Journal: iScience

Article Title: Dietary fiber reduces mortality from secondary sepsis in a murine model of Clostridioides difficile infection

doi: 10.1016/j.isci.2026.115258

Figure Lengend Snippet: Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

Article Snippet: Soluble CD14 (sCD14) levels were quantified using the Quantikine Mouse sCD14 ELISA Kit (Catalog No. MC140, R&D Systems, Minneapolis, MN, USA) following the manufacturer’s instructions.

Techniques: Clinical Proteomics, Marker, Plasmid Preparation, Concentration Assay

Journal: iScience

Article Title: Dietary fiber reduces mortality from secondary sepsis in a murine model of Clostridioides difficile infection

doi: 10.1016/j.isci.2026.115258

Figure Lengend Snippet: Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

Article Snippet: Quantikine ELISA Mouse Immunoassay – sCD14 , RnD Systems , MC140.

Techniques: Clinical Proteomics, Marker, Plasmid Preparation, Concentration Assay

Journal: bioRxiv

Article Title: A targetable dependency on nonsense-mediated decay for proteostasis and immune control in small cell lung cancer

doi: 10.64898/2026.03.31.715503

Figure Lengend Snippet: A) DNA Sanger sequencing of the amplified B2M locus in representative H841 CRISPR/Cas9 WT and B2M-KO clones aligned to the reference sequence (NCBI, NG_012920.2) with sgRNA and the identified insertion mutation in H841 B2M-KO cells highlighted. B-D) Pharmacological NMD inhibition with either KVS0001 or SMG1i-11j compounds in healthy PBMC donors upon T cell artificial activation. ( B ) Proportion of viable CD45+ cells (left) and T cells (right) within PBMC populations after 4 days treatment with a T cell artificial activation cocktail (Act = CD3+CD28+IL-2) vs unstimulated conditions (Naive). ( C ) Proliferation of CD4+ (left) and CD8+ (right) T cells derived from T cell counts expressed as fold change (FC) for activated (Act) conditions relative to the unstimulated (Naive) control. ( D ) Proportion of T cells (CD3+), B cells (CD19+), NK cells (CD56+) and Myeloid cells (CD11b+) within PBMC populations (CD45+) from healthy donors directly after thawing (d-1), at the beginning of stimulation (CD3+CD28+IL-2) (d0) 4 days post-stimulation (d4). Graphs represent mean + SEM (n = 7). ***P<0,001; **P<0.01; *P<0.05; ns=non-significant (One-way ANOVA). E) Representative flow cytometry dot plots for the staining of CD45 vs CD56 (for NK cells) and CD8 vs CD4 (both for T cells) following 4 days co-culture of healthy donor PBMCs with WT H841 tumor cells. F) In vivo tumor growth in immunocompetent C57BL/6J mice transplanted with murine RP1380 TetO-shCTRL fed with normal or doxycycline-containing diet (n ≥ 4). G) Flow cytometry immunophenotyping of RP1380 TetO-shCTRL tumors harvested at the end of experiments shown in panel F (n ≥ 4). H-I) MHC-I surface expression quantified by flow cytometry in the indicated human and murine cell lines following genetic NMD inhibition via siRNA-mediated SMG1-KD and UPF1-KD ( H ) or doxycycline-inducible SMG1-KD ( I ). J) In vivo assessment of MHC-I (H2-Kb) surface expression in control vs NMD-inhibited murine RP1380 TetO-shSMG1 tumors (following doxycycline diet, DOXY) grown subcutaneously in C57BL/6 mice. K) Flow cytometry data for murine RP1380 TetO-shSMG1 allograft models grown in C57BL/6 mice significantly correlating tumor-specific H2-Kb surface expression with levels of immune cell infiltration (CD45+ infiltration). L) In vivo levels of tumor-specific MHC-I (H2-Kb) surface expression in control vs NMD-inhibited RP1380 TetO-shSMG1 tumors (DOXY) grown subcutaneously in RAG1-KO C57BL/6 mice. K) Flow cytometry data for murine RP1380 TetO-shSMG1 allograft models grown in RAG1-KO C57BL/6 mice correlating tumor-specific H2-Kb surface expression with levels of immune cell (CD45+) infiltration. L) Representative flow cytometry contour plot showing T cells (CD45+/CD3+) and B cells (CD45+/CD19+) in the blood from WT C57BL/6 and RAG1-KO C57BL/6 mice.

Article Snippet: Murine primary antibodies used were CD45 (Miltenyi #130110665), CD3 (Miltenyi #130119793), Nkp46 (BD Biosciences #3122669), CD19 (Miltenyi #130112037), CD11b (Miltenyi #1301138063), CD14 (Miltenyi #130115559), H2-Kb (Miltenyi #130115586), IFN-γ (ThermoFisher #48731182), KI-67 (Miltenyi #130120418).

Techniques: Sequencing, Amplification, CRISPR, Clone Assay, Mutagenesis, Inhibition, Activation Assay, Derivative Assay, Control, Flow Cytometry, Staining, Co-Culture Assay, In Vivo, Expressing