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Following integration and clustering of the scRNA-seq data (Supplementary Fig. 1a), cells were classified using five reference datasets (Fig. 1c). This yielded seven major cell types, comprised of various types of immune cells: T-cells, NK-cells, B-cells, myeloid cells, and plasmacytoid ...
Ultracompact and soft pairwise grippers, capable of swift large-amplitude multi-dimensional maneuvering, are widely needed for high-precision manipulation, assembly and treatment of microscale objects. In this work, we demonstrate the simplest construction of such robotic structures, shaped via a single...
Additionally, data is wrapped in a concurrency::array_view exposing it in a multi-dimensional way. For data with Rank=1, however, programmers are accustomed to specifying size & index using integer values (e.g. when using std::vector). This blog will look at some ways in which C++ AM...
Single-cell RNA sequencing allows us to model cellular state dynamics and fate decisions using expression similarity or RNA velocity to reconstruct state-change trajectories; however, trajectory inference does not incorporate valuable time point informat
Single-stage part (MS1 map) of the LC-MS(/MS) contains quantitative information on all compounds that can be detected by LC-MS(/MS) and is the data of choice used by quantitative LC-MS(/MS) data pre-processing workflows. Differences in experimental conditions and fluctuation of analytical ...
To distinguish between slightly modified polymers, SCNPs and multi-chain clusters, a careful choice of characterization methods is required. In view of future applications, exclusive single-chain systems are not always essential. Even more so, small multi-chain nanoparticles may also offer advantages,...
Cells were washed in TBS, counted, and re-suspended in TBS at a concentration of 1 million cells per milliliter for immediate processing. Massively parallel single-cell RNA-Seq We used a previously reported, automated microwell array-based platform for pooled scRNA-Seq library construction and ...
array due to the presence of single nucleotide polymorphisms (SNPs) or small insertion/deletions (InDels). Using this approach, thousands of genes can be queried and simultaneously analyzed allowing whole genome approaches to mapping genes and quantitative trait loci (QTL) discovery [6], as well ...
To guarantee a unique spatial address for every cell in the scRNA-seq query dataset, we created a paired scRNA-seq atlas from the cells underlying each pseudo-bulk ST array. Finally, to emulate technical and platform-specific variation between scRNA-seq and ST datasets, we added noise in ...