Studying Monocyte-Myofibroblast Immunomodulation in a 3D Co-culture System

Simple and reproducible 3D cell culture systems that mimic biological interactions within physiological tissues (biomimetics) can provide unique insight for scientific inquiries compared to 2D cell cultures. Fibroblast-populated collagen lattices (FPCLs) are commonly used for mimicking physiological collagen matrices, potentiating biomechanical stresses on embedded fibroblasts. Here, we describe a novel 3D co-culture model that incorporates human Tenon's capsule fibroblasts embedded in FPCLs co-cultured with THP-1 monocytes suspended in culture media. This method can be used for the assessment of cell-cell interactions in various stages of the wound healing process and can facilitate various types of immune cells in co-culture. This system can also be used to study pharmacological agents that may eventually improve clinical outcomes in patients affected by inflammatory disorders.

Patient-derived Colonoids From Disease-spared Tissue Retain Inflammatory Bowel Disease-specific Transcriptomic Signatures

BACKGROUND AND AIMS

A key histopathological feature of inflammatory bowel disease is damage to the mucosa, including breakdown of the epithelial barrier. Human enteroids and colonoids are a critical bench-to-bedside tool for studying the epithelium in inflammatory bowel disease. The goal of the current study was to define transcriptional differences in healthy versus diseased subjects that are sustained in enteroids and colonoids, including from disease-spared tissue.

METHODS

Biopsies and matching enteroid or colonoid cultures from pediatric patients with ileal Crohn disease (N = 6) and control subjects (N = 17) were subjected to RNA sequencing followed by bioinformatic and machine learning analyses. Late passage enteroids were exposed to cytokines to assess durable transcriptional differences.

RESULTS

We observed substantial overlap of pathways upregulated in Crohn disease in enteroids and ileal biopsies, as well as colonoids and rectal biopsies. KEGG pathways for cytokine-cytokine receptor interaction, chemokine signaling, protein export, and Toll-like receptor signaling were upregulated in both ileal and rectal biopsies, as well as enteroids and colonoids. In vitro cytokine exposure reactivated genes previously increased in biopsies. Machine learning predicted biopsy location (100% accuracy) and donor disease status (83% accuracy). A random forest classifier generated using ileal enteroids identified rectal colonoids from ileal Crohn disease subjects with 80% accuracy.

CONCLUSION

We confirmed transcriptional profiles of Crohn disease biopsies are expressed in enteroids and colonoids. Furthermore, transcriptomic data from disease-spared rectal tissue can identify patients with ileal Crohn disease. Our data support the use of patient enteroids and colonoids as critical translational tools for the study of inflammatory bowel disease.

Insilico Structural 3D Modelling of Novel Cry1Ib9 and Cry3A Toxins from Local Isolates of Bacillus thuringiensis

Three-dimensional (3D) models for the 79.2 kDa activated Cry1Ib9 and 77.4 kDa activated Cry3A δ-endotoxins from Bacillus thuringiensis (Bt) native isolates that are specifically toxic to Coleopteran insect pests were constructed by utilizing homology modeling online tool. Evidences presented here, based on the identification of structural equivalent residues of Cry1Ib9 and Cry3A toxin through homology modelling indicate that, they share a common Bt toxin tridimensional structure. The main differences observed in Cry1I9 domain I at positions α2b (S56-I60), α4 (F78-l93) and additionally β0 (Q10-L12), α8a (T280-V282) were observed, in domain II at positions α9b (P333-L339), β6(T390-Q393), β7(V398-W404), β8 (V418-W425), β9 (E453-N454), β10 (S470-I479) where as in domain III the changes were observed at positions β19 (R601-F607), β20 (609-L613), β21 (S618-F627) and α11a (K655-F664), α13, α14 components present at downstream sites, where as in Cry3A main differences observed in domain I is at the position of α4 (P105-I152), α5 (Q163-A185), β1A(E190-L192), α6 (F193-Y217), Domain II is not consevered and main variations were observed at β2 (E292-L295), β3(V299-L308), β4(I340-F347), β5(D356-P368), β6(I375-T377), β7(V389-F394), β8(K398-N405), β9(Y416-Y427), β10 (T436-Y439), β12(G476-H495), β12A (M503-I504) where as in domain III main variations observed at positions of β18 (P583-I593), β19(F604-S610), β20(P611-L615), β21(N619-G626). Cry1Ib9 and Cry3A contain the most variable regions in the loops of domain II, which determine the specificity of these toxins. These are the first models of Coleopteran-active protein from native isolates of Bt and its importance can be perceived since members of this group of toxins are potentially important candidates for coleoptera insect pest control programs.