GENE EXPRESSION PATTERNS

Scope & Guideline

Bridging Theory and Practice in Gene Regulation

Introduction

Welcome to the GENE EXPRESSION PATTERNS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of GENE EXPRESSION PATTERNS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1567-133x
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2001 to 2024
AbbreviationGENE EXPR PATTERNS / Gene Expr. Patterns
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

GENE EXPRESSION PATTERNS focuses on the intricate dynamics of gene expression across various biological contexts, emphasizing developmental processes, tissue specificity, and evolutionary aspects of gene regulation.
  1. Developmental Gene Expression:
    The journal emphasizes studies that explore gene expression patterns during various stages of development across multiple species, including mammals, fish, and invertebrates.
  2. Tissue-Specific Expression:
    Research highlighting how gene expression varies in different tissues, contributing to our understanding of organ development and function.
  3. Comparative Genomics and Evolutionary Biology:
    The journal includes works that compare gene expression across species to uncover evolutionary relationships and conserved mechanisms.
  4. Mechanisms of Gene Regulation:
    Studies investigating the molecular mechanisms that control gene expression, including transcription factors, signaling pathways, and epigenetic modifications.
  5. Functional Genomics:
    Research that links gene expression data to functional outcomes, particularly in developmental biology and regenerative processes.
Recent publications in GENE EXPRESSION PATTERNS indicate a shift towards exploring new themes and methodologies that reflect contemporary scientific interests and advancements.
  1. Regenerative Biology:
    There is an increasing emphasis on gene expression studies related to regeneration, especially in model organisms like zebrafish, reflecting broader interests in stem cell research and tissue repair.
  2. Single-Cell Transcriptomics:
    Emerging studies utilizing single-cell RNA sequencing techniques are gaining traction, allowing for more detailed insights into cellular heterogeneity and developmental processes.
  3. Non-Coding RNA and Gene Regulation:
    Research focusing on the role of non-coding RNAs in regulating gene expression is on the rise, highlighting their significance in developmental biology and disease.
  4. Environmental Influences on Gene Expression:
    There is a growing interest in how environmental factors affect gene expression, particularly in developmental contexts, which is crucial for understanding adaptation and evolution.
  5. Integration of Multi-Omics Approaches:
    Research integrating transcriptomics with other omics data (like proteomics and metabolomics) is becoming more prevalent, allowing for a holistic understanding of biological processes.

Declining or Waning

While GENE EXPRESSION PATTERNS continues to thrive in several key areas, certain themes are becoming less prominent over time, indicating a shift in focus among researchers.
  1. Plant Gene Expression Studies:
    Research focused on gene expression in plants, while still relevant, has seen a decline in frequency, possibly due to a shift towards animal models and developmental processes.
  2. Computational Gene Expression Analysis:
    Papers that primarily focus on computational methods for analyzing gene expression data are less frequent, suggesting a move towards more experimental and integrative approaches.
  3. Clinical Applications of Gene Expression:
    While clinical relevance remains important, studies directly correlating gene expression with clinical outcomes in humans have diminished, possibly due to a focus on basic research.

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