Immunofluorescence Quantification of SerpinB2 in Tissue Sections

Tissues were collected at the indicated times, snap-frozen in optimal cutting temperature (OCT) medium (Sakura Finetek, Japan), and 8-μm sections were prepared and stained with the following antibodies; rabbit anti-SerpinB2 (1:100) (Abcam), as described previously^{11 (link),15 (link),38 (link)}. Stained sections were analyzed using fluorescent or bright-field imaging microscopy (Leica) and ImagePro Plus Capture and Analysis software (Media Cybernetics). SerpinB2 positive areas were quantified in 15 independent fields/section using Image Pro-Plus software^{11 (link),38 (link)}.

Free full text: Click here

Sossey-Alaoui K., Pluskota E., Szpak D, & Plow E.F. (2019). The Kindlin2-p53-SerpinB2 signaling axis is required for cellular senescence in breast cancer. Cell Death & Disease, 10(8), 539.

Publication 2019

OCT) medium fluorescent or bright-field imaging microscopy ImagePro Plus Capture and Analysis software

Antibodies Frozen Microscopy Rabbit Tissues

Corresponding Organization : Cleveland Clinic Lerner College of Medicine

Top 5 similar protocols

Protocol cited in 1 other protocol

Variable analysis

independent variables

Time of tissue collection

dependent variables

SerpinB2 positive areas

control variables

Use of optimal cutting temperature (OCT) medium
Thickness of tissue sections (8-μm)
Antibody used for staining (rabbit anti-SerpinB2, 1:100)
Imaging microscopy (fluorescent or bright-field, Leica)
Image analysis software (ImagePro Plus Capture and Analysis)

controls

Positive control: Not explicitly mentioned
Negative control: Not 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.

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!