Cell-specific and region-specific transcriptomics in the multiple sclerosis model: Focus on astrocytes Article Swipe
Noriko Itoh
,
Yuichiro Itoh
,
Alessia Tassoni
,
Emily Ren
,
Max Kaito
,
Ai Ohno
,
Yan Ao
,
Vista Farkhondeh
,
Hadley Johnsonbaugh
,
Joshua E. Burda
,
Michael V. Sofroniew
,
Rhonda R. Voskuhl
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1073/pnas.1716032115
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1073/pnas.1716032115
Significance Molecular mechanisms underlying distinct disabilities during neurological diseases may differ based on the neurological pathway involved. Multiple sclerosis (MS) is multifocal, characterized by distinct disabilities affecting walking, vision, cognition, and fatigue. Neuroprotective treatments tailored for each disability may be more effective than nonspecific treatments aiming to reduce a composite of disabilities in clinical trials. Here, we use the MS model to apply a cell-specific and region-specific gene expression approach to discover targets in distinct neuroanatomic regions. Altered cholesterol synthesis gene expression in astrocytes in spinal cord and optic nerve was identified as a potential target for walking and visual disabilities, respectively. This disability-specific discovery approach represents a strategy for finding neuroprotective treatments for multifocal neurodegenerative diseases.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1073/pnas.1716032115
- https://www.pnas.org/content/pnas/115/2/E302.full.pdf
- OA Status
- bronze
- Cited By
- 248
- References
- 71
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2777702274
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2777702274Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1073/pnas.1716032115Digital Object Identifier
- Title
-
Cell-specific and region-specific transcriptomics in the multiple sclerosis model: Focus on astrocytesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
-
2017-12-26Full publication date if available
- Authors
-
Noriko Itoh, Yuichiro Itoh, Alessia Tassoni, Emily Ren, Max Kaito, Ai Ohno, Yan Ao, Vista Farkhondeh, Hadley Johnsonbaugh, Joshua E. Burda, Michael V. Sofroniew, Rhonda R. VoskuhlList of authors in order
- Landing page
-
https://doi.org/10.1073/pnas.1716032115Publisher landing page
- PDF URL
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https://www.pnas.org/content/pnas/115/2/E302.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://www.pnas.org/content/pnas/115/2/E302.full.pdfDirect OA link when available
- Concepts
-
Multiple sclerosis, Neuroprotection, Neuroscience, Medicine, Spinal cord, Physical medicine and rehabilitation, Psychology, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
248Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 19, 2024: 33, 2023: 37, 2022: 37, 2021: 42Per-year citation counts (last 5 years)
- References (count)
-
71Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.respectively. | 101 |
| abstract_inverted_index.Neuroprotective | 32 |
| abstract_inverted_index.neuroprotective | 111 |
| abstract_inverted_index.region-specific | 66 |
| abstract_inverted_index.neurodegenerative | 115 |
| abstract_inverted_index.disability-specific | 103 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5028071943 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I161318765 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.99488399 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |