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Related Concept Videos

Directing Effect of Substituents: meta-Directing Groups01:09

Directing Effect of Substituents: meta-Directing Groups

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Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
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What is Natural Selection?01:32

What is Natural Selection?

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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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Antibiotic Selection00:57

Antibiotic Selection

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Types of Selection01:46

Types of Selection

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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Frequency-dependent Selection01:21

Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H01:13

meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H

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All meta-directing substituents are deactivating groups. These substituents withdraw electrons from the aromatic ring, making the ring less reactive toward electrophilic substitution. For example, the nitration of nitrobenzene is 100,000 times slower than that of benzene because of the deactivating effect of the nitro group. The first step in an electrophilic aromatic substitution is the addition of an electrophile to form a resonance-stabilized carbocation. The energy diagrams for...
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Related Experiment Video

Updated: Feb 13, 2026

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
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Improving Reproducibility and Candidate Selection in Transcriptomics Using Meta-analysis.

Laurence A Brown1, Stuart N Peirson1

  • 1Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.

Journal of Experimental Neuroscience
|March 8, 2018
PubMed
Summary
This summary is machine-generated.

Transcriptomic meta-analysis improves gene discovery in neuroscience by combining data from multiple studies. This approach enhances reproducibility and leverages open-access data for robust candidate gene identification.

Keywords:
Meta-analysiscircadianopen sciencereproducibilitytranscriptomics

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Area of Science:

  • Neuroscience
  • Genomics
  • Systems Biology

Background:

  • Transcriptomic studies in neuroscience aim to identify candidate genes.
  • Limited overlap exists between gene lists from comparable transcriptomic studies, posing reproducibility challenges.
  • Meta-analysis offers a solution by integrating data from multiple studies.

Purpose of the Study:

  • To discuss the application of transcriptomic meta-analyses in circadian biology.
  • To highlight how meta-analysis improves candidate gene selection.
  • To demonstrate the benefits of open data in neuroscience research.

Main Methods:

  • Utilizing transcriptomic meta-analysis techniques.
  • Combining data from multiple microarray and RNA-Sequencing (RNA-Seq) studies.
  • Leveraging publicly available gene expression datasets and open-source tools.

Main Results:

  • Transcriptomic meta-analyses in circadian biology have successfully refined candidate gene identification.
  • The integration of data from multiple studies enhances the reliability of identified gene lists.
  • Open data initiatives facilitate reproducible and powerful transcriptomic research.

Conclusions:

  • Transcriptomic meta-analysis is a valuable tool for improving reproducibility in neuroscience.
  • The increasing availability of public transcriptomic data and open tools makes meta-analysis accessible.
  • Open data practices significantly benefit neuroscience research by enabling robust gene discovery.