Dimensionality Reduction of Hematopoietic Lineages

For each MCP series, we retained samples belonging to well-characterized hematopoietic lineages (T or NK cells, B cells, monocytic lineage, granulocytes, endothelial cells, fibroblasts) and cancer cell lines. Probe sets were filtered to retain only the those above the 95th variance percentile on each series. Principal component analysis was then performed for each series and data for the first principal two components (those explaining the most variance) are displayed (Additional file 2: Figure S2; cell lineages are color coded).

Free full text: Click here

Becht E., Giraldo N.A., Lacroix L., Buttard B., Elarouci N., Petitprez F., Selves J., Laurent-Puig P., Sautès-Fridman C., Fridman W.H, & de Reyniès A. (2016). Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression. Genome Biology, 17, 218.

Publication 2016

B cells Cancer Cell lines Endothelial cells Fibroblasts Granulocytes Hematopoietic Monocytic Nk cells

Corresponding Organization :

Other organizations : Centre de Recherche des Cordeliers, Inserm, La Ligue Contre le Cancer, Délégation Paris 5, Université Paris Cité, Centre de Recherche en Cancérologie de Toulouse, Université Toulouse III - Paul Sabatier

Top 5 similar protocols

Protocol cited in 52 other protocols

Variable analysis

independent variables

MCP series

dependent variables

First two principal components from Principal Component Analysis (PCA)

control variables

Samples belonging to well-characterized hematopoietic lineages (T or NK cells, B cells, monocytic lineage, granulocytes, endothelial cells, fibroblasts) and cancer cell lines
Probe sets filtered to retain only those above the 95th variance percentile on each series

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!