The purpose of this research is to compare levels of unprenylated Rab proteins in CHM-/- iPSC-RPE cells with and without compactin. Compactin is a statin that inhibits prenyl synthesis and thereby reduces prenylation overall and has an unbiased inhibitory effect on all protein prenylation. So we expect that for Rabs that are already poorly prenylated at baseline in choroideremia RPE cells, compactin will have minimal effect. However, for Rabs that are efficiently prenylated at baseline, compactin should have a much greater effect. And then we used tandem mass tag spectrometry to compare the ratio of each unprenylated Rab in compactin-treated choroideremia cells vs untreated choroideremia cells. In the spreadsheet, "F8" refers to the CHM-/- iPSC-RPE cells and "WT" refers to the isogenic control iPSC-RPE cells. In the "Proteins only" tab, column M shows the ratio of each protein in "DMSO" (untreated) choroideremia cells compared to Compactin-treated choroideremia cells. Compactin-treated control cells are also included in other columns. Untreated control cells could not be used because prenylation is so efficient in these cells, there is almost no material available after doing the in vitro prenylation assay (i.e. almost no unprenylated proteins to biotinylate).
The column descriptions can be found in the sheet titled "Explanations." In addition, AAs= number of amino acids in the protein, MW= molecular weight of the protein, and pI= isoelectric point.
The software is set to report abundance values only when certain criteria are met (S/N of 6, unique peptide etc). A value is NOT reported when the data for a protein fall below these criteria and the cell is instead left blank.
Raeker, M.O., Perera, N.D., Karoukis, A.J., Chen, L., Feathers, K.L., Ali, R.R., Thompson, D.A., Fahim, A.T. Reduced retinal pigment epithelial autophagy due to loss of Rab12 prenylation in a human iPSC-RPE model of choroideremia. Cells, manuscript accepted, in press.
The study aims to describe how children worldwide progress through a sequence of theory of mind understandings in their development of insights into persons and minds. The focus is on the studies using Wellman and Liu's (2004) Theory of Mind Scale. A comprehensive search was run in PsycINFO, PsycArticles, Child Development & Adolescent Studies, Education Abstracts, Family & Society Studies Worldwide, and Social Sciences Abstracts. The dataset includes 91 studies using Wellman and Liu's (2004) Theory of Mind Scale.
The four specimens (GSI SR/YS/1, GSI SR/YS/2, GSI SR/YS/3, and GSI SR/YS/4) are identified as tail clubs that are attributed to the basal sauropod Kotasaurus yamanpalliensis. The specimens were collected by the Geological Survey of India Southern Region (GSI SR) and, in 2018, the specimens were studied as a collaboration between GSI SR and the University of Michigan Museum of Paleontology. The specimens are housed in the collections of the GSI SR (Hyderabad, India).
Kareem, T. A., S. Chakraborty, and J. A. Wilson Mantilla. (in prep.) Sauropod tail clubs from the Kota Formation (Early to Middle Jurassic) of India and their implications for early sauropod evolution. Journal of Vertebrate Paleontology
The matlab code, digital elevation data, and landslide volume data here support the findings of Medwedeff et al. (2024) in JGR: Earth Surface. In this article, we study past landslides to understand how the strength of rocks and soil vary across the landscape and below the ground. We develop a matlab-based model that uses the length, width, slope angle, and thickness of landslides that have occurred in the past to estimate how strong the rock or soil was before it gave way. We improve upon previous studies by using elevation data from before and after landslides occurred to measure how thick the sliding mass was for each landslide. The thickness measurements help us understand how the strength of the ground changes as a function of depth below the surface, like for example, when rocks get weaker near the surface due to increased weathering. We apply our model to landslides that occurred during earthquakes in Greece and Nepal, and we compare the results to rock strength field data. In addition to our model code, we include in this data repository the landslide volume and elevation data for Nepal and Greece that we used to run our model for this study.
Medwedeff, W.G., Clark, M.K., Zekkos, D. (in review 2024) Regional Back-Analysis of Earthquake Triggered Landslide Inventories: a 2D Method for Estimating Rock Strength from Remote Sensing Data. In review in JGR Earth Surface.
The research that produced this data tested how sleep loss impacted the phenomena of reactivation and replay, which occurs when recently-learned information is reactivated/replayed during post-learning sleep/rest.
This collection contains estimates of the water balance of the Laurentian Great Lakes that were produced by the Large Lakes Statistical Water Balance Model (L2SWBM). Each data set has a different configuration and was used as the supplementary for a published peer-reviewed article (see "Citations to related material" section in the metadata of individual data sets). The key variables that were estimated by the L2SWBM are (1) over-lake precipitation, (2) over-lake evaporation, (3) lateral runoff, (4) connecting-channel outflows, (5) diversions, and (6) predictive changes in lake storage. and Contact: Andrew Gronewold
Office: 4040 Dana
Phone: (734) 764-6286
Email: drewgron@umich.edu
Smith, J. P., & Gronewold, A. D. (2017). Development and analysis of a Bayesian water balance model for large lake systems. arXiv preprint arXiv:1710.10161., Gronewold, A. D., Smith, J. P., Read, L., & Crooks, J. L. (2020). Reconciling the water balance of large lake systems. Advances in Water Resources, 103505., and Do, H.X., Smith, J., Fry, L.M., and Gronewold, A.D., Seventy-year long record of monthly water balance estimates for Earth’s largest lake system (under revision)
Professor Revzen and his team at the Biologically Inspired Robotics and Dynamical Systems (BIRDS) Lab are working on discovering, modeling, and reproducing the strategies animals use when interacting with physical objects. This work consists of collaboration with biomechanists to analyze experimental data, developing new mathematical tools for modeling and estimation of model parameters, and construction of robots which employ the new principles.