PLoS ONENeurosciencePeer-reviewed journal article
Shared and distinct microRNA profiles between HT22, N2A and SH-SY5Y cell lines and primary mouse hippocampal neurons
Ronan Murphy, Javier Villegas-SalmeróniD, Amaya Sanz‐Rodriguez, Tobías EngeliD, Catherine MooneyiD, David Clifford HenshalliD, Eva Maria Jimenez-MateosiD
Abstract
MicroRNAs (miRNA) are small non-coding RNAs that are key negative regulators of gene expression. Their roles include shaping the gene expression landscape during and after brain development by defining and maintaining levels of proteins that generate the distinct morphological and functional properties of neurons and other brain cell types. HT22, N2A, and SH-SY5Y are common immortalized neuronal cell lines that offer simple, less expensive, and time-saving options for in vitro modelling to evaluate miRNA functions. The extent to which these lines reflect primary neurons remains, however, unclear. Here, we benchmarked the miRNA profiles of cultured mouse hippocampal neurons against Argonaute-loaded miRNAs in the adult mouse hippocampus and miRNA data from the hippocampus of patients with drug-resistant temporal lobe epilepsy. We then compared the miRNA expression landscape in HT22, N2A and SH-SY5Y against mouse hippocampal primary cell cultures. We profiled over 700 miRNAs across the lines and detected 310 miRNAs in all four cell types. This included detection of neuron-enriched miRNAs such as miR-124 and miR-128, although the cell lines typically displayed lower levels of these than in primary neurons and reference adult hippocampal tissue. The miRNA profile in the HT22 cell line showed the highest correlation to the mouse primary neuronal cultures. Together, this study provides a dataset on basal miRNA expression across commonly used cell lines for neuroscience research and evidence for both conserved and distinct profiles that should be used to inform decisions on cell lines for modelling brain and miRNA research.
- organism: mouse
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: benchmarking
- approach: statistical model
- approach: benchmark study
- Citations
- 3
- FWCI
- 1.34
- Field percentile
- top 18%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- microRNA profiling of mouse cortical progenitors and neurons reveals miR-486-5p as a novel regulator of neurogenesis
Martina Dori, Daniel Cavalli, … Federico Calegari·DevelopmentPeer-reviewed·Apr 9, 2020
- Human brain microRNAs exhibit cell-type specificity and agedependence
Serafima Dubnov, Lihen Laski, … Hermona Soreq·bioRxiv·Aug 2, 2026
- In Vivo AGO-APP For Cell-Type- and Compartment-Specific miRNA Profiling in the Mouse Brain
Surbhi Surbhi, Andrea Erni, … Christophe Béclin·Cell Reports MethodsPeer-reviewed·Dec 29, 2025
- Regulation of Cell-Type-Specific Transcriptomes by miRNA Networks During Human Brain Development
Tomasz Jan Nowakowski, Neha Rani, … Kenneth S. Kosik·Nature NeurosciencePeer-reviewed·Nov 8, 2018
- Unique Microglial Transcriptomic Signature within the Hippocampal Neurogenic Niche
S. Chintamen, P. Gaur, … S. G. Kernie·bioRxiv·Aug 29, 2021
- MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity
Ya-Lin Lu, Yangjian Liu, … Andrew S.J. Yoo·Proceedings of the National Academy of SciencesPeer-reviewed·May 24, 2021