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Related Concept Videos

Translational Regulation01:29

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
Types of RNA01:23

Types of RNA

Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA...
Bacterial RNA Polymerase00:43

Bacterial RNA Polymerase

Unlike eukaryotes, bacteria use a single RNA Polymerase (RNAP) to transcribe all genes. The different subunits of bacterial RNAPhave distinct functions. The multisubunit structure of the bacterial RNAP helps the enzyme to maintain catalytic function, facilitate assembly, interact with DNA and RNA, and self-regulate its activity.
In most genes, the transcription site is a single base present upstream of the coding sequence. Though RNAP is a catalytically efficient enzyme, it does not recognize...
Coordination of Gene Expression Processes in Bacteria01:29

Coordination of Gene Expression Processes in Bacteria

The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
Directing Proteins to the Rough Endoplasmic Reticulum01:34

Directing Proteins to the Rough Endoplasmic Reticulum

The organelle-specific signaling sequences direct proteins synthesized in the cytosol to their final destination like ER, mitochondria, peroxisomes, etc. Some of the proteins directed to ER are then trafficked via vesicles to other organelles within the cell or the extracellular environment through the Golgi complex. For example, the rough ER synthesizes soluble proteins for transportation to the lysosomes or secretion out of the cell. It can also synthesize transmembrane proteins that can...
Transcriptional Regulation: Riboswitches01:23

Transcriptional Regulation: Riboswitches

Riboswitches are RNA elements that regulate gene expression by altering their secondary structures in response to specific effector molecules. These elements, located in the leader regions of certain mRNAs, act as transcriptional regulators by toggling between alternative conformations to control downstream gene expression. Riboswitch-mediated regulation is a precise mechanism for modulating biosynthetic pathways, as exemplified by the riboflavin biosynthesis pathway in Bacillus...

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Related Experiment Video

Updated: May 16, 2026

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
08:34

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria

Published on: February 23, 2021

Predicting sRNAs and their targets in bacteria.

Wuju Li1, Xiaomin Ying, Qixuan Lu

  • 1Beijing Institute of Basic Medical Sciences, Beijing 100850, China. liwj@nic.bmi.ac.cn

Genomics, Proteomics & Bioinformatics
|December 4, 2012
PubMed
Summary

Bacterial small RNAs (sRNAs) regulate gene expression and environmental responses. This review details bioinformatics methods for identifying sRNAs and their targets, highlighting current approaches and future directions.

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DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
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Published on: July 21, 2014

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Last Updated: May 16, 2026

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
08:34

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria

Published on: February 23, 2021

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Area of Science:

  • Microbiology
  • Molecular Biology
  • Bioinformatics

Background:

  • Bacterial small RNAs (sRNAs) are key regulators of gene expression and cellular responses.
  • Identifying sRNAs and their targets is crucial for understanding bacterial biology.
  • Current discovery methods rely heavily on bioinformatics prediction followed by experimental validation.

Purpose of the Study:

  • To provide an overview of bioinformatics prediction methods for bacterial sRNAs and their targets.
  • To discuss the strengths and weaknesses of various prediction models.
  • To outline future perspectives for developing improved bioinformatics tools.

Main Methods:

  • Literature review of existing bioinformatics approaches for sRNA and target prediction.
  • Analysis of the merits and limitations of different prediction model classes.
  • Discussion of future trends in computational sRNA research.

Main Results:

  • Comprehensive overview of current bioinformatics strategies for bacterial sRNA and target identification.
  • Critical evaluation of the advantages and disadvantages of diverse prediction models.
  • Identification of key areas for future development in bioinformatics tools.

Conclusions:

  • Bioinformatics prediction plays a pivotal role in bacterial sRNA research.
  • Further advancements in computational models are needed for more accurate sRNA and target discovery.
  • Future work should focus on developing novel and robust bioinformatics approaches.