Mendeley Data Showcase

Targeted protein degradation (TPD) destroys proteins of interest (POIs) by hijacking the cellular proteolytic machinery. Most proteins in cells exist and function as part of multi-protein or macromolecular complexes, thereby allowing a single protein to control multiple biological processes. Therefore, when a small molecule degrader induces proximity between an E3 ligase and the POI, the macromolecular context of the POI potentially influences the degradation outcomes of the POI and of the complex components. Here, we explore degradation of the eight CK1α-SACK1 (formerly known as FAM83A-H) complexes initiated by molecular glue degraders primarily designed to target Ser/Thr kinase CK1α. We demonstrate that lenalidomide-derived degraders DEG-77 and SJ3149, which selectively target the CK1α isoform, co-degrade multiple SACK1 proteins. We show that the degradation of SACK1 proteins by DEG-77 and SJ3149 requires CK1α, the CUL4ACRBN E3 ligase complex and the proteasome. In cells derived from palmoplantar keratoderma patients harbouring the CK1α-binding deficient SACK1GR265P mutation, DEG-77 targets CK1α and mitotic SACK1D but not SACK1GR265P, highlighting the requirement for CK1α-SACK1 interaction to achieve co-degradation. Our study underscores the importance of POI context in TPD and reinforces the potential for selectively targeting specific protein complexes for degradation.

The quality of exogenous substrates have strong influences on the direction and magnitude of soil priming effect (PE). However, the synergistic regulation of PE by the molecular-structure complexity and carbon-to‑nitrogen (C:N) stoichiometric ratio of added substrates remains poorly understood, particularly regarding how the underlying mechanisms shift with changes in edaphic factors such as nutrient availability, microbial biomass, and enzyme activities.

This repository provides three-dimensional (3D) electrical resistivity model datasets for three major groundwater regions in Taiwan: the Choushui River Alluvial Fan (CRAF), the Pingtung Plain, and the Yilan Plain. The datasets characterize regional-scale subsurface resistivity structures and are intended to support interdisciplinary research involving subsurface characterization, including hydrogeology, engineering geology, environmental studies, geophysics, and Earth system science. The 3D resistivity models were constructed by integrating site-based one-dimensional (1D) resistivity profiles derived from transient electromagnetic (TEM), vertical electrical sounding (VES), and borehole resistivity (BR) surveys. To ensure consistency among heterogeneous data sources, all 1D profiles were processed using a unified workflow that included depth resampling at 1 m intervals, standardization to a maximum investigation depth of 200 m, and normalization of resistivity values to minimize systematic differences between survey methods. The processed profiles were subsequently spatially interpolated to generate volumetric resistivity distributions representing the subsurface structure of each study area. The repository structure and data formats are designed to facilitate straightforward reuse and extension across multiple research disciplines.

The data were used in an article that aimed to investigate the extent to which Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) predict the intensity of Social Customer Relationship Management (SCRM) usage. A quantitative study was conducted using a survey questionnaire (N = 121). The data were analyzed through Structural Equation Modeling using Partial Least Squares (PLS-SEM). The dataset contains the scores of each participant for each item corresponding to its respective construct. Data related to sociodemographic characteristics were not disclosed in order to preserve participant anonymity, in accordance with the ethical procedures adopted in the study. The study tested three hypotheses: H1(+): Higher levels of PEOU in micro and small enterprises (MSEs) are associated with higher levels of PU. H2(+): Higher levels of PEOU in MSEs are associated with greater use of SCRM processes. H3(+): Higher levels of PU in MSEs are associated with greater use of SCRM processes. The results indicate that PEOU positively influences SCRM usage and that greater use of SCRM is associated with superior performance in MSEs, highlighting its strategic value. However, limited managerial familiarity with these tools may constrain effective implementation.

This dataset provides nucleic acid sequence information derived from the leaf endomicrobiome of Garden Sage (Salvia officinalis L.). Microbial diversity is visualised using Krona charts, while the core endomicrobiome is illustrated through Sankey plot analysis. Note: R1/S1, R2/S2, and R3/S3 represent biological replicates/samples of leaf tissue collected from healthy Salvia officinalis plants.

Em síntese, os dados mostram que pessoas hipertensas em famílias quilombolas apresentam risco cardiovascular relevante, frequentemente associado a baixa adesão terapêutica e fatores socioeconômicos de vulnerabilidade. O estudo reforça a importância de intervenções integradas e equitativas, reconhecendo o contexto social e cultural dessas comunidades como elemento essencial para melhorar o controle da hipertensão e prevenir complicações cardiovasculares.

Data consisting of NBGQ participants (n=12) and their matched peers (n=12), with data from the BAT-scale and the DASS-21.

Our dataset comprises 500 RGB-D images, where the depth maps were generated using the AdelaiDepth (LeReS) framework. AdelaiDepth employs a relative depth learning strategy, focusing on encoding the ordinal relationships between pixels. It also applies scale and shift normalization to align the depth values, thereby mitigating depth-scale ambiguity. All images are resized to 512×512 pixels. The dataset contains nine classes: background, emergency escape ramp, escape ramp sign, road surface, emergency lane, guardrail, no parking sign, and person. Out of the total dataset, 450 images are allocated for training, while the remaining 50 are reserved for testing.

This dataset supports the research article titledClimatic Variability and Its Influence on the Indian Ocean Monsoon and on the NW Arabian Sea Oxygen Minimum Zone, which investigates the influence of abrupt climatic shifts, specifically Dansgaard–Oeschger (DO) events 11 to 9, on the Indian Ocean Monsoon system and the oxygen minimum zone (OMZ) in the northwestern Arabian Sea. The data were generated from 11 samples collected from Ocean Drilling Program (ODP) Site 721A and include: Total Organic Carbon (TOC) concentrations Carbon/Nitrogen (C/N) ratios Stable isotope compositions (δ¹³C_bulk, δ¹⁵N_bulk) of bulk sediments Relative abundances of planktonic foraminifera G. bulloides and G. ruber Shell-based stable isotope data (δ¹³C and δ¹⁸O) for G. ruber (partially available) Radiocarbon dates (AMS ¹⁴C) and calibrated age model information These proxies were used to reconstruct changes in productivity, OMZ intensity, and monsoonal variability during rapid climate transitions. The data are intended for reuse by the paleoclimate and oceanography research communities and may support future regional or global comparisons of monsoon–OMZ dynamics.

The replication package contains data, codes and instructions (ReadMe.pdf) to replicate all the results (tables and figures) presented in the main text, appendix and supplementary file of the article "Effects of Market Competition and Labour Flexibility on Technical Efficiency: Evidence from Indian Manufacturing Plants".