Devi Krishna Priya Karunakaran

The UNC5C T835M mutation associated with Alzheimer’s disease leads to neurodegeneration involving oxidative stress and hippocampal atrophy in aged mice

Devi Krishna Priya Karunakaran, Makenna Ley, Ammaarah Khatri, Katherine R. Sadleir et autres

Abstract Alzheimer’s disease (AD) is characterized by amyloid plaques, neurofibrillary tangles, and synaptic and neuronal loss. Recently, a rare autosomal dominant coding mutation, T835M, in the Un-coordinated 5c (UNC5C) netrin receptor gene was segregated with late-onset AD (LOAD). Overexpression of T835M in …

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Annexin A6 membrane repair protein protects against amyloid-induced dystrophic neurites and tau phosphorylation in Alzheimer’s disease model mice

Katherine R. Sadleir, Karen Gómez, A. Edwards, Makenna Ley et autres

In Alzheimer's disease, accumulation of amyloid-β (Aβ) peptide is thought to cause formation of neurofibrillary tangles composed of hyperphosphorylated tau protein, which correlates with neuronal loss and cognitive impairment, but the mechanism linking Aβ and tau pathologies is unknown. Dystrophic neurites, which …

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The UNC5C T835M mutation associated with Alzheimer’s disease leads to neurodegeneration involving oxidative stress and hippocampal atrophy in aged mice

Devi Krishna Priya Karunakaran, Makenna Ley, Ammaarah Khatri, Katherine R. Sadleir et autres

P1‐163: MOLECULAR MECHANISMS OF THE ALZHEIMER'S RISK GENE UNC5C IN NEURONAL DEATH

Devi Krishna Priya Karunakaran, Katherine R. Sadleir, Shahrnaz Kemal, Leah K. Cuddy et autres

Alzheimer's disease (AD) is characterized by amyloid plaques, neurofibrillary tangles, and synaptic and neuronal loss. The mechanism of neuron death in AD, however, remains unexplored. Recently, a rare autosomal dominant coding mutation, T835M, was discovered in the Un-coordinated 5c (Unc5c) netrin receptor …

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In Vivo and Explant Electroporation of Morpholinos in the Developing Mouse Retina

Devi Krishna Priya Karunakaran, Rahul Kanadia

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Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

BACKGROUND: The retina as a model system with extensive information on genes involved in development/maintenance is of great value for investigations employing deep sequencing to capture transcriptome change over time. This in turn could enable us to find patterns in gene expression …

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Additional file 6: Table S5. of Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

DE based analysis results for static and temporal comparisons. DE based analyses for static (P21WT vs. P21KO) (S5.1) and temporal (P0 vs. P21WT and P0 vs. P21KO) comparisons (S5.2, S5.3). (XLSX 4196 kb)

Additional file 7: Table S6. of Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

DAVID analysis output of DE based analyses for static and temporal comparisons. Results of DAVID analysis based on DE genes for P0 vs. P21WT (S6.1), P0 vs. P21KO (S6.2), and P21WT vs. P21KO (S6.3) comparisons. (XLSX 41 kb)

Additional file 2: Table S1. of Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

Output of Binning in E16CE – P0CE and P0CE –P0NE comparisons. Custom bioinformatics pipeline and binning of E16CE - P0CE and P0CE-P0NE comparisons at the gene level (S1.1, S1.3) and isoform level (S1.2, S1.4) as discussed in the strategy in Fig. 1c. …

Additional file 5: Table S4. of Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

Binning results in P21-Nrl-WT vs. P21-Nrl-KO, P0 vs. P21-Nrl-WT and P0 vs. P21-Nrl-KO comparisons. Custom bioinformatics pipeline and binning of P21-Nrl-WT vs. P21-Nrl-KO (S4.1), P0 (P0CE + P0NE) vs. P21WTcomparison (S4.2) and P0 (P0CE + P0NE) vs. P21KO comparison (S4.3). (XLSX 4018 …

Additional file 4: Table S3. of Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

Microarray analysis results. Clusters generated through K-means clustering in Genesis for the microarray. (XLSX 330 kb)

Additional file 3: Table S2. of Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development

Devi Krishna Priya Karunakaran, Sahar Al Seesi, Abdul Rouf Banday, Marybeth Baumgartner et autres

DAVID analysis output for static and temporal comparisons. DAVID output for genes belonging to bins in E16CE-P0CE comparison (S2.1), P0CE-P0NE comparison (S2.2), P0 vs. P21-Nrl-WT comparison (S2.3),P0 vs. P21-Nrl-KO comparison (S2.4) and P21-Nrl-WT vs. P21-Nrl-KO comparison (S2.5). (XLSX 140 kb)