Profiling miRNA Expression in Primary Colorectal Cancers

RNA was extracted from 100 cells purified from primary CRCs, and directly collected into TRIzol (Invitrogen). The expression level of 754 miRNAs was measured by multiplex semi-quantitative real-time PCR (TaqMan™ Array Human MicroRNA A+B Cards Set v3.0 with Megaplex™ RT Primers, Human Pool Set v3.0; Thermo Fisher Scientific) as previously described (5 (link)). Results were normalized to RNU48 small nuclear RNA (snRNA) and analyzed for statistical significance using the Mann-Whitney U-test.

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.

Mukohyama J., Isobe T., Hu Q., Hayashi T., Watanabe T., Maeda M., Yanagi H., Qian X., Yamashita K., Minami H., Mimori K., Sahoo D., Kakeji Y., Suzuki A., Dalerba P, & Shimono Y. (2019). miR-221 targets QKI to enhance the tumorigenic capacity of human colorectal cancer stem cells.. Cancer research, 79(20), 5151-5158.

Publication 2019

TRIzol TaqMan™ Array Human MicroRNA A+B Cards Set v3.0

Crcs Human Microrna Primers Quantitative real time pcr Small nuclear rna Trizol

Corresponding Organization : Fujita Health University

Other organizations : Columbia University, New York Stem Cell Foundation, California Institute for Regenerative Medicine, Stanford University, Kyushu University Hospital, Kyushu University Beppu Hospital, University of California, San Diego

Top 5 similar protocols

Variable analysis

independent variables

RNA extraction from 100 cells purified from primary CRCs

dependent variables

Expression level of 754 miRNAs

control variables

RNA was directly collected into TRIzol (Invitrogen)
Expression levels were normalized to RNU48 small nuclear RNA (snRNA)

controls

Positive control: None specified
Negative control: None specified

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!