Design of Recombinant Stem Cell Factor–macrophage Colony Stimulating Factor Fusion Proteins and their Biological Activity In Vitro

SNAP-Tag Technology: A Promising Tool for Ex Vivo Immunophenotyping

BACKGROUND

SNAP-tag, a self-labeling protein tag, is commonly used for in vitro and in vivo analysis of bound target proteins. We report the first evidence that SNAP-tag could be used for ex vivo detection of enriched biological markers.

METHODS

Proof of concept was established for target c-kit receptor, a pathological and diagnostic marker for a variety of cancers. SNAP-tag conjugates with stem-cell factor (SCF) fusion proteins were designed and their binding and specificity was validated in vitro using flow cytometry and immunostaining.

RESULTS

Ex vivo diagnostic application of the fusion protein was demonstrated in comparison with anti-c-kit antibody for peripheral blood samples from leukemia patients and colorectal tissue specimens.

Epigenetics changes caused by the fusion of human embryonic stem cell and ovarian cancer cells

To observe the effect of gene expression and tumorigenicity in hybrid cells of human embryonic stem cells (hESCs) and ovarian cancer cells in vitro and in vivo using a mouse model, and to determine its feasibility in reprogramming tumour cells growth and apoptosis, for a potential exploration of the role of hESCs and tumour cells fusion in the management of ovarian cancer. Stable transgenic hESCs (H1) and ovarian cancer cell line OVCAR-3 were established before fusion, and cell fusion system was established to analyse the related indicators. PTEN expression in HO-H1 cells was higher than those in the parental stem cells and lower than those in parental tumour cells; the growth of OV-H1 (RFP+GFP) hybrid cells with double fluorescence expressions were obviously slower than that of human embryonic stem cells and OVCAR-3 ovarian cancer cells. The apoptosis signal of the OV-H1 hybrid cells was significantly higher than that of the hESCs and OVCAR-3 ovarian cancer cells. In vivo results showed that compared with 7 days, 28 days and 35 days after inoculation of OV-H1 hybrid cells; also, apoptotic cell detection indicated that much stronger apoptotic signal was found in OV-H1 hybrid cells inoculated mouse. The hESCs can inhibit the growth of OVCAR-3 cells in vitro by suppressing p53 and PTEN expression to suppress the growth of tumour that may be achieved by inducing apoptosis of OVCAR-3 cells. The change of epigenetics after fusion of ovarian cancer cells and hESCs may become a novel direction for treatment of ovarian cancer.

Molecular modeling of BAD complex resided in a mitochondrion integrating glycolysis and apoptosis

BAD (Bcl-2 antagonist of cell death) and GK (glucokinase) reside in a mitochondrial complex together with PKA and PP1 catalytic units (PKAc and PP1c) and WAVE-1 that integrates glycolysis and apoptosis. Our research results reveal that BAD is phosphorylated and inactivated on Ser 75 in a BAD-Bcl-xL complex by PKA (targeted to mitochondria through association with WAVE1), resulting in the dissociation of BAD and its binding to GK. Moreover, GK can interact with PP1c and also distinguish WAVE1. On the other hand, BAD is dephosphorylated and activated on Ser75 by PP1c, leading to the separation of PKAc and its binding to the regulatory (R) subunit of PKA which by the dimerization domain of its R subunit connects with WAVE1 linked with GK of the complex. This may be the reason of the complex existing in liver mitochondria, regardless of phosphorylated and dephosphorylated BAD. Additionally, GK like PKA may also prevent Bcl-xL from rebinding to BAD by phosphorylating BAD at Ser 118. The BAD complex model reveals that BAD and GK play key roles because of BAD as a substrate for the PKA-PP1 pair and by BH3 domain directly interacting with GK. This is helpful for our development and research of the molecular mechanism of BAD integrating glycolysis and apoptosis.

Molecular modeling of human BAD and its interaction with PKAc or PP1c

To build up the structure of human BAD (Bcl-2 antagonist of cell death), subsequently combined with PKAc or PP1c (protein phosphatase 1), to investigate the interaction relationship between BAD and its kinase/PTPese at the molecular level. Additionally, it is concerned with the search for all optimal positions and orientations of a set of amino acid residues of BAD, while its binding sites include N-termini (Glu19, Ala27, and Ser34-Lys35), BH3-located helical domain (Arg98-Lys126), and C-termini (Trp154-Ser163 and Ser167-Gln168). The related sites of PKAc are mainly assembled in C-terminal alpha/beta-domain of PKAc, which comprises the KTL motif (47-49), Glu203 residue, a helical region (Asp241-Arg256), and the span from 328 to 333; while the interaction sites with BAD converge at C-terminal beta-domain of PP1c, which includes the DEK motif (166-168), the stretch from 179 to 197 including a helix (Glu184-Arg188), Glu230-Asp242 segment containing Val232-His237 helix, and Glu287-Leu289 loop. In conclusion, analysis of the complex between BAD and PKAc or PP1c provides a novel viewpoint on the structural origins of molecular recognition. And the complex models suggest that BH3 domain of BAD interact with PKAc or PP1c by electrostatic, van der Waals contacts, hydrogen bond and salt bridge. This is helpful for our development and research of some new drugs, especially mimetic BH3 peptides and inspires scientists with BAD complex and molecular mechanism of its integrating glycolysis and apoptosis.