Decoding transcriptomic signatures of Cysteine String Protein alpha-mediated synapse maintenance
Wang, N.; Zhu, B.; Allnutt, M. A.; Grijalva, R. M.; Zhao, H.; Chandra, S. S.
Show abstract
Synapse maintenance is essential for generating functional circuitry and decrement in this process is a hallmark of neurodegenerative disease. While we are beginning to understand the basis of synapse formation, much less is known about synapse maintenance in vivo. Cysteine string protein (CSP), encoded by the Dnajc5 gene, is a synaptic vesicle chaperone that is necessary for synapse maintenance and linked to neurodegeneration. To investigate the transcriptional changes associated with synapse maintenance, we performed single nucleus transcriptomics on the cortex of young CSP knockout (KO) mice and littermate controls. Through differential expression and gene ontology analysis, we observed that both neurons and glial cells exhibit unique signatures in CSP KO brain. Significantly all neurons in CSP KO brains show strong signatures of repression in synaptic pathways, while upregulating autophagy related genes. Through visualization of synapses and autophagosomes by electron microscopy, we confirmed these alterations especially in inhibitory synapses. By imputing cell-cell interactions, we found that neuron-glia interactions were specifically increased in CSP KO mice. This was mediated by synaptogenic adhesion molecules, including the classical Neurexin1-Neuroligin 1 pair, suggesting that communication of glial cells with neurons is strengthened in CSP KO mice in an attempt to achieve synapse maintenance. Together, this study reveals unique cellular and molecular transcriptional changes in CSP KO cortex and provides new insights into synapse maintenance and neurodegeneration. Significance statementSynapse maintenance is important for maintaining neuronal circuitry throughout life. However, little is known about molecules that affect synapse maintenance in vivo. CSP, encoded by the Dnajc5 gene, is a synaptic vesicle chaperone that is linked to synapse maintenance and neurodegeneration. Here, we show by performing single nucleus transcriptomics of CSP KO cortex that synapse instability is related to repression in synaptic pathways and elevation of autophagy in neurons. However, we find a heterogeneity of glial responses. Additionally, interactions between neurons and glia are increased in CSP KO, mediated by synaptogenic adhesion molecules. This study provides a novel perspective on into synapse maintenance and reveals unique cellular and molecular transcriptional changes in CSP KO brains.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Heterozygosity for neurodevelopmental disorder-associated TRIO variants yields distinct deficits in behavior, neuronal development, and synaptic transmission in mice. 97%
- An antisense oligonucleotide-based strategy to ameliorate cognitive dysfunction in the 22q11.2 Deletion Syndrome 96%
- Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway. 96%
Similar papers in this journal
Similar papers in this journal
- Local translation in perisynaptic astrocytic processes is specific and regulated by fear conditioning 97%
- Deep proteomics identifies shared molecular pathway alterations in synapses of schizophrenia and bipolar disorder patients and mouse model 95%
- Role of PARP1 in oligodendrocyte differentiation during developmental myelination and remyelination after myelin damage 95%
Similar papers in this journal
- Divergent impacts of C9orf72 repeat expansion on neurons and glia in ALS and FTD 96%
- Synapse type-specific proteomic dissection identifies IgSF8 as a hippocampal CA3 microcircuit organizer 96%
- Ire1α-Regulated mRNA Translation Rate Controls the Identity and Polarity of Upper Layer Cortical Neurons 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.