DataSheet1_Visible-light-mediated sulfonylation of anilines with sulfonyl fluorides.PDF

Sulfonylaniline motif plays an important role in pharmaceutical sciences. Developed methods towards this structure are typically lack of good modifiability and stability. In this study, visible-light-mediated sulfonylation of aniline using sulfonyl fluoride as a modifiable and stable sulfonylation reagent is described. A variety of substituted sulfonylanilines were synthesized under mild reaction conditions with moderate to good efficiency. The example of late-stage sulfonylation highlighted the advantage of using sulfonyl fluoride as a sulfonylation reagent. In addition, the crucial influence of counterions on the photocatalyst observed in this system would inspire further research on the photochemistry of sulfonyl fluoride.</p

Integrated Transcriptomic and Metabolomic Analyses Reveal the Molecular and Metabolic Basis of Flavonoids in Areca catechu L.

Areca catechu L., of the Arecaceae family, is widely distributed in tropical Asia. In A. catechu, the extracts and compounds, including flavonoids, have various pharmacological activities. Although there are many studies of flavonoids, the molecular mechanism of their biosynthesis and regulation remains unclear in A. catechu. In this study, 331 metabolites were identified from the root, stem, and leaf of A. catechu using untargeted metabolomics, including 107 flavonoids, 71 lipids, 44 amino acids and derivatives, and 33 alkaloids. The transcriptome analysis identified 6119 differentially expressed genes, and some were enriched in the flavonoid pathway. To analyze the biosynthetic mechanism of the metabolic differences in A. catechu tissues, 36 genes were identified through combined transcriptomic and metabolomic analysis, in which glycosyltransferase genes Acat_15g017010 and Acat_16g013670 were annotated as being involved in the glycosylation of kaempferol and chrysin by their expression and in vitro activities. Flavonoid biosynthesis could be regulated by the transcription factors, AcMYB5 and AcMYB194. This study laid a foundation for further research on the flavonoid biosynthetic pathway of A. catechu

The standard and the MOLT-4/CCR5 viral outgrowth assays yield comparable frequencies of latent infection.

<p>(<b>A</b>) The frequency of latently infected resting CD4⁺ T cells was measured in 3 viremic patients and 14 HAART-suppressed patients using both the standard and the MOLT-4/CCR5 viral outgrowth assays, with HIV-1 p24 antigen ELISA used as the endpoint assay of viral outgrowth at day 14. (<b>B</b>) Statistical comparison of the IUPM values measured using the standard viral outgrowth assay and the MOLT-4/CCR5 viral outgrowth assay by Wilcoxon rank sum test. (<b>C</b>) The correlation of IUPM values measured using the standard viral outgrowth assay and the MOLT-4/CCR5 viral outgrowth assay (Pearson's correlation coefficient, r).</p

Integrated Transcriptomic and Metabolomic Analyses Reveal the Molecular and Metabolic Basis of Flavonoids in Areca catechu L.

Areca catechu L., of the Arecaceae family, is widely distributed in tropical Asia. In A. catechu, the extracts and compounds, including flavonoids, have various pharmacological activities. Although there are many studies of flavonoids, the molecular mechanism of their biosynthesis and regulation remains unclear in A. catechu. In this study, 331 metabolites were identified from the root, stem, and leaf of A. catechu using untargeted metabolomics, including 107 flavonoids, 71 lipids, 44 amino acids and derivatives, and 33 alkaloids. The transcriptome analysis identified 6119 differentially expressed genes, and some were enriched in the flavonoid pathway. To analyze the biosynthetic mechanism of the metabolic differences in A. catechu tissues, 36 genes were identified through combined transcriptomic and metabolomic analysis, in which glycosyltransferase genes Acat_15g017010 and Acat_16g013670 were annotated as being involved in the glycosylation of kaempferol and chrysin by their expression and in vitro activities. Flavonoid biosynthesis could be regulated by the transcription factors, AcMYB5 and AcMYB194. This study laid a foundation for further research on the flavonoid biosynthetic pathway of A. catechu

Gel electrophoresis of inner PCR products from nFGS methods.

(A-D) Gels of PCR products resulting from outer and nested inner PCR amplification of the intact provirus NL4-3 using Method 2. After the initial 9 kb outer PCR, 4 aliquots were taken from each well and amplified with the 4 inner nested PCRs (A-D, see S1 Table). After this PCR, 45 μl aliquots from each well were run on agarose gels. Figure shows gels for each of the subgenomic inners PCRs for the top half of a representative 96 well plate (wells A1-D12). Bands in the expected range of 4–7 kb (see S1 Table) were observed for wells in which the outer PCR was successful. (E-F) Amplicons generated from intact proviral templates using the outer and 9 kb nested inner PCRs of Method 4 and Method 6, respectively. The expected 9 kb bands were observed in some wells with Method 4, but rarely for Method 6. (G-H) Amplicons generated from a proviral construct with a deletion encompassing 70% of the genome using Method 4 and Method 6, respectively. Bands of the expected 2 kb size are observed for both methods. (DOCX)</p

Two-step bead depletion procedure yields highly purified resting CD4⁺ T cells from HIV-1 infected patients.

<p>A two-step negative selection strategy to purify resting CD4⁺ T cells from patient PBMC. (<b>A</b>) Representative FSC/SSC plot indicating live cell population after the two-step bead depletion procedure. (<b>B</b>) Representative dot plot indicating purity of resting CD4⁺ T cells. Purified cells were stained with antibodies to CD4 and HLA-DR.</p

Image1_Study on Proteomics-Based Aortic Dissection Molecular Markers Using iTRAQ Combined With Label Free Techniques.tif

Background: Aortic dissection refers to the separation of aortic media and extension along the long axis to form the true and false chambers of the aortic wall. 65–70% of the patients died of cardiac tamponade, arrhythmia, dissection rupture, etc. At present, echocardiography, computed tomography angiography (CTA), etc. are the main diagnosis tools for aortic dissection. To date, there is no rapid serum molecular marker that can be used for differential diagnosis and risk assessment.Objectives: To screen serum molecular markers systematically amid aortic dissection and acute coronary syndrome and to preliminarily identify the pathogenesis of acute aortic dissection.Methods: Related disputes cases of all hospitals were statistically analyzed for the AAD medical disputes ratio, early death ratio and misdiagnosis ratio from the database of Guangdong Province Medical Disputes Coordination Committee from 2013 to 2017. Serum and Aortic tissues samples were respectively quantified by iTRAQ and label-free analysis, further validated by ELISA and protein verified by immunofluorescence and Western blot from AAD and control patients enrolled from the Zhujiang Hospital of Southern Medical University and Guangdong Province people's Hospital from 2016 to 2018.Results: AAD cases ratio accounted for 15.29% in all 150 cardiovascular disputes, 59.26% in all cardiovascular death less than 24 h, and 88.89% in the patients who remained undiagnosed at the time of death, 84 proteins (66 and 18 upregulated and downregulated, respectively) were identified by iTRAQ and 16 proteins (9 and 7 upregulated and downregulated, respectively) by Label-free. Nine proteins (Lumican, FGL1, PI16, MMP9, FBN1, MMP2, VWF, MMRN1, and PF4) related to the pathogenesis of aortic dissection were identified by David /Ease and String techniques as candidate biomarkers for verification test. Four proteins (Lumican, FGL1, PI16, and MMP9) were found to be statistically different after ELISA verification. The expression of FGL1, PI16, and MMP9 proteins was pathologically significantly increased except for Lumican. Histologically, TGF-β1, α-SMA, and Collagen1 were also significantly higher in the aortic group.Conclusion: Lumican, FGL1, PI16, and MMP9 may be potential biomarkers in AAD patients, and the Lumican-mediated TGF-β1 pathway is likely to be involved in the pathogenesis of aortic dissection.</p

PCR Primers.

(DOCX)</p

The standard and the MOLT-4/CCR5 viral outgrowth assays.

<p>The frequency of HIV-1 latent infection of resting CD4⁺ T cells can be measured using a viral outgrowth assay. PBMC are collected from HIV-1 infected individuals and resting CD4⁺ T cells (CD25⁻, CD69⁻, HLA-DR⁻) are purified. Resting T cells are plated in 5-fold serial dilutions in duplicate, such that the input number of patient cells ranges from 1,000,000 to 320 cells per well. To reverse latency in the cells that harbor a replication-competent HIV-1 provirus, patient cells are activated with PHA and a 10-fold excess of irradiated PBMC from healthy donors. The next day, target cells for HIV-1 infection are added to allow outgrowth of replication-competent HIV-1 released from infected cells in which latency has been reversed. In the standard viral outgrowth assay, CD4⁺ lymphoblasts from healthy donors are added on days 2 and 7 of the assay. In the MOLT-4/CCR5 viral outgrowth assay, MOLT-4/CCR5 cells are added on day 2 only. For the standard assay, HIV-1 p24 antigen ELISA is used to identify wells positive for HIV-1 outgrowth at 14 days. For the MOLT-4/CCR5 assay, RT-PCR is used to identify wells positive for outgrowth at 7 days. The frequency of latently infected cells can be determined using limiting dilution statistics based on the input number of patient cells in the wells positive for outgrowth. This frequency is reported in infectious units per million (IUPM).</p

Accurate measurement of IUPM at day 7 using HIV-1 specific RT-PCR.

<p>(<b>A</b>) Using the rapid MOLT-4/CCR5 viral outgrowth assay, the frequency of latently infected cells was measured for HAART patients S1–S14 and viremic patients V1–V3 at day 7 with the HIV-1 specific RT-PCR assay and at both days 7 and 14 with HIV-1 p24 antigen ELISA. Statistical significance of the differences in IUPM values was assessed by Wilcoxon rank sum test. (<b>B</b>) Correlation of the IUPM measured at day 7 using HIV-1 p24 antigen ELISA with the IUPM measured at day 14 using HIV-1 p24 antigen ELISA (Pearson's correlation coefficient, r). (<b>C</b>) Correlation of the IUPM measured at day 7 using HIV-1 specific RT-PCR with the IUPM measured at day 14 using HIV-1 p24 antigen ELISA (Pearson's correlation coefficient, r). (<b>D</b>) Correlation of the IUPM measured at day 7 using the rapid MOLT-4/CCR5 outgrowth assay with the IUPM measured at day 14 using the standard outgrowth assay (Pearson's correlation coefficient, r).</p