622 research outputs found
Henkilöstöasiat
Table S7. qPCR primers used for validation of the microarray data. (XLS 37Ă‚Â kb
Utjecaj mangana na sinaptiÄŤku transmisiju
In the course of our investigations of the influence of metal ions on synaptic transmission and acetilcholine output, we have noticed that manganese ions cause a block of ganglionic transmission when added to the fluid perfusing the superior cervical ganglion.Dodatak mangana tekućini, kojom se vrši perfuzija izoliranog gornjeg vratnog simpatičnog ganglija mačke, izaziva smanjenje kontrakcija membrane niktitans na stimulaciju predganglijskih vlakana vratnog simpatikusa. Stimulacija postganglijskih vlakana izaziva normalne kontrakcije membrane usprkos prisutnosti manganovih iona. Kalcijevi ioni imaju antagonističke djelovanje na blokadu sinaptičke transmisije izazvanu dodatkom manganovih iona. Mangan izaziva sinaptičku blokadu u koncentraciji od 100 mikrograma na 1 ml
Novel Omicron Variants Enhance Anchored Recognition of TMEM106B: A New Pathway for SARS-CoV‑2 Cellular Invasion
The recent discovery that TMEM106B serves as a receptor
mediating
ACE2-independent SARS-CoV-2 entry into cells deserves attention, especially
in the background of the frequent emergence of mutant strains. Here,
the structure–dynamic features of this novel pathway are dissected
deeply. Our investigation revealed that the large loop (RBD@471–491)
could anchor TMEM106B, which was then firmly locked by another loop
(RBD@444–451). The novel and widely disseminated Omicron variants
(BA.2.86/EG.5.1) affect the anchoring recognition of proteins, with
BA.2.86 being more likely to impact cells with limited or undetectable
ACE2 expression. The large loop of the EG.5.1 variant captures TMEM106B
poorly due to impaired electrostatic complementarity. Furthermore,
we emphasize that antibody design against these two loops could enhance
the protection of ACE2 low-expressing cells according to the alanine
scanning mutagenesis of multiple antibodies. We hope this study will
provide a novel perspective for the prevention and treatment against
this new viral invasion pathway
Quantitative analysis of correlation between AT and GC biases among bacterial genomes - Fig 4
<p><b>(A) Mean values of GC contents of genomes in each phylum. (B) Average percentages of genes in the leading strand grouped by genomes with the positive and negative ZCC indexes in each phylum.</b> In the histogram (A), mean values of GC content in N-ZCC phyla are entirely larger than those in P-ZCC phyla. The histogram (B) shows that genes are preferred to located in leading strands. Besides, the degree of strand-biased gene distribution (SGD) is generally stronger among genomes with positive ZCC indexes than those with negative ZCC indexes.</p
Summary information of ZCC indexes in different phyla.
<p>Summary information of ZCC indexes in different phyla.</p
The Z-curve disparity figures.
<p>Among different genomes, GC disparity curves always show inverted-V curves, while the shapes of AT disparity curves vary from phyla, ZCC index signs and numerical values.</p
Genome distributions to DE and PC groups in different phyla.
<p>Genome distributions to DE and PC groups in different phyla.</p
Ori-Finder: A web-based system for finding s in unannotated bacterial genomes-0
Egrated plot as a PNG figure for the original sequence and (C) the integrated plot as a PNG figure for the rotated sequence, displaying the obtained results, such as general genome information, four disparity curves, distribution of DnaA boxes, locations of putative indicator genes and the predicted region. Note that the coordinate origin of the rotated sequence begins and ends in the maximum of the GC disparity curve.<p><b>Copyright information:</b></p><p>Taken from "Ori-Finder: A web-based system for finding s in unannotated bacterial genomes"</p><p>http://www.biomedcentral.com/1471-2105/9/79</p><p>BMC Bioinformatics 2008;9():79-79.</p><p>Published online 1 Feb 2008</p><p>PMCID:PMC2275245.</p><p></p
Essential enzymes are associated with more gene ontology domains.
<p>Based on gene ontology, genes can be assigned 3 GO domains, molecular function, biological process and cellular component, which are independent of each other. (A) Essential enzymes have higher proportion of 3-GO-domain and lower proportion of 1&2-GO-domain containing genes. (B) Percentages of 1&2-GO-domain and (C) 3-GO-domain containing genes in essential and non-essential enzymes.</p
The data of essential genes used in the current study.
a<p>Note that for the genome of NC_000913, ten essential genes without GI numbers and two essential genes with dead GI numbers (16129191 and 16130842) were excluded.</p>b<p>Note that for the genome of NC_000915, one essential gene with dead GI number (15644641) was excluded.</p>c<p>Note that for the genome of NC_000908, two essential genes without GI numbers and one essential gene with dead GI number (13277519) were excluded.</p
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