Biophysical and functional characterization of N-terminal domain of Human Interferon Regulatory Factor 6

BACKGROUND

Interferon regulatory factor 6 (IRF6) has a key function in palate fusion during palatogenesis during embryonic development, and mutations in IRF6 cause orofacial clefting disorders.

METHODS AND RESULTS

The in silico analysis of IRF6 is done to obtain leads for the domain boundaries and subsequently the sub-cloning of the N-terminal domain of IRF6 into the pGEX-2TK expression vector and successfully optimized the overexpression and purification of recombinant glutathione S-transferase-fused NTD-IRF6 protein under native conditions. After cleavage of the GST tag, NTD-IRF6 was subjected to protein folding studies employing Circular Dichroism and Intrinsic fluorescence spectroscopy at variable pH, temperature, and denaturant. CD studies showed predominantly alpha-helical content and the highest stability of NTD-IRF6 at pH 9.0. A comparison of native and renatured protein depicts loss in the secondary structural content. Intrinsic fluorescence and quenching studies have identified that tryptophan residues are majorly present in the buried areas of the protein and a small fraction was on or near the protein surface. Upon the protein unfolding with a higher concentration of denaturant urea, the peak of fluorescence intensity decreased and red shifted, confirming that tryptophan residues are majorly present in a more polar environment. While regulating IFNβ gene expression during viral infection, the N-terminal domain binds to the promoter region of Virus Response Element-Interferon beta (VRE-IFNβ). Along with the protein folding analysis, this study also aimed to identify the DNA-binding activity and determine the binding affinities of NTD-IRF6 with the VRE-IFNβ promoter region. The protein-DNA interaction is specific as demonstrated by gel retardation assay and the kinetics of molecular interactions as quantified by Biolayer Interferometry showed a strong affinity with an affinity constant (KD) value of 7.96 × 10-10 M.

CONCLUSION

NTD-IRF6 consists of a mix of α-helix and β-sheets that show temperature-dependent cooperative unfolding between 40 °C and 55 °C. Urea-induced unfolding shows moderate tolerance to urea as the mid-transition concentration of urea (Cm) is 3.2 M. The tryptophan residues are majorly buried as depicted by fluorescence quenching studies. NTD-IRF6 has a specific and high affinity toward the promoter region of VRE-IFNβ.

TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms

Label-free techniques including Surface Plasmon Resonance (SPR) and Biolayer Interferometry (BLI) are biophysical tools widely used to collect binding kinetics data of bimolecular interactions. To efficiently analyze SPR and BLI binding kinetics data, we have built a new high throughput analysis tool named the TitrationAnalysis. It can be used as a package in the Mathematica scripting environment and ultilize the non-linear curve-fitting module of Mathematica for its core function. This tool can fit the binding time course data and estimate association and dissociation rate constants ( k a and k d respectively) for determining apparent dissociation constant ( K D) values. The high throughput fitting process is automatic, requires minimal knowledge on Mathematica scripting and can be applied to data from multiple label-free platforms. We demonstrate that the TitrationAnalysis is optimal to analyze antibody-antigen binding data acquired on Biacore T200 (SPR), Carterra LSA (SPR imaging) and ForteBio Octet Red384 (BLI) platforms. The k a, k d and K D values derived using TitrationAnalysis very closely matched the results from the commercial analysis software provided specifically for these instruments. Additionally, the TitrationAnalysis tool generates user-directed customizable results output that can be readily used in downstream Data Quality Control associated with Good Clinical Laboratory Practice operations. With the versatility in source of data input source and options of analysis result output, the TitrationAnalysis high throughput analysis tool offers investigators a powerful alternative in biomolecular interaction characterization.

The distinct RNA-interaction modes of a small ZnF domain underlay TUT4(7) diverse action in miRNA regulation

TUT4 and the closely related TUT7 are non-templated poly(U) polymerases required at different stages of development, and their mis-regulation or mutation has been linked to important cancer pathologies. While TUT4(7) interaction with its pre-miRNA targets has been characterized in detail, the molecular bases of the broader target recognition process are unclear. Here, we examine RNA binding by the ZnF domains of the protein. We show that TUT4(7) ZnF2 contains two distinct RNA binding surfaces that are used in the interaction with different RNA nucleobases in different targets, i.e that this small domain encodes diversity in TUT4(7) selectivity and molecular function. Interestingly and unlike other well-characterized CCHC ZnFs, ZnF2 is not physically coupled to the flanking ZnF3 and acts independently in miRNA recognition, while the remaining CCHC ZnF of TUT4(7), ZnF1, has lost its intrinsic RNA binding capability. Together, our data suggest that the ZnFs of TUT4(7) are independent units for RNA and, possibly, protein-protein interactions that underlay the protein's functional flexibility and are likely to play an important role in building its interaction network.

Biophysical Characterization of Aptamer-Target Interactions

Aptamers are single-stranded nucleic acid molecules forming well-defined 3D structures. Aptamers typically bind to their ligands with high affinity and specificity. They are capable of interacting with various kinds of ligands: ions, small molecules, peptides, proteins, viruses, bacteria, and even cells. Therefore, aptamers are in widespread use as sensor molecules or as targeting agents in diagnostics and pharmaceutics. As a prerequisite for their use in these economic high-value areas, aptamers must be studied in detail with respect to different biophysical characteristics. Of central importance are basic binding parameters of the aptamer-target interaction, such as binding affinity and kinetics. Numerous biophysical methods with different features, characteristics, and capabilities are used in the field today for this purpose.This chapter provides an overview of the current state-of-the-art technologies for studying interactions between aptamers and targets and discusses their advantages as well as drawbacks. Furthermore, essential aspects influencing any aptamer characterization strategy will be presented. Finally, issues of comparability of binding data between different aptamer characterization technologies will be discussed. Graphical Abstract.

Intrinsic selectivity of Notch 1 for Delta-like 4 over Delta-like 1

Notch signaling makes critical contributions to cell fate determination in all metazoan organisms, yet remarkably little is known about the binding affinity of the four mammalian Notch receptors for their three Delta-like and two Jagged family ligands. Here, we utilized signaling assays and biochemical studies of purified recombinant ligand and receptor molecules to investigate the differences in signaling behavior and intrinsic affinity between Notch1-Dll1 and Notch1-Dll4 complexes. Systematic deletion mutagenesis of the human Notch1 ectodomain revealed that epidermal growth factor (EGF) repeats 6-15 are sufficient to maintain signaling in a reporter assay at levels comparable with the full-length receptor, and identified important contributions from EGF repeats 8-10 in conveying an activating signal in response to either Dll1 or Dll4. Truncation studies of the Dll1 and Dll4 ectodomains showed that the MNNL-EGF3 region was both necessary and sufficient for full activation. Plate-based and cell binding assays revealed a specific, calcium-dependent interaction between cell-surface and recombinant Notch receptors and ligand molecules. Finally, direct measurement of the binding affinity of Notch1 EGF repeats 6-15 for Dll1 and Dll4 revealed that Dll4 binds with at least an order of magnitude higher affinity than Dll1. Together, these studies give new insights into the features of ligand recognition by Notch1, and highlight how intrinsic differences in the biochemical behavior of receptor-ligand complexes can influence receptor-mediated responses of developmental signaling pathways.