Journal: Membranes

Article Title: Impact of the Membrane Structure of the Stationary Phase on Steric Exclusion Chromatography (SXC) of Lentiviral Vectors

doi: 10.3390/membranes13100849

Figure Lengend Snippet: ( A ) Direct comparison of different stationary phases (Hydrosart I membranes and Whatman membranes) on infectious recovery for different PEG concentrations. The color coding indicates the relative PEG concentration; the exact PEG concentration is indicated below the x -axis. ( B ) Comparison of SXC performance with 5 or 10 layers of Whatman membranes. Analytical parameters were statistically compared between the two tested membrane stacks using a paired t -test of two different samples ( p ≥ 0.05) with no significant differences found. N = 3, mean ± standard deviation.

Article Snippet: The statistical significance of between-group differences was evaluated using an unpaired Student’s t -test (two-tailed) with OriginPro ® Version 2021 (OriginLab).

Techniques: Comparison, Concentration Assay, Membrane, Standard Deviation

Journal: Viruses

Article Title: Sequence Length of HIV-1 Subtype B Increases over Time: Analysis of a Cohort of Patients with Hemophilia over 30 Years

doi: 10.3390/v13050806

Figure Lengend Snippet: The full-length (FL) sequence length increases over time and the sequence identity decreases over time in KSB-infected patients. ( A – C ): Sequence identity and FL sequences according to the interval since the outbreak in January 1990 in 20 HPs. ( A ) Correlation between the intervals from the outbreak to sampling and the sequence identity of each earliest FL sequence before cART in the 20 patients with hemophilia, compared with the corresponding earliest sequence of the plasma donors. ( B ) The correlation coefficient (CC), γ, was 0.77 for the 39 FLs before cART ( P < 0.001). ( C ) The CC, γ, was −0.17 upon cART. ( D – F ), Significant increase in the FL sequence length by sampling year before cART, in patients with hemophilia ( D ), 42 KSB-infected local controls ( n = 60) ( E ), and all the 62 KSB-infected patients ( F ).

Article Snippet: Statistical significance was determined using Student’s two-tailed t -tests, paired t -test, chi-square tests, Fisher’s exact test, and Pearson’s correlation coefficient using MedCalc.

Techniques: Sequencing, Infection, Sampling, Clinical Proteomics

Journal: Viruses

Article Title: Sequence Length of HIV-1 Subtype B Increases over Time: Analysis of a Cohort of Patients with Hemophilia over 30 Years

doi: 10.3390/v13050806

Figure Lengend Snippet: The length of FLs increased over time in 3 long-term nonprogressors (LTNPs), whereas it decreased in subtype D-infected patients. The correlation coefficient between the sequence length and the duration of infection was significant in 3 LTNPs over 25 years (up to 294, 307, and 286 months). Patients infected with CRF02_AG ( A ), KSB ( B ), and subtype B ( C ) were diagnosed with HIV-1 infection in 1988, 1992, and 1987, respectively. Interestingly, the sequence length in patients infected with subtype B significantly decreased from 8697 ± 26 ( n = 6), just before 286 months (March 2011), to 8623 ± 24 ( n = 6; marked as black stars), after 286 months, when the plasma RNA copy number significantly increased ( p < 0.001) . The sequence length significantly decreased after 307 months. In contrast, it was inversely significant in patient 93-01, who was diagnosed in December 1992 ( D ). The first sexual contact and diagnosis of pulmonary tuberculosis of the patient were observed in 1988 and 1989, respectively. He was treated with Korean Red Ginseng (12,720 g) from April 1993 to August 2004 . Thus, despite the most rapidly progressing subtype D infection, he remained healthy for at least 12 years . The correlation analysis did not include the data marked as stars and as a white circle on cART.

Article Snippet: Statistical significance was determined using Student’s two-tailed t -tests, paired t -test, chi-square tests, Fisher’s exact test, and Pearson’s correlation coefficient using MedCalc.

Techniques: Infection, Sequencing, Clinical Proteomics, Biomarker Discovery