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- Creator:
- Danthi, Pranav
- Description:
- Apoptosis is a common host response to virus infection. The extent and timing of apoptosis following infection is controlled by the balance between the strength of signals that activate death signaling and those that promote the survival of cells. In many cell types, infection with Mammalian orthoreovirus (reovirus) results in induction of cell death by apoptosis late in infection. In this study, we uncovered that WD repeat-containing protein 81 (WDR81) is required for apoptosis induction after reovirus infection. The requirement for WDR81 for apoptosis induction is not unique to reovirus because cells lacking WDR81 are also resistant to apoptosis induced by other agonists that trigger the extrinsic apoptotic pathway. We find that in cells deficient in WDR81, expression of several pro-survival genes is upregulated. The expression of these genes is controlled by the inhibitor of kB kinase complex (IKK)-Nuclear Factor of kB (NFκB) signaling pathway. When IKK signaling is blocked in WDR81-deficient cells, pro-survival gene expression is restored to normal levels and the cells regain their susceptibility to reovirus-induced death receptor-triggered apoptosis. Our work uncovers a new function for WDR81 in controlling apoptosis. Additionally, it reveals a previously unknown link between endosomally localized protein WDR81 and IKK-NFκB signaling.
- Citation to related publication:
- Title:
- WDR81 controls IKK dependent cell survival
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- Creator:
- Indiana Geographic Information Office
- Description:
- Includes geodatabases with address points, street centerlines, parcels, county boundaries, and other assorted geographic units for years 2013, 2014, 2015, 2018. There is limited metadata for these data and they are not otherwise publicly available. Please contact the Indiana Geographic Information Office for more information.
- Keyword:
- Indiana GIS spatial data
- Citation to related publication:
- https://data-harvest-ingov.hub.arcgis.com/
- Title:
- 2013-2018 Indiana Statewide Geospatial Data Harvest
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- Creator:
- Indiana Geographic Information Office
- Description:
- Includes geodatabase with statewide address points, street centerlines, parcels, and county boundaries for Indiana, 2024. Also includes zipped shapefiles for individual counties, state geocoder, and real property geodatabase.
- Keyword:
- Indiana, GIS, spatial data
- Citation to related publication:
- https://dataharvest.gio.in.gov/
- Title:
- 2024 Indiana Statewide Geospatial Data Harvest
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- Creator:
- Indiana Geographic Information Office
- Description:
- Includes geodatabase with statewide address points, street centerlines, parcels, and county boundaries for Indiana, 2023. Also includes zipped shapefiles for individual counties, state geocoder, and real property geodatabase.
- Keyword:
- Indiana, GIS, and spatial data
- Citation to related publication:
- https://dataharvest.gio.in.gov/
- Title:
- 2023 Indiana Statewide Geospatial Data Harvest
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- Creator:
- Indiana Geographic Information Office
- Description:
- Includes geodatabase with statewide address points, street centerlines, parcels, and county boundaries for Indiana, 2022. Also includes zipped shapefiles for individual counties, state geocoder.
- Keyword:
- Indiana, GIS, and Spatial Data
- Citation to related publication:
- https://dataharvest.gio.in.gov/
- Title:
- 2022 Indiana Statewide Geospatial Data Harvest
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- Creator:
- Indiana Geographic Information Office
- Description:
- Includes geodatabase with statewide address points, street centerlines, parcels, and county boundaries for Indiana, 2021. Also includes zipped geodatabases for individual counties, state geocoder, and real property geodatabase. See inventory and metadata files for more information.
- Keyword:
- Indiana, GIS, and Spatial Data
- Citation to related publication:
- Title:
- 2021 Indiana Statewide Geospatial Data Harvest
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- Creator:
- Indiana Geographic Information Office
- Description:
- Includes geodatabase with statewide address points, street centerlines, parcels, and county boundaries for Indiana, 2020. Also includes zipped shapefiles for individual counties, state geocoder, and real property geodatabase. See inventory file for full description of geodatabase layers, and metadata file for more information.
- Keyword:
- Indiana, GIS, and Spatial Data
- Citation to related publication:
- https://dataharvest.gio.in.gov/
- Title:
- 2020 Indiana Statewide Geospatial Data Harvest
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Archive of Indiana Statewide Geospatial Data
User Collection
- Creator:
- Quill, Theresa M
- Description:
- This collection contains yearly deposits of data from Indiana's Data Harvest - consisting of vector GIS layers for the state of Indiana as gathered and cleaned by the Indiana Geographic Information Office
- Keyword:
- GIS, Spatial Data, and Indiana Infrastructure
- Discipline:
- General Information Sources
4Works -
- Creator:
- Laughlin, Patrick M
- Description:
- Spectroscopy data were collected on a BioTek Synergy H1 plate reader, then exported to and analyzed in Excel. 3D charts used in the manuscript were generated with OriginPro. Microscopy images are in proprietary .nd2 format of Nikon Elements software. .nd2 files were opened and processed with ImageJ. Gels were imaged on a BioRad Chemidoc.
- Keyword:
- SARS-CoV-2, Nucleocapsid, N-Protein, Liquid-liquid phase separation, Coronavirus, and Virus Assembly
- Citation to related publication:
- Laughlin, P. M.; Young, K.; Gonzalez-Guiterrez, G.; Wang, J. C.-Y.,; Zlotnick, A. A narrow ratio of nucleic acid to SARS-CoV-2 N-protein enables phase separation. 2024.
- Title:
- Raw data for "A narrow ratio of nucleic acid to SARS-CoV-2 N-protein enables phase separation"
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- Creator:
- Dekydtspotter, Laurent, Miller, A. Kate, Meinert, Kent , Cha, Jih-ho, Ah, Jae-Hyun , Swanson, Kyle , and Xiong. Yanyu
- Description:
- This study addresses a debate on the nature of gamma (>30Hz) oscillations in language generation and structuring from a top-down vs. bottom-up chunking approach. Working within the framework of recent oscillatory models for syntax, we argue that a time-frequency analysis of electroencephalography at crucial points of recursions in bi-clausal wh-movement is probative of the role of gramma oscillations in the creation of referential dependencies nested into wh-dependencies, accounting for aspects of the expressive power of language. The study proposes that gamma oscillations in frontotemporal circuitry create syntax-semantics objects in contrast with slow-rhythm entrainment of gamma oscillations tracking semantic fitness in bottom-up chunking. We show gamma power effects associated with aspects of anaphoric relations established in syntax vs. discourse during the processing of bi-clausal filler-gap dependencies. Despite equal semantic fitness across conditions for noun phrase modifiers (Mods) and noun complements (Comps), Mod-Comp modulations of ERPDs linked to anaphoric relations with early vs. late antecedents arose in referential processing aligned with gap positions, suggesting the gamma-based implementation of referential relations is induced by the re-representations of pronouns in complex filler-gap dependencies.
- Keyword:
- processing, dependency, anaphora, time-frequency, language architecture, EEG
- Citation to related publication:
- Title:
- Cortical 𝛾-Oscillations Implement Basic Language Operations: Evidence from Electroencephalography in Anaphora During English Filler-gap Dependency Processing