Back

Spatial transcriptomics identifies dysregulated programs across neural and non-neural tissues in spinal muscular atrophy

Rietz, A.; Kumari, L.; Androphy, E. J.

2026-03-23 cell biology
10.64898/2026.03.20.713154 bioRxiv
Show abstract

Spinal muscular atrophy (SMA) is caused by insufficient levels of the survival motor neuron (SMN) protein and clinically manifests as profound weakness due to motor neuron degeneration. While recent evidence suggests it is a multisystem disorder, the pathological programs in neural and peripheral tissues are poorly understood. We applied spatial transcriptomics to cross-sections from the entire lumbar region of pre-symptomatic SMA and control mice to define early, tissue-wide transcriptional consequences of SMN deficiency. This approach enabled spatially preserved analysis of spinal cord, dorsal root ganglia, muscle, bone, cartilage, bone marrow, adipose, and connective tissues within their native anatomical context. Within the SMA spinal cord, motor neuron associated regions and ventral interneurons exhibited upregulation of neurofilaments, tubulin isoforms, and microtubule transport machinery. Neurofilament changes were largely restricted to motor neurons, and tubulin dysregulation extended broadly across ventral regions. Multiple tissues displayed collagen and extracellular matrix gene dysregulation at post-natal day 4. Skeletal muscle demonstrated fiber type-specific stress responses, including induction of atrophy-associated genes, while bone displayed an osteoclast-dominant transcriptional signature, consistent with accelerated resorption and a pro-osteoporotic state. Bone marrow transcriptomes indicated activation of neutrophil degranulation, innate immune signaling, and osteoclastogenic pathways, identifying bone marrow as an active inflammatory and skeletal regulatory niche in SMA. Adipose tissue exhibited extracellular matrix dysregulation, complement activation, profibrotic TGF-{beta} signaling, and stress-induced lipolysis. These findings reveal that SMN deficiency drives early transcriptional reprogramming across multiple tissues well before motor neuron loss and identify non-neuronal pathological programs that offer therapeutic targets for improving long-term outcomes in SMA.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
JCI Insight
241 papers in training set
Top 0.1%
18.7%
2
Nature Communications
4913 papers in training set
Top 14%
12.4%
3
Developmental Cell
168 papers in training set
Top 2%
9.2%
4
Cell Reports
1338 papers in training set
Top 6%
6.8%
5
eLife
5422 papers in training set
Top 17%
4.9%
50% of probability mass above
6
Cell Reports Medicine
140 papers in training set
Top 1%
4.0%
7
Science Translational Medicine
111 papers in training set
Top 0.6%
4.0%
8
Cell Metabolism
49 papers in training set
Top 0.7%
2.4%
9
Science Advances
1098 papers in training set
Top 12%
2.1%
10
Journal of Cell Biology
333 papers in training set
Top 2%
1.7%
11
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.7%
12
Cell Systems
167 papers in training set
Top 8%
1.5%
13
Cell
370 papers in training set
Top 13%
1.3%
14
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 38%
1.2%
15
iScience
1063 papers in training set
Top 26%
0.9%
16
PLOS Biology
408 papers in training set
Top 18%
0.8%
17
Scientific Reports
3102 papers in training set
Top 73%
0.8%
18
Molecular Metabolism
105 papers in training set
Top 2%
0.8%
19
Life Science Alliance
263 papers in training set
Top 2%
0.7%
20
Molecular Biology of the Cell
272 papers in training set
Top 3%
0.7%
21
Molecular Cell
308 papers in training set
Top 10%
0.7%
22
Communications Biology
886 papers in training set
Top 24%
0.7%
23
Human Molecular Genetics
130 papers in training set
Top 3%
0.7%
24
Nature Neuroscience
216 papers in training set
Top 6%
0.7%
25
Immunity
58 papers in training set
Top 4%
0.7%
26
Nature Genetics
240 papers in training set
Top 8%
0.7%