Studies of a murine monoclonal antibody directed against DARC: reappraisal of its specificity

Duffy antigen is expressed during erythropoiesis in Duffy-negative individuals

The erythrocyte silent Duffy blood group phenotype in Africans is thought to confer resistance to Plasmodium vivax blood-stage infection. However, recent studies report P. vivax infections across Africa in Fy-negative individuals. This suggests that the globin transcription factor 1 (GATA-1) SNP underlying Fy negativity does not entirely abolish Fy expression or that P. vivax has developed a Fy-independent red blood cell (RBC) invasion pathway. We show that RBCs and erythroid progenitors from in vitro differentiated CD34 cells and from bone marrow aspirates from Fy-negative samples express a functional Fy on their surface. This suggests that the GATA-1 SNP does not entirely abolish Fy expression. Given these results, we developed an in vitro culture system for P. vivax and show P. vivax can invade erythrocytes from Duffy-negative individuals. This study provides evidence that Fy is expressed in Fy-negative individuals and explains their susceptibility to P. vivax with major implications and challenges for P. vivax malaria eradication.

Quality assessment of VHH models

Heavy Chain Only Antibodies are specific to Camelid species. Despite the lack of the light chain variable domain, their heavy chain variable domain (VH) domain, named VHH or nanobody, has promising potential applications in research and therapeutic fields. The structural study of VHH is therefore of great interest. Unfortunately, considering the huge amount of sequences that might be produced, only about one thousand of VHH experimental structures are publicly available in the Protein Data Bank, implying that structural model prediction of VHH is a necessary alternative to obtaining 3D information besides its sequence. The present study aims to assess and compare the quality of predictions from different modelling methodologies. Established comparative & homology modelling approaches to recent Deep Learning-based modelling strategies were applied, i.e. Modeller using single or multiple structural templates, ModWeb, SwissModel (with two evaluation schema), RoseTTAfold, AlphaFold 2 and NanoNet. The prediction accuracy was evaluated using RMSD, TM-score, GDT-TS, GDT-HA and Protein Blocks distance metrics. Besides the global structure assessment, we performed specific analyses of Frameworks and CDRs structures. We observed that AlphaFold 2 and especially NanoNet performed better than the other evaluated softwares. Importantly, we performed molecular dynamics simulations of an experimental structure and a NanoNet predicted model of a VHH in order to compare the global structural flexibility and local conformations using Protein Blocks. Despite rather similar structures, substantial differences in dynamical properties were observed, which underlies the complexity of the task of model evaluation.Communicated by Ramaswamy H. Sarma.

VHH Structural Modelling Approaches: A Critical Review

VHH, i.e., VH domains of camelid single-chain antibodies, are very promising therapeutic agents due to their significant physicochemical advantages compared to classical mammalian antibodies. The number of experimentally solved VHH structures has significantly improved recently, which is of great help, because it offers the ability to directly work on 3D structures to humanise or improve them. Unfortunately, most VHHs do not have 3D structures. Thus, it is essential to find alternative ways to get structural information. The methods of structure prediction from the primary amino acid sequence appear essential to bypass this limitation. This review presents the most extensive overview of structure prediction methods applied for the 3D modelling of a given VHH sequence (a total of 21). Besides the historical overview, it aims at showing how model software programs have been shaping the structural predictions of VHHs. A brief explanation of each methodology is supplied, and pertinent examples of their usage are provided. Finally, we present a structure prediction case study of a recently solved VHH structure. According to some recent studies and the present analysis, AlphaFold 2 and NanoNet appear to be the best tools to predict a structural model of VHH from its sequence.

Structural insights into the interaction of a monoclonal antibody and Nodal peptides by STD-NMR spectroscopy

Nodal is a growth factor expressed during early embryonic development, but reactivated in several advanced-stage cancers. Targeting of Nodal signaling, which occurs via the binding to Cripto-1 co-receptor, results in inhibition of cell aggressiveness and reduced tumor growth. The Nodal binding region to Cripto-1 was identified and targeted with a high affinity monoclonal antibody (3D1). By STD-NMR technique, we investigated the interaction of Nodal fragments with 3D1 with the aim to elucidate at atomic level the interaction surface. Data indicate with high accuracy the antibody-antigen contact atoms and confirm the information previously obtained by immune-enzymatic methods. Main residues contacted by 3D1 are P46, V47, E49 and E50, which belong to the Nodal loop involved in the interaction with the co-receptor.

Global analysis of VHHs framework regions with a structural alphabet

The VHHs are antigen-binding region/domain of camelid heavy chain antibodies (HCAb). They have many interesting biotechnological and biomedical properties due to their small size, high solubility and stability, and high affinity and specificity for their antigens. HCAb and classical IgGs are evolutionary related and share a common fold. VHHs are composed of regions considered as constant, called the frameworks (FRs) connected by Complementarity Determining Regions (CDRs), a highly variable region that provide interaction with the epitope. Actually, no systematic structural analyses had been performed on VHH structures despite a significant number of structures. This work is the first study to analyse the structural diversity of FRs of VHHs. Using a structural alphabet that allows approximating the local conformation, we show that each of the four FRs do not have a unique structure but exhibit many structural variant patterns. Moreover, no direct simple link between the local conformational change and amino acid composition can be detected. These results indicate that long-range interactions affect the local conformation of FRs and impact the building of structural models.

MiR-29 Induces K562 Cell Apoptosis by Down-Regulating FoxM1

Background

Leukemia seriously threatens human life and health. MicroRNAs can regulate cell growth, proliferation, and death. This article investigated the role of miR-29 on regulating leukemia cell growth, proliferation, and apoptosis.

Material/Methods

miR-29 and scramble miRNA were transfected to K562 cells. MTT assay, colony formation assay, caspase-3 activity detection, and flow cytometry were applied to test miR-29 effect on cell growth, proliferation, and apoptosis. Western blot was used to detect Forkhead box protein M1 (FoxM1) protein expression. After we transfected miR-29, K562 cells were transfected with FoxM1 siRNA to test cell apoptosis.

Results

K562 cell growth and proliferation were inhibited after transfection with miR-29. Apoptosis phenome and caspase-3 activation were observed. FoxM1 level decreased. SiRNA FoxM1 enhanced miR-29-induced K562 cell apoptosis. FoxM1 overexpression suppressed miR-26-induced K562 cell apoptosis.

Conclusions

MiR-29 restrained K562 cell growth and proliferation. MiR-29 induced K562 cell apoptosis through down-regulating FoxM1.