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PAGExt - Gel Extraction Kit

PAGExt™ is a PAGE gel extraction kit designed for rapid purification of RNA fragments. In ribosome profiling workflows, PAGExt can be used for gel extraction of ribosome-protected fragments (RPF), helping generate purified material for downstream sequencing library preparation.

Beyond RPF purification, PAGExt is also suited for final library clean-up, removing primer dimers and adapter artifacts through gel-based size selection to ensure high-quality sequencing input.

View product information

Beyond RPF purification, PAGExt is also suited for final library clean-up, removing primer dimers and adapter artifacts through gel-based size selection to ensure high-quality sequencing input.

View product information

Product variant

Unit Size: 24 rxns

Part #:

KGE00-12

For research use only. Not for use in diagnostic procedures.

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Product information

Overview

Polyacrylamide gel electrophoresis (PAGE) offers superior size resolution for short nucleic acid fragments, making it the method of choice in workflows such as ribosome profiling.

PAGExt provides a streamlined, optimized workflow for extracting RNA directly from polyacrylamide gels, ensuring high recovery of size-selected material with minimal handling steps. The kit is specifically designed for RPFs purification, enabling clean isolation of fragments within defined size ranges for downstream library preparation.

PAGExt is also suited for final sequencing library clean-up, where gel-based size selection outperforms bead-based methods in resolving and removing primer dimers, adapter dimers, and other artifacts that can compromise sequencing quality and data interpretation.

All necessary buffers, filters, and consumables for gel extraction are included (polyacrylamide gels not included).

Key features

Rapid and efficient PAGE gel extraction of RNA fragments
Designed for RPF extraction and library size selection
Supports workflows requiring defined fragment ranges after PAGE separation
Suitable for ribosome profiling workflows that include an RPF gel extraction step
Streamlined extraction workflow aligned with downstream NGS library preparation needs

Specifications

Other specifications

Product Group	Small RNA Accessory
Shipping Conditions	Shipped in Blue Ice
Unit Size	24 rxns

Additional product information

Why precise size selection matters for ribosome profiling (Ribo-seq) libraries

PAGE-based size selection allows researchers to define exactly which fragment populations enter library preparation. While gel extraction reduces overall yield, the result is a cleaner, more defined input: depending on the experimental question, size selection can be used to isolate monosome-protected fragments exclusively, or to retain larger fragment sizes corresponding to disomes, trisomes, or other ribosome complexes of interest.

Why bead-based cleanups are not sufficient for Ribo-seq size selection

Ribosome profiling experiments typically generate ribosome-protected fragments within a narrow size range of approximately 26–34 nucleotides. While bead-based size selection methods are commonly used in other sequencing workflows, they often lack the resolution needed to cleanly separate fragments within this small window.

FAQs

Can bead-based size selection replace PAGE for ribosome profiling libraries?

Bead-based size selection methods are widely used in many sequencing workflows, but they typically do not provide the resolution needed to isolate the narrow fragment range produced in ribosome profiling experiments. Ribosome-protected fragments are usually ~26–34 nucleotides in length, and closely sized degradation products or adapter-related fragments can overlap this range. As a result, bead-based approaches may retain unwanted fragments that reduce the proportion of usable sequencing reads.

Polyacrylamide gel electrophoresis provides higher size resolution, allowing researchers to visually isolate the desired fragment range prior to library preparation. By excising the correct band and recovering nucleic acids from the gel, PAGE-based purification helps generate a more uniform fragment population for downstream sequencing workflows.