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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where...
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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An arithmetic sequence is a structured arrangement of numbers where each term is derived by adding a constant value, known as the common difference, to the previous term. This consistent pattern allows for the efficient computation of any term within the sequence as well as the cumulative sum of multiple terms. The formula for finding the nth term of an arithmetic sequence is:Here, aₙ represents the nth term of the sequence, a is the first term, d is the common difference, and n is the...
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Related Experiment Video

Updated: Jan 30, 2026

Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test
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A crash course in sequencing for a microbiologist.

Aleksandra Kozińska1, Paulina Seweryn2, Izabela Sitkiewicz3

  • 1Department of Drug Biotechnology and Bioinformatics, National Medicines Institute, Chelmska 30/34, 00-725, Warszawa, Poland.

Journal of Applied Genetics
|January 27, 2019
PubMed
Summary

Next-generation sequencing (NGS) offers faster, cheaper bacterial analysis beyond genomes, advancing microbiology, diagnostics, and epidemiology. This powerful tool reveals bacterial regulatory networks and community structures.

Keywords:
MicrobiomeNext-generation sequencingPhylogenetic analysisSanger sequencingStructural genomicsTranscriptomics

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Sanger sequencing, while foundational, is time-consuming and expensive.
  • The Human Genome Project spurred the development of high-throughput sequencing technologies.
  • Next-generation sequencing (NGS) provides a more efficient alternative for large-scale genomic studies.

Purpose of the Study:

  • To review the diverse applications of NGS in studying bacteria beyond basic genome sequencing.
  • To highlight NGS's impact on molecular taxonomy, phylogenetics, comparative genomics, and diagnostics.
  • To discuss the integration of NGS data with other 'omics' for a comprehensive understanding of bacterial systems.

Main Methods:

  • Review of current literature on Next-Generation Sequencing applications in microbiology.
  • Analysis of NGS contributions to genomics, transcriptomics, and bacterial community studies.
  • Discussion of data integration challenges and future directions in bacterial systems biology.

Main Results:

  • NGS has revolutionized bacterial research, enabling high-throughput analysis of genomes and transcriptomes.
  • Applications extend to molecular taxonomy, phylogenetics, comparative genomics, diagnostics, and epidemiology.
  • RNA sequencing provides insights into bacterial regulatory processes and cellular functions.
  • NGS facilitates the study of bacterial communities and single-cell behavior.

Conclusions:

  • NGS has transformed the study of bacteria, offering broad applications from diagnostics to understanding complex regulatory networks.
  • Integrating genomic and transcriptomic data with proteomic and metabolomic data is crucial for reconstructing bacterial cellular functions and interactions.
  • Future research aims to build comprehensive models of bacterial cells and their environmental communication through multi-omics data integration.