Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association of glycolipid metabolism 6 factors index with cardiovascular and metabolic diseases, and its predictive value in disease progression.

BMC endocrine disorders·2026
Same author

KRT14 Drives Basal Muscle-Invasive Bladder Cancer Progression and Lung Metastasis by Directly Binding to and Stabilizing IGF2BP1.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Inhibition of GLUT1 Ameliorates Thickening of the Glomerular Basement Membrane via the Rheb/mTORC1 Pathway in Diabetic Nephropathy.

Diabetes·2026
Same author

Probiotic potential of <i>Lactiplantibacillus plantarum</i> LBK from Koumiss in reducing hyperuricemia through gut microbiota modulation.

Frontiers in microbiology·2026
Same author

Phase-sensitive evidence for pair density waves in a kagome superconductor.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Glycine linker modulates the tunable self-assembly and antibacterial efficacy of octanoyl lipopeptides.

Colloids and surfaces. B, Biointerfaces·2026
Same journal

Assessing the sustainability of reef and demersal fish stocks in Northwest México under a data-limited approach.

PeerJ·2026
Same journal

The impact of virtual reality exercise programs on postpartum pelvic pain and disability among women with lumbopelvic pain.

PeerJ·2026
Same journal

Soil salinity modulates fatty acid composition and antioxidant capacity of rice bran oil.

PeerJ·2026
Same journal

The optimal dose of brisk walking for improving blood pressure in hypertensive patients: a systematic review and bayesian meta-analysis of randomized controlled trials.

PeerJ·2026
Same journal

Enhanced sweet pepper yield through high-intensity artificial lighting and optimized plant density in high-latitude winter production.

PeerJ·2026
Same journal

Prenatal corticosteroid use improves the severity and complications of necrotizing enterocolitis in preterm infants: a retrospective multicenter clinical study in China.

PeerJ·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2026

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
10:08

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Published on: March 5, 2017

9.5K

Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize.

Shukai Wang1, Yancui Wang1, Xitong Xu1

  • 1College of Agronomy, Shandong Agricultural University, Taian, Shandong, China.

Peerj
|April 4, 2025
PubMed
Summary
This summary is machine-generated.

This study identified 11,897 differentially expressed genes in maize kernel row number development. Key candidate genes involved in development and hormone signaling were pinpointed for future research.

Keywords:
Comparative transcriptomeKernel row numberMaizeQuantitative trait locus

More Related Videos

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
07:26

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

6.1K
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

7.4K

Related Experiment Videos

Last Updated: Jul 4, 2026

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
10:08

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Published on: March 5, 2017

9.5K
Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
07:26

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

6.1K
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

7.4K

Area of Science:

  • Plant Genetics
  • Maize Breeding
  • Molecular Biology

Background:

  • Kernel row number (KRN) is a vital quantitative trait in maize influencing crop yield.
  • Understanding the genetic basis of KRN is crucial for maize improvement.
  • Limited genes controlling KRN have been identified to date.

Purpose of the Study:

  • To identify candidate genes controlling kernel row number (KRN) in maize.
  • To analyze transcriptome-wide gene expression during early ear development in maize.
  • To provide genetic resources for elucidating KRN molecular mechanisms.

Main Methods:

  • Transcriptome analysis of two contrasting maize inbred lines at five developmental stages.
  • Differential gene expression analysis to identify line-specific DEGs.
  • Gene ontology enrichment and QTL/QTN analysis to identify candidate genes.

Main Results:

  • 11,897 line-specific differentially expressed genes (DEGs) were detected across five developmental stages.
  • Gene expression patterns were divided into two phases (V6-V8 and V9-V10) with distinct enriched pathways.
  • 92 high-probability candidate genes, including transcription factors and hormone-related genes, were identified within QTLs/QTNs.

Conclusions:

  • The study identified key candidate genes regulating maize kernel row number development.
  • Transcriptional pathways related to morphogenesis, differentiation, and hormone regulation are crucial in early ear development.
  • Provides valuable genetic resources for future gene cloning and maize breeding efforts.