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Andrusivova, Zaneta
Publications (3 of 3) Show all publications
Maniatis, S., Aijo, T., Vickovic, S., Braine, C., Kang, K., Mollbrink, A., . . . Phatnani, H. (2019). Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis. Science, 364(6435), 89-+
Open this publication in new window or tab >>Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis
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2019 (English)In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 364, no 6435, p. 89-+Article in journal (Refereed) Published
Abstract [en]

Paralysis occurring in amyotrophic lateral sclerosis (ALS) results from denervation of skeletal muscle as a consequence of motor neuron degeneration. Interactions between motor neurons and glia contribute to motor neuron loss, but the spatiotemporal ordering of molecular events that drive these processes in intact spinal tissue remains poorly understood. Here, we use spatial transcriptomics to obtain gene expression measurements of mouse spinal cords over the course of disease, as well as of postmortem tissue from ALS patients, to characterize the underlying molecular mechanisms in ALS. We identify pathway dynamics, distinguish regional differences between microglia and astrocyte populations at early time points, and discern perturbations in several transcriptional pathways shared between murine models of ALS and human postmortem spinal cords.

Place, publisher, year, edition, pages
AMER ASSOC ADVANCEMENT SCIENCE, 2019
National Category
Neurosciences
Identifiers
urn:nbn:se:kth:diva-251500 (URN)10.1126/science.aav9776 (DOI)000463585700040 ()30948552 (PubMedID)2-s2.0-85064324686 (Scopus ID)
Note

QC 20190515

Available from: 2019-05-15 Created: 2019-05-15 Last updated: 2019-05-15Bibliographically approved
Asp, M., Borgström, E., Stuckey, A., Gruselius, J., Carlberg, K., Andrusivova, Z., . . . Lundeberg, J.Spatial Isoform Profiling within Individual Tissue Sections.
Open this publication in new window or tab >>Spatial Isoform Profiling within Individual Tissue Sections
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Spatial Transcriptomics has been shown to be a persuasive RNA sequencing

technology for analyzing cellular heterogeneity within tissue sections. The

technology efficiently captures and barcodes 3’ tags of all polyadenylated

transcripts from a tissue section, and thus provides a powerful platform when

performing quantitative spatial gene expression studies. However, the current

protocol does not recover the full-length information of transcripts, and

consequently lack information regarding alternative splice variants. Here, we

introduce a novel protocol for spatial isoform profiling, using Spatial

Transcriptomics barcoded arrays.

National Category
Biological Sciences
Research subject
Biotechnology
Identifiers
urn:nbn:se:kth:diva-235650 (URN)
Note

QC 20181002

Available from: 2018-10-01 Created: 2018-10-01 Last updated: 2018-10-02Bibliographically approved
Fernandez Navarro, J., Croteau, D., Jurek, A., Andrusivova, Z., Bohr, V. A. & Lundeberg, J.Spatial Transcriptomics characterization of Alzheimer’s disease in the adult mouse brain.
Open this publication in new window or tab >>Spatial Transcriptomics characterization of Alzheimer’s disease in the adult mouse brain
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Alzheimer’s disease (AD) is a devastating neurological disease associated with progressive loss of mental skills, cognitive and physical functions. Here, our goal was to uncover novel and known molecular targets in the structured layers of the hippocampus and olfactory bulbs that may contribute to hippocampal synaptic dysfunction and smelling defects in AD mice. Spatial Transcriptomics was used to identify high confidence genes that were differentially regulated in AD mice relative to controls. A discussion of how these genes may contribute to AD pathology is provided.

Keywords
Alzheimer's disease, Spatial Transcriptomics, single cell RNA-seq
National Category
Medical and Health Sciences
Research subject
Biotechnology
Identifiers
urn:nbn:se:kth:diva-262873 (URN)
Note

QC 20191023

Available from: 2019-10-22 Created: 2019-10-22 Last updated: 2019-10-23Bibliographically approved
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