Sjogren's Syndrome Parotid Tissue Analysis

The GEO dataset: GSE40611 was obtained from the National Center For Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) (7 (link)) using the “Sjogren’s Syndrome” and “parotid” criteria. This microarray dataset has been based on the platform of Affymetrix Human Genome U133 Plus 2.0 Array (HG-U133_Plus_2) and contains parotid tissue samples from 20 healthy donors, 19 patients with Sjogren syndrome, and 20 patients with “Sicca syndrome”. Before differential expression analysis, background correction and quantile normalization were performed using the robust multi-array analysis (RMA) method with the limma R package (v3.11) (13 (link)), thus generating the normalized gene expression matrix. In addition, differentially expressed genes (DEGs) were identified using the criteria of false discovery rate (FDR) <0.05 or <0.1, depending on the proportion of DEGs among the total.

Free full text: Click here

Cheng C., Zhou J., Chen R., Shibata Y., Tanaka R., Wang J, & Zhang J. (2021). Predicted Disease-Specific Immune Infiltration Patterns Decode the Potential Mechanisms of Long Non-Coding RNAs in Primary Sjogren’s Syndrome. Frontiers in Immunology, 12, 624614.

Publication 2021

Human Genome U133 Plus 2.0 Array (HG-U133_Plus_2)

Gene expression Genes Human genome Microarray Parotid Patients Sicca syndrome Sjogren syndrome Tissue donors

Corresponding Organization : Union Hospital

Other organizations : Showa University, Stomatology Hospital, Tianjin Medical University, Shanghai Ninth People's Hospital, National Clinical Research Center for Digestive Diseases

Top 5 similar protocols

Protocol cited in 1 other protocol

Variable analysis

independent variables

Sjogren's Syndrome
Sicca syndrome

dependent variables

Differentially expressed genes (DEGs)

control variables

Healthy donors

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.

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?

Revolutionizing how scientists
search and build protocols!