen in PBS immediately after sorting and stored at −80°C before RNA extraction. QIAzol Lysis Reagent (Qiagen) was added to the cells, and RNA was isolated and purified using the RNeasy kit (Qiagen). The concentration was measured on a NanoDrop ND-2000 (Thermo Fisher Scientific), and RNA integrity was examined using the 2200 TapeStation System with Agilent RNA ScreenTapes (Agilent Technologies). Total RNA was amplified using the GeneChip WT Pico Kit (Thermo Fisher Scientific) generating biotinylated sense-strand DNA targets. The labeled samples were hybridized to human Clariom S pico arrays (Thermo Fisher Scientific). Washing and staining were performed using the GeneChip Fluidics Station 450, and scanning was performed using the GeneChip Scanner 3000 (both Thermo Fisher Scientific). All cell populations were generated in triplicate.
+ Open protocol
+ Expand
2

Profiling Transcriptome of Sorted Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
To isolate total RNA, sorted cells were flash frozen in PBS immediately after sorting and stored at −80°C before RNA extraction. QIAzol Lysis Reagent (Qiagen) was added to the cells, and RNA was isolated and purified using the RNeasy kit (Qiagen). The concentration was measured on a NanoDrop ND-2000 (Thermo Fisher Scientific), and RNA integrity was examined using the 2200 TapeStation System with Agilent RNA ScreenTapes (Agilent Technologies). Total RNA was amplified using the GeneChip WT Pico Kit (Thermo Fisher Scientific) generating biotinylated sense-strand DNA targets. The labeled samples were hybridized to human Clariom S pico arrays (Thermo Fisher Scientific). Washing and staining was performed using the GeneChip Fluidics Station 450, and scanning was performed using the GeneChip Scanner 3000 (both Thermo Fisher Scientific). All cell populations were generated in triplicate. All data analysis was performed in RStudio. Raw data were normalized using the robust multi-array average (RMA) algorithm implemented in the limma Bioconductor R-package (Ritchie et al., 2015 (link)). Adjusted P values were calculated using the Benjamini–Hochberg method. Data were visualized using glimma and pheatmap R packages (Su et al., 2017 (link)). The R package UpsetR was used to visualize cloning experiments (Lex et al., 2014 (link)).
+ Open protocol
+ Expand
3

Transcriptome Analysis of Sorted Cell Populations

Check if the same lab product or an alternative is used in the 5 most similar protocols
Sorted cell populations were snap frozen in PBS directly after sorting and stored at –80°C until RNA extraction. QIAzol Lysis Reagent (Qiagen) was added to the cells, and RNA was isolated and purified using the RNeasy kit (Qiagen). The RNA concentration was measured on a NanoDrop ND‐2000 (Thermo Scientific) and the RNA integrity was determined using the 2200 TapeStation System with Agilent RNA ScreenTapes (Agilent Technologies). Total RNA was amplified using the GeneChip WTF Pico Kit (Thermo Fisher Scientific), generating biotinylated sense‐strand DNA targets. The labeled samples were hybridized to human Clariom S pico arrays (Thermo Fisher Scientific). Washing and staining was performed by the GeneChip Fluidics Station 450 and the scanning was performed using the GeneChip Scanner 3000 (both Thermo Fisher Scientific). All cell populations were generated in triplicate. All data analysis was performed in RStudio. Raw data were normalized sing the RMA algorithm implemented in the limma Bioconductor R‐Package [42]. Adjusted P‐values were calculated using the Benjamin‐Hochberg method. Data were visualized using glimma and complex heatmap R‐packages [43]. The following packages were used in the analysis pipeline: oligo, limma, affycoretools, clariomshumantranscriptcluster.db, GO.db, Glimma, biobroom, ComplexHeatmap, pathfindR, ggbiplot, tidyverse [42, 43, 44, 45, 46, 47, 48].
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!