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Data and code associated with the publication: Dilated cardiomyopathy-associated skeletal muscle actin (ACTA1) mutation R256H disrupts actin structure and function and causes cardiomyocyte hypocontractility
No full textThis is the dataset affiliated with the publication titled “Dilated cardiomyopathy-associated skeletal muscle actin (ACTA1) mutation R256H disrupts actin structure and function and causes cardiomyocyte hypocontractility”
Data and code associated with the publication: Tuning N-Heterocyclic Carbene Wingtips to Form Electrochemically Stable Adlayers on Metals.
No full textSelf-assembled monolayers (SAMs) are employed in electrochemical biosensors to passivate and functionalize electrode surfaces. These monolayers prevent the occurrence of undesired electrochemical reactions and act as scaffolds for coupling bioaffinity reagents. Thiols are the most common adlayer used for this application; however, the thiol-gold bond is susceptible to competitive displacement by naturally occurring solvated thiols in biological fluids, as well as to desorption under continuous voltage interrogation. To overcome these issues, N-heterocyclic carbene (NHC) monolayers have been proposed as an alternative for electrochemical biosensor applications due to the strong carbon-gold bond. To maximize the effectiveness of NHCs for SAMs, a thorough understanding of both the steric effects of wingtip substituents and NHC precursor type to the passivation of electrode surfaces is required. In this study, five different NHC wingtips as well as two kinds of NHC precursors were evaluated. The best performing NHC adlayers can be cycled continuously for four days (over 30,000 voltammetric cycles) without appreciably desorbing from the electrode surface. Benchmark thiol monolayers, in contrast, rapidly desorb after only twelve hours. Investigations also show NHC adlayer formation on other biosensor-relevant electrodes such as platinum and palladium
Data associated with the publication: Limiting the broadcast range of a secreting cell during intercellular 2 signaling using protease-mediated degradation
No full textSynthetic biology is revolutionizing our approaches to biocomputing, diagnostics, and environmental monitoring through the use of designed genetic circuits that perform a function within a single cell. More complex functions can be performed by multiple cells that coordinate as they perform different subtasks. Cell−cell communication using molecular signals is particularly suited for aiding in this communication, but the number of molecules that can be used in different communication channels is limited. Here we investigate how proteases can limit the transmission range of communicating cells. We find that adding barrierpepsin to Saccharomyces cerevisiae cells in two dimensional multicellular networks that use α-factor signaling prevents cells beyond a specific radius from responding to α-factor signals. Such limiting of the broadcast range of cells could allow multiple cells to use the same signaling molecules to direct different communication processes and functions, provided that they are far enough from one another. These results suggest a means by which complex synthetic cellular networks using only a few signals for communication could be created by structuring a community of cells to create distinct broadcast environments
Data and code associated with the publication: Ranking magnetic colloid performance for magnetic particle imaging and magnetic particle hyperthermia
No full textThe datasets within correspond to the Advanced Functional Materials article titled “Ranking Magnetic Colloid Performance for Magnetic Particle Imaging and Magnetic Particle Hyperthermia”. In the article, we describe the development and in vivo validation of a ranking scheme by which to compare magnetic nanoparticles for image-guided hyperthermia therapy. The data are organized in terms of the corresponding Figure/Table number within the paper
PMA Côte d’Ivoire Phase 3 Service Delivery Point Survey (2022)
No full textPMA Côte d’Ivoire Phase 3 Service Delivery Point Survey includes 122 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural and region strata. The results are representative at the national level and within urban/rural strata. The final sample included 215 facilities which completed the interview. Data collection was conducted between September 2022 and November 2022. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/f0vf-qd73</a
PMA Burkina Faso Phase 4 Client Exit Interview Survey (2024)
No full textPMA Burkina Faso Phase 4 Client Exit Interview includes 167 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national level and in the urban/rural areas. Results from Centre region are representative of the urban environment only and results from the Hauts-Bassin region are representative of the region and the urban/rural areas. The final sample included 1,337 clients who completed the interview. The data was collected between December 2023 and February 2024. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268</a
PMA Niger Phase 1 Client Exit Interview Baseline Survey (2021)
No full textPMA Niger Phase 1 (NEP1) Client Exit Interview Baseline Survey includes 103 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural strata. The results representative at the national and regional level. The final sample included 684 clients which completed the interview. Data collection was conducted between December 2020 and April 2021. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268</a
PMA2020 Niger (Niamey) Round 5 Household & Female Survey (2018)
No full textFor the Niger (Niamey) Round 5 Household and Female (HQFQ) survey, a total of 33 enumeration areas (EAs) were selected using probability promotional to size, from a sampling frame provide by the Fourth General Census of Population and Housing, conducted by Niger’s National Statistics Institute in 2012. Structures, households, and service delivery points (SDPs) were enumerated in each selected EA. Thirty-five households were selected randomly from each EA. All eligible women, aged 15 to 49, in the sampled households were interviewed. Data collection occurred from June to August 2018. In Niamey, a total of 5,847 households and 1,296 women were interviewed. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32</a
PMA2020 Democratic Republic of Congo (Kinshasa, Kongo Central) Round 5 Service Delivery Point Survey (2016)
No full textDemocratic Republic of Congo (Kinshasa) Round 5 Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 58 enumeration areas (EAs) was drawn. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between September and October, 2016. The final completed sample was 171 SDPs.Democratic Republic of Congo (Kongo Central) Round 5 Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 52 enumeration areas (EAs) was drawn. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between September and October, 2016. The final completed sample was 102 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a
PMA2020 Kenya Round 7 Service Delivery Point Survey (2018)
No full textKenya Round 7 Service Delivery Point (SQ) survey used a multi-stage stratified cluster design with urban-rural and selected 11 counties as strata. A sample of 151 enumeration areas (EAs) was drawn by the Kenya National Bureau of Statistics from its master sampling frame. The sample included the two new counties, Kakamega and West Pokot, which were added in 2016, round 5. The same set of enumeration areas used from round 5 were selected, adjacent to the areas enumerated in the first four survey rounds. In each EA, households and private health facilities were listed and mapped, with 42 households randomly selected. The final sample included 419 health facilities. Data collection was conducted between November and December 2018. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a