第16回千葉カルシウム代謝研究会

Gene ontology term enrichments for RNA-Seq data from differentiated TSC2 deletion cell lines and microarray data of patient SEGAs (related to Fig. 2f). (XLSX 27.7 kb

Mass Spectra and Yields of Intact Charged Biomolecules Ejected by Massive Cluster Impact for Bioimaging in a Time-of-Flight Secondary Ion Microscope

Impacts of massive, highly charged glycerol clusters (≳10⁶ Da, ≳ ± 100 charges) have been used to eject intact charged molecules of peptides, lipids, and small proteins from pure solid samples, enabling imaging using these ion species in a time-of-flight secondary ion microscope with few-micrometer spatial resolution. Here, we report mass spectra and useful ion yields (ratio of intact charged molecules detected to molecules sputtered) for several molecular species–two peptides, bradykinin and angiotensin II; two lipids, phosphatidylcholine and sphingomyelin; Irganox 1010 (a detergent); insulin; and rhodamine B–and show that useful ion yields are high enough to enable bioimaging of peptides and lipids in biological samples with few-micrometer resolution and acceptable signals. For example, several hundred molecular ion counts should be detectable from a 3 × 3 μm² area of a pure lipid bilayer given appropriate instrumentation or tens of counts from a minor constituent of such a layer

Additional file 8: Table S5. of Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

Gene set enrichment analysis of ribosome profiling data (related to Fig. 3d). (XLSX 11.1 kb

Additional file 10: Table S7. of Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

RNA-Seq and ribosome profiling data of differentiated TSC2 wild-type and homozygous deletion cell lines treated with mTOR inhibitors (related to Fig. 4). (XLSB 7.52 mb

Additional file 11: Table S8. of Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

Gene sets and associated genes that show after mTOR treatment a reversal of the change in expression detected in untreated TSC2 deletion cells (related to Fig. 4b). (XLSX 25.8 kb

Additional file 9: Table S6. of Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

Gene ontology term enrichments for ribosome profiling data (related to Fig. 3f). (XLSX 11 kb

Additional file 2: Figure S2. of Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

Loss of TSC2 triggers expression changes related to inflammatory response, metabolism, and neuronal function. (PDF 1.15 mb

Additional file 1: Figure S1. of Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

Deregulated expression of neuronal and glial markers in the absence of TSC2. (PDF 2.73 mb

Electrical Programming of Soft Matter: Using Temporally Varying Electrical Inputs To Spatially Control Self Assembly

The growing importance of hydrogels in translational medicine has stimulated the development of top-down fabrication methods, yet often these methods lack the capabilities to generate the complex matrix architectures observed in biology. Here we show that temporally varying electrical signals can cue a self-assembling polysaccharide to controllably form a hydrogel with complex internal patterns. Evidence from theory and experiment indicate that internal structure emerges through a subtle interplay between the electrical current that triggers self-assembly and the electrical potential (or electric field) that recruits and appears to orient the polysaccharide chains at the growing gel front. These studies demonstrate that short sequences (minutes) of low-power (∼1 V) electrical inputs can provide the program to guide self-assembly that yields hydrogels with stable, complex, and spatially varying structure and properties