The expression profile of the lncRNAs were analyzed by Deseq package (Affymetrix Inc., US). Samples were hybridized on the Human Clariom D (Thermo Fisher Scientific) gene chip. Background-adjustment, normalization, and log-transformation of signals intensity were performed with the Signal Space Transformation-Robust Multi-Array Average algorithm (RMA). Raw data were analyzed by the transcriptome analysis console (TAC) 4.0 software (Applied Biosystems, Foster City, CA, USA) awaiting further analysis [14 (link)] . The differentially expressed lncRNAs and mRNAs were screened according to the criteria of gene differential expression with |log2-fold change| (FC) more than 2 times and adjusted P<0.05. The differentially expressed lncRNAs were afterward clustered by a heatmap package while the hierarchical clustering diagram was drawn to show the results.
Protocol detail
Transcriptomic Analysis of lncRNAs
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Expression gene
Gene chip
Human
Lncrnas
Mrnas
Transcriptome analysis
Corresponding Organization :
Other organizations : Second Affiliated Hospital of Nanjing Medical University, Jiangyin People's Hospital, Nanjing Medical University
Top 5 similar protocols
Variable analysis
independent variables
- None explicitly mentioned
- Expression profile of the lncRNAs
- None explicitly mentioned
- None explicitly mentioned
Annotations
Based on most similar protocols
Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.
Sign up for free or login to display all annotations
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
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
Revolutionizing how scientists
search and build protocols!