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- Creator:
- Ludlow, Andrew and Kim, Jeongjin
- Description:
- Part of the regulation of telomerase activity includes the alternative splicing (AS) of the catalytic subunit telomerase reverse transcriptase (TERT). Although a therapeutic window for telomerase/TERT inhibition exists between cancer cells and somatic cells, stem cells express TERT and rely on telomerase activity for physiological replacement of cells. Therefore, identifying differences in TERT regulation between stem cells and cancer cells is essential for developing telomerase inhibition-based cancer therapies that reduce damage to stem cells. In this study, we measured TERT splice variant expression and telomerase activity in induced pluripotent stem cells (iPSCs), neural progenitor cells (NPCs), and non-small cell lung cancer cells (NSCLC, Calu-6 cells). We observed that a NOVA1-PTBP1-PTBP2 axis regulates TERT alternative splicing (AS) in iPSCs and their differentiation into NPCs. We also found that splice-switching of TERT, which regulates telomerase activity, is induced by different cell densities in stem cells but not cancer cells. Lastly, we identified cell type-specific splicing factors that regulate TERT AS. Overall, our findings represent an important step forward in understanding the regulation of TERT AS in stem cells and cancer cells. These data and subsequent studies may reveal a splicing factor(s) or their binding site(s) that could be targeted with small molecule drugs or antisense oligonucleotides, respectively, to reduce telomerase activity in cancer cells and promote durable cancer remissions.
- Keyword:
- Telomere, telomerase, TERT, alternative RNA splicing
- Citation to related publication:
- Dynamics of TERT Regulation via Alternative Splicing in Stem Cells and Cancer Cells. Accepted in Plos One
- Discipline:
- Science
-
- Creator:
- Martin, Tara L, Young, LR, Goldsteen, D, Nunamaker, EA, Reynolds, P, Thompson-Iritani, S, Thurston, SE, and LaFollette, MR
- Description:
- This dataset contains the results of a survey of mouse handling methods by personnel working with laboratory mice. The survey included questions about preferred handling methods, barriers to use of refined handling methods, and a knowledge quiz about refined mouse handling. Data was collected via Qualtrics survey as described in the methodology section. This dataset is associated with the following publication, accepted by PLOS One: PONE-D-23-01633R1 Title: Using refined methods to pick up mice: A survey benchmarking prevalence & beliefs about tunnel and cup handling Authors: Lauren Young, Donna Goldsteen, Elizabeth A. Nunamaker, Mark J. Prescott, Penny Reynolds, Sally Thompson-Iritani, Sarah E. Thurston, Tara L. Martin, Megan R. LaFollette
- Keyword:
- Mouse, Refined Handling, Tunnel Handling, Cup Handling, Laboratory Animal, and Animal Care
- Citation to related publication:
- Young LR, Goldsteen D, Nunamaker EA, Prescott MJ, Reynolds P, Thompson-Iritani S, Thurston SE, Martin TL, LaFollette MR. Using refined methods to pick up mice: A survey benchmarking prevalence & beliefs about tunnel and cup handling. PLOS ONE. 2023. In Press.
- Discipline:
- Science
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- Creator:
- Matt, Cayenne, Gültekin, Kayhan, and Simon, Joseph
- Description:
- The data were used to create number density functions of supermassive black holes (SMBH) for redshifts 0.5 < z < 3.0. The goal of this research is to discern whether galaxy-black hole scaling relations produce black hole masses that are consistent with each other at high redshift. These number density functions were used to compare the high-mass SMBH distributions from each relation. In massive black hole binary based models, the highest-mass SMBHs have a significant influence on the gravitational wave background characteristic strain amplitude. To inform our understanding of the gravitational wave background, that pulsar timing arrays now show evidence for, we need to therefore have a solid foundation on the underlying SMBH population. In our paper we found that using different galaxy properties to inform our estimations of SMBH mass resulted in different distributions, especially at the high-mass end.
- Citation to related publication:
- https://iopscience.iop.org/article/10.1088/0067-0049/219/1/8, https://iopscience.iop.org/article/10.1088/0067-0049/196/1/11, https://iopscience.iop.org/article/10.1088/0004-637X/788/1/28, https://iopscience.iop.org/article/10.3847/1538-4357/ab7e27, and https://ui.adsabs.harvard.edu/abs/2023arXiv230704878M/abstract
- Discipline:
- Science
-
- Creator:
- Lojko, Alexander, Zhang, Yingxiao, Whitcomb, Morgan, Yang, Emily, Dacic, Natasha, and Holmes, Janelle
- Description:
- GIS (.lpkx) data layers that inform of areas to construct new rain gardens in Washtenaw County, Ann Arbor, Michigan. Data layers can be opened with a GIS program. There is a single .lpkx dataset that contains four layers. The first layer contains 'Wildlife Corridors' which contains information on where to prioritize new green infrastructure based on how well-connected different patches of forested areas are. The second layer, 'Social Inequality', shows where to prioritize new rain gardens based on social inequality criteria. The 'Creeksheds and Future Runoff' contains information on future changes in precipitation runoff based on climate change projections of rainfall. Lastly, 'Runoff/Water Quality' is a layer that includes a priority map regarding where new rain gardens should be developed based on areas that are most at risk of poor water quality and enhanced surface run-off. The project was completed for Washtenaw County Water Resources as part of a course taught at the University of Michigan, CLIMATE 592. A description of the course is also provided: "Introduction to individual and team research on real-world problems in the area of applied climate. On a research project started in CLIMATE 591 and guided by a mentor from a commercial or government laboratory, students will apply the principles of risk analysis and objective assessment of adaptive strategies".
- Keyword:
- GIS, Climate Change, Local, Community, and Graduate Student Project
- Citation to related publication:
- Dacic, N., Lojko, A., Zhang, Y., Yang, E., Whitcomb, M., Bassis, J., and Rood., R.B., 2023 'Modernizing the Climate Science Curriculum: Engaging in Local Government Collaboration Projects', In Preperation for the Bulletin of American Meteorological Society
- Discipline:
- Science
-
- Creator:
- Dewey, Ryan M, Livi, Stefano, Lepri, Susan T, Raines, Jim M, Ploof, Keeling, and The HIS Science Team
- Description:
- The data contained within the archive are for analysis and replication of Figure 2 in Livi et al. (2023), First Results from the Solar Orbiter Heavy Ion Sensor, Astronomy & Astrophysics. The readme.txt file contains more details on the contents of the archive and its files. Livi et al. (2023) reports the first solar wind composition measurements collected from the Heavy Ion Sensor (HIS) on the Solar Orbiter spacecraft. The period of study spans January-June 2022 during with the spacecraft completed nearly a full orbit about the Sun, from 0.3 AU to 1.0 AU. The solar wind composition within this publication are the first within the inner heliosphere. This paper describes the data and its processing from raw measurements (e.g., the data contained within this archive) to derived composition data products, and examines these composition data products about an interplanetary shock and interplanetary coronal mass ejection. Finally, these composition data are examined statistically and compared to historical data sets.
- Keyword:
- Solar Orbiter, Solar wind, Heavy ions, and Heavy Ion Sensor
- Citation to related publication:
- Livi, S., et al. (2023), First Results from the Solar Orbiter Heavy Ion Sensor, Astronomy & Astrophysics. https://doi.org/10.1051/0004-6361/202346304 and Owen, C., et al. (2020), The Solar Orbiter Solar Wind Analyser (SWA) suite, Astronomy & Astrophysics, 642. https://doi.org/10.1051/0004-6361/201937259
- Discipline:
- Science
-
- Creator:
- Thompson, Ellen P. and Ellis, Brian R.
- Description:
- Accurate prediction of physical alterations in carbonate reservoirs under dissolution is critical for development of subsurface energy technologies. The impact of mineral dissolution on flow characteristics depends on the connectivity and tortuosity of the pore network. Persistent homology is a tool from algebraic topology that describes the size and connectivity of topological features. When applied to 3D X-ray computed tomography (XCT) imagery of rock cores, it provides a novel metric of pore network heterogeneity. Prior works have demonstrated the efficacy of persistent homology in predicting flow properties in numerical simulations of flow through porous media. Its ability to combine size, spatial distribution, and connectivity information make it a promising tool for understanding reactive transport in complex pore networks, yet limited work has been done to apply persistence analysis to experimental studies on natural rocks. In this study, three limestone cores were imaged by XCT before and after acid-driven dissolution flow through experiments. Each XCT scan was analyzed using persistent homology. In all three rocks, permeability increase was driven by the growth of large, connected pore bodies. The two most homogenous samples saw an increased effect nearer to the flow inlet, suggesting emerging preferential flow paths as the reaction front progresses. The most heterogeneous sample showed an increase in along-core homogeneity during reaction. Variability of persistence showed moderate positive correlation with pore body size increase. Persistence heterogeneity analysis could be used to anticipate where greatest pore size evolution may occur in a reservoir targeted for subsurface development, improving confidence in project viability.
- Keyword:
- Carbonate dissolution, X-ray computed tomography, Porous media, Topology, and Persistent homology
- Citation to related publication:
- Thompson, E.P.; Ellis, B.R. (2023) Persistent Homology as a Heterogeneity Metric for Predicting Pore Size Change in Dissolving Carbonates. In Review.
- Discipline:
- Science and Engineering
-
- Creator:
- Butterfield, Zachary, Muccio, Daniel, and Keppel-Aleks, Gretchen
- Description:
- Solar-induced chlorophyll fluorescence (SIF) is an emission of photons during photosynthesis that can be used to make inferences about gross primary productivity (GPP) and carbon uptake of vegetation. With a recent proliferation of available satellite-based observations of SIF, there is much interest in assessing how SIF relates to GPP across multiple temporal and spatial scales. Tower-based observations of SIF at high temporal resolution provide a key link between satellite data and local surface-based observations of ecosystem productivity. We collected tower-based observations of SIF and several vegetation indices using a PhotoSpec spectrometer system deployed on the AmeriFlux tower at UMBS (US-UMB). As the data were collected alongside concurrent eddy flux observations of carbon exchange, they provide a unique opportunity to explore how SIF and other vegetation signals relate to GPP in a temperate deciduous forest and better inform the interpretation of satellite observations.
- Keyword:
- Solar-induced chlorophyll fluorescence, gross primary production, temperate deciduous forest, remote sensing, flux observations, forest productivity
- Citation to related publication:
- Butterfield, Z., Magney, T., Grossmann, K., Bohrer, G., Vogel, C., Barr, S., & Keppel-Aleks, G. (2023). Accounting for Changes in Radiation Improves the Ability of SIF to Track Water Stress-Induced Losses in Summer GPP in a Temperate Deciduous Forest. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007352. https://doi.org/10.1029/2022JG007352
- Discipline:
- Science
-
- Creator:
- Bellile, Emily L, Taylor, Jeremy MG, and Wolf, Gregory T
- Description:
- The University of Michigan’s Head and Neck Specialized Program of Research Excellence (SPORE) included an epidemiology project that approached every previously untreated adult head and neck squamous carcinoma (HNSCC) patient evaluated in the multidisciplinary Head and Neck Oncology Program of the University of Michigan (UM; Ann Arbor, MI) Comprehensive Cancer Center for participation in our longitudinal epidemiology study. This analytic dataset includes the most commonly requested covariates and outcome variables for survival analysis of this cohort of HNSCC patients. Data cleaning and creation of this analysis dataset was performed with SAS software v 9.3 (Carey,NC) by a biostatistician supporting multiple projects in the University of Michigan’s Head and Neck Specialized Program of Research Excellence (SPORE) and is available in RedCap for UM investigators to join with discipline specific data collected on the same cohort through a de-identified ID link.
- Keyword:
- Head and Neck Cancer, HNSCC, Squamous Cell Cancer, Epidemiology, Head and Neck Specialized Program of Research Excellence (SPORE). , Cancer, Prognosis, and Survival Analysis
- Citation to related publication:
- Cigarette use, comorbidities, and prognosis in a prospective head and neck squamous cell carcinoma population. Peterson LA, Bellile EL, Wolf GT, Virani S, Shuman AG, Taylor JM, Rozek LS; University of Michigan Head and Neck Specialized Program of Research Excellence Program. Head Neck. 2016 Dec;38(12):1810-1820. doi: 10.1002/hed.24515. Epub 2016 Jul 19. PMID: 27432208. , Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer. Beesley LJ, Shuman AG, Mierzwa ML, Bellile EL, Rosen BS, Casper KA, Ibrahim M, Dermody SM, Wolf GT, Chinn SB, Spector ME, Baatenburg de Jong RJ, Dronkers EAC, Taylor JMG. JAMA Netw Open. 2021 Aug 2;4(8):e2120055. doi: 10.1001/jamanetworkopen.2021.20055. PMID: 34369988., Amlani, L; Bellile, E; Spector, M; Smith, J; Brenner, C; Rozek, L; Nguyen, A; Zarins, K; Thomas, D; McHugh, J; Taylor, J; Wolf, GT. Expression of p53 and prognosis in patients with head and neck squamous cell carcinoma (HNSCC); Int J Cancer Clin Res 2019, 6:122. DOI: 10.23937/2378-3419/1410122., and Spector ME, Bellile E, Amlani L, Zarins K, Smith J, Brenner JC, Rozek L, Nguyen A, Thomas D, McHugh JB, Taylor JMG, Wolf GT; University of Michigan Head and Neck SPORE Program. Prognostic Value of Tumor-Infiltrating Lymphocytes in Head and Neck Squamous Cell Carcinoma. JAMA Otolaryngol Head Neck Surg. 2019 Nov 1;145(11):1012-1019. doi: 10.1001/jamaoto.2019.2427. PMID: 31486841; PMCID: PMC6735419.
- Discipline:
- Science and Health Sciences
-
- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for navicular of Cantius trigonodus (University of Michigan Museum of Paleontology catalog number UMMP 87973) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Paleontology, Fossil, CT, Notharctidae, UMMP, University of Michigan Museum of Paleontology, Eocene, and a537f0d8-6185-9562-9b9a-a233468bf8e1
- Discipline:
- Science
-
- Creator:
- Wu, Chen/ University of Michigan, Ridley, Aaron/ University of Michigan, and DeJong, Anna/ Howard Community College
- Description:
- 1.5 years of Polar UVI data was used to construct the Feature Tracking empirical model of Auroral Precipitation (FTA). A cumulative energy grid was tracked with the energy flux and the latitude position in each MLT bin for individual images. The auroral characteristics show linear relationships with the AE index depending on the MLT region. Thus, the FTA model was constructed to describe the global energy flux and the averaged energy as a function of the AE index based on the LBHl and LBHs emissions. Compared with two other empirical models, FTA predicted more consistent aurora with the observations on 17 March 2013 at higher activity levels.
- Keyword:
- Aurora, Polar UVI, precipitation model
- Citation to related publication:
- Wu, C., Ridley, A. J., DeJong, A. D., & Paxton, L. J. (2021). FTA: A Feature Tracking Empirical Model Of Auroral Precipitation. Space Weather, 19, e2020SW002629. https://doi.org/10.1029/2020SW002629
- Discipline:
- Science