7 research outputs found
Additional file 4: of RNA sequencing analysis reveals quiescent microglia isolation methods from postnatal mouse brains and limitations of BV2 cells
Fold changes and average expression level of all transcripts among various isolation methods. (XLSX 4831Â kb
Additional file 2: of RNA sequencing analysis reveals quiescent microglia isolation methods from postnatal mouse brains and limitations of BV2 cells
Sequencing depth of all the RNA-Seq samples. a Read count of all samples. b Mapping percentage of all samples. (TIF 447Â kb
Additional file 5: of RNA sequencing analysis reveals quiescent microglia isolation methods from postnatal mouse brains and limitations of BV2 cells
Fold changes and average expression level of all transcripts among all groups in LPS, Aβ, and aging studies. (XLSX 723 kb
Light Driving and Monitoring Growth of Single Gold Nanorods
Growth
processes of single gold nanorods (AuNRs) on a glass coverslip
surface were monitored in situ via photoluminescence and dark-field
scattering spectroscopy. We found that the growth of gold nanorod
(AuNR) was light driven and the growth rate was dependent on the excitation
light power and polarization. Specifically, the AuNRs can regrow to
a larger size upon intense light irradiation, even if the AuNRs have
reached an equilibrium state in original growth solution. Furthermore,
the resonance wavelength shift during the regrowth was found to be
reversible by switching on or off the light illumination. A plausible
explanation for such light driven phenomenon could be due to photothermal
effects, in which plasmon-induced hot electrons result in Au ions
being reduced more easily upon light illumination. These findings
suggest a flexible method to control AuNRs synthesis and contribute
understanding to plasmon-mediated metal nanoparticle synthesis at
the single nanoparticle level
Additional file 1: of RNA sequencing analysis reveals quiescent microglia isolation methods from postnatal mouse brains and limitations of BV2 cells
Characterization of isolated microglia. a Purity of isolated microglia from the three isolation methods. Purity was quantified by counting Iba1+ microglia in total cells, which were indicated by DAPI and immunocytochemical staining from at least five randomly selected fields. b Representative astrocyte images showing positive GFAP staining (Iba1+, green; GFAP+, red). DAPI indicates nuclei. Scale bar, 50Â Îźm. (TIF 856Â kb
Additional file 3: of RNA sequencing analysis reveals quiescent microglia isolation methods from postnatal mouse brains and limitations of BV2 cells
PCA plot on transcriptomes of all samples. (TIF 255Â kb
Data_Sheet_1_Single and combined associations of blood lead and essential metals with serum lipid profiles in community-dwelling adults.docx
BackgroundAlthough several studies have examined the relationships between lead (Pb) exposure and serum lipid profiles, the associations of the metal mixture, including lead (Pb) and essential metals with lipid profiles, remain unclear.ObjectiveTo investigate the associations of the metal mixture including Pb and essential metals [magnesium (Mg), manganese (Mn), copper (Cu), iron (Fe), zinc (Zn), and calcium (Ca)] with serum lipid profiles [total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)], as well as the potential interactions among the metals.MethodsNine hundred and ninety-eight Chinese community-dwelling adults completed a questionnaire and underwent checkups of anthropometric parameters, serum lipid profile levels (TC, TG, LDL-C, and HDL-C), and blood metal concentrations (Pb, Mg, Mn, Cu, Fe, Zn, and Ca). The multivariable linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were applied to evaluate the single and combined associations of blood Pb and essential metals with serum lipid profiles.ResultsIn the multivariable linear regression model, the blood Pb was positively associated with TC, LDL-C, and HDL-C (p ConclusionThe levels of blood Pb, together with the essential metals, especially Mg levels, are suggested to be considered when assessing dyslipidemia risk. However, more evidence is still needed to validate the conclusions.</p
