Back

Extended maturation of the HD10.6 immortalised human dorsal root ganglion cell line enables modelling of nociceptive responses and neural injury

Dhillon, K.; Ali Awadelkareem, M.; Perez Sanchez, J.; Baskozos, G.; Bennett, D. L.

2026-06-04 neuroscience
10.64898/2026.06.01.729276 bioRxiv
Show abstract

Human sensory neuron models are an important resource for studying pain mechanisms and axon injury and repair. Current systems are limited by accessibility, scalability, or incomplete functional maturation. The HD10.6 human dorsal root ganglion-derived immortalised cell line represents a promising alternative; however, its maturation trajectory and suitability for disease modelling remain incompletely defined. Here, we performed a longitudinal, multi-modal characterisation of HD10.6 cells during differentiation over 28 days. Bulk RNA sequencing revealed progressive transcriptional remodelling, with temporal up-regulation of neuronal and nociceptor-associated gene programmes, including ion channels implicated in pain signalling. Protein-level analyses confirmed increased expression of key nociceptor markers and neuropeptides, including TRPV1, Nav1.7, Nav1.8 and CGRP. Functional assays demonstrated the emergence of sensory neuron-like properties over time. Calcium imaging revealed increasing responsiveness to capsaicin, allyl isothiocyanate, ,{beta}-MeATP, and prostaglandin E2, while patch-clamp electrophysiology at DIV 21 after maturation showed repetitive firing of action potential and, most importantly, exhibited TTX-Resistant sodium currents. These findings establish a temporal relationship between transcriptional changes and functional competence. Finally, we evaluated the utility of HD10.6 neurons for modelling axon degeneration. Treatment with vacor-induced robust neurite degeneration, which was attenuated by pharmacological inhibition of SARM1, demonstrating engagement of conserved axon degeneration pathways. Together, our findings define the progressive maturation of HD10.6 sensory neurons and establish this system as a scalable human platform for studying nociceptor biology and SARM1-dependent axon degeneration.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Pain
78 papers in training set
Top 0.2%
8.8%
2
Scientific Reports
3612 papers in training set
Top 11%
6.6%
3
Brain
168 papers in training set
Top 0.5%
6.2%
4
Nature Communications
5641 papers in training set
Top 26%
6.2%
5
Cell Reports
1498 papers in training set
Top 7%
5.4%
6
Frontiers in Molecular Neuroscience
47 papers in training set
Top 0.1%
4.8%
7
Frontiers in Cellular Neuroscience
91 papers in training set
Top 0.4%
4.0%
8
eLife
5828 papers in training set
Top 30%
4.0%
9
Neurobiology of Pain
11 papers in training set
Top 0.1%
3.5%
10
Glia
81 papers in training set
Top 0.5%
3.1%
50% of probability mass above
11
EMBO Molecular Medicine
95 papers in training set
Top 0.4%
2.7%
12
Science Advances
1243 papers in training set
Top 17%
2.1%
13
Journal of Neuroinflammation
61 papers in training set
Top 0.7%
2.1%
14
eneuro
439 papers in training set
Top 4%
2.1%
15
iScience
1154 papers in training set
Top 15%
1.9%
16
JCI Insight
277 papers in training set
Top 4%
1.9%
17
Stem Cell Reports
130 papers in training set
Top 1%
1.7%
18
Advanced Science
286 papers in training set
Top 5%
1.7%
19
PLOS ONE
5266 papers in training set
Top 50%
1.7%
20
Journal of Translational Medicine
57 papers in training set
Top 1.0%
1.4%
21
Communications Biology
993 papers in training set
Top 19%
1.3%
22
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.1%
23
The Journal of Neuroscience
1025 papers in training set
Top 9%
1.1%
24
Disease Models & Mechanisms
20 papers in training set
Top 0.2%
1.0%
25
Cell Death Discovery
58 papers in training set
Top 1%
0.9%
26
Acta Neuropathologica
58 papers in training set
Top 1%
0.8%
27
PLOS Genetics
862 papers in training set
Top 14%
0.6%
28
Brain Communications
166 papers in training set
Top 4%
0.6%
29
Nature Neuroscience
252 papers in training set
Top 6%
0.6%
30
International Journal of Molecular Sciences
494 papers in training set
Top 18%
0.6%