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Updated: Feb 24, 2026

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

Cardiac transcriptome profiling of diabetic Akita mice using microarray and next generation sequencing.

Varun Kesherwani¹, Hamid R Shahshahan¹, Paras K Mishra^1,2

¹Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE, United States of America.

|August 25, 2017

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Diabetic cardiomyopathy molecular mechanisms were unclear. Akita mice showed cardiac dysfunction, fibrosis, and hyperglycemia. Transcriptome analysis identified key genes and non-coding RNAs involved in diabetic heart failure.

Area of Science:

Cardiovascular Biology
Molecular Endocrinology
Genomics

Background:

Diabetes mellitus (DM) is linked to cardiomyopathy and heart failure.
The molecular basis of diabetic cardiomyopathy remains poorly understood.
The Ins2+/- Akita mouse model exhibits type 1 diabetes and cardiac dysfunction.

Purpose of the Study:

To investigate molecular changes in the heart of diabetic Akita mice.
To identify differentially expressed genes and non-coding RNAs in diabetic cardiomyopathy.
To elucidate the role of these molecules in heart failure signaling pathways.

Main Methods:

Cardiac transcriptome profiling using next-generation sequencing (NGS) and microarray.
Validation of hyperglycemia, cardiac fibrosis, and dysfunction in Akita mice.

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Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

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Published on: May 2, 2025

Ingenuity Pathway Analysis (IPA) to assess signaling pathway implications.

Main Results:

NGS identified 137 differentially expressed transcripts, including upregulated BMP10 and downregulated HELT.
Microarray identified 351 differentially expressed transcripts, including upregulated Vmn1r180 and downregulated WDR83OS.
Upregulated lncRNAs (H19, miR-101c) and downregulated lncRNA (Neat1) were observed; eleven common genes were upregulated by both methods.

Conclusions:

Identified key differentially expressed genes and non-coding RNAs in diabetic cardiomyopathy.
These findings provide targets for future research into diabetic heart disease.
The study offers a molecular platform for understanding diabetic cardiomyopathy mechanisms.