Protein-protein Interfaces
Protein Networks
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Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
Published on: April 11, 2019
1Kekulé-Institut für Organische und Biochimie, Rheinische Friedrich-Wilhelms-Universität Bonn, Germany. m.famulok@uni-bonn.de
Intramers are specialized RNA molecules designed to function inside living cells. By binding to specific proteins, they can block or change how those proteins work. This article reviews how these tools help scientists identify the roles of unknown proteins in their natural environment.
Area of Science:
Background:
Current methods for identifying protein roles often struggle to capture behavior within the natural cellular environment. Researchers frequently rely on external tools that may alter the physiological state of the target. This gap motivated the exploration of intracellularly active molecules. Prior research has shown that RNA-based binders possess high specificity for their targets. These binders can be generated rapidly through automated laboratory selection processes. That uncertainty drove the need for techniques that function directly inside the cell. No prior work had resolved how to effectively deploy these binders for real-time functional analysis. Scientists now look toward specialized RNA sequences to bridge this experimental divide.
Purpose Of The Study:
The aim of this review is to discuss recent developments and strategies for intramer-based technologies. This work addresses the challenge of characterizing unknown protein functions within their natural expression status. Researchers seek to highlight how these tools bridge the gap between in vitro selection and in vivo application. The motivation stems from the need for rapid, specific, and intracellularly active inhibitors. By examining current progress, the authors clarify the potential of these molecules in functional genomics. This study explores the transition from traditional aptamer use to specialized intracellular deployment. The authors intend to demonstrate how these technologies facilitate complex biological investigations. Ultimately, the paper provides a framework for integrating these tools into modern proteomics and drug discovery.
Main Methods:
The review approach synthesizes recent advancements in the field of intracellular RNA-based modulation. Authors evaluate strategies for the controlled expression of selected sequences within living systems. The analysis focuses on the transition from in vitro selection to in vivo application. Researchers examine how automated robotic platforms accelerate the isolation of high-affinity binders. The study considers the integration of these tools into existing functional genomics pipelines. Evidence is gathered regarding the specificity and binding properties of these intracellular agents. The authors assess the utility of these molecules for identifying unknown protein roles. This synthesis provides a comprehensive overview of current technological capabilities and limitations.
Main Results:
Key findings from the literature highlight the impressive potential of these RNA molecules as intracellular inhibitors. Automated selection processes now allow for the isolation of binders in parallel within a few days. These agents exhibit highly specific molecular recognition properties for their cognate targets. The literature confirms that these tools can effectively modulate protein function through antagonistic or agonistic pathways. Successful expression inside cells demonstrates that these molecules remain active in their natural environment. The findings indicate that these methods facilitate the characterization of proteins that were previously difficult to study. Data suggests that these technologies are applicable across diverse biological systems and experimental models. The results underscore the versatility of these binders for various genomic and proteomic applications.
Conclusions:
Intramer-based technologies provide a robust framework for investigating protein activity in vivo. These tools allow for the precise modulation of target functions within the natural cellular context. Authors suggest that such approaches will significantly improve the characterization of unknown proteins. The ability to generate these inhibitors rapidly offers a major advantage for high-throughput studies. Researchers propose that these molecules will become standard in functional genomics and proteomics workflows. The evidence supports their utility as versatile agents for drug discovery efforts. Future applications will likely expand the range of targetable biological processes. This review synthesizes how these intracellular agents transform our capacity to map complex molecular networks.
Intramers act as intracellular inhibitors that bind to specific target proteins. By recognizing these molecules within the cell, they modulate biological activity through agonistic or antagonistic mechanisms, allowing researchers to observe the resulting changes in protein function.
These tools are specialized RNA molecules selected in vitro for their high affinity and specificity. Unlike standard aptamers, they are designed for expression inside living cells to interact with their targets in their natural environment.
The authors emphasize that in vivo expression is necessary to study proteins in their natural state. This approach avoids the limitations of external manipulation, ensuring that the observed protein behavior reflects authentic biological conditions.
RNA sequences serve as the primary data type for these tools. They are generated from complex combinatorial mixtures, providing a diverse pool of potential binders that can be screened and selected for specific target recognition.
Researchers measure the effectiveness of these tools by their ability to inhibit or modulate target protein function. This phenomenon is evaluated by observing the impact of intramer expression on the biological pathways where the target protein is active.
The authors propose that these technologies will facilitate the characterization of unknown protein functions. They suggest that this capability will lead to significant advancements in both functional genomics and the identification of new drug targets.