7 research outputs found
The Impact of Chain Length and Flexibility in the Interaction between Sulfated Alginates and HGF and FGF‑2
Alginate
is a promising polysaccharide for use in biomaterials
as it is biologically inert. One way to functionalize alginate is
by chemical sulfation to emulate sulfated glycosaminoglycans, which
interact with a variety of proteins critical for tissue development
and homeostasis. In the present work we studied the impact of chain
length and flexibility of sulfated alginates for interactions with
FGF-2 and HGF. Both growth factors interact with defined sequences
of heparan sulfate (HS) at the cell surface or in the extracellular
matrix. Whereas FGF-2 interacts with a pentasaccharide sequence containing
a critical 2-O-sulfated iduronic acid, HGF has been suggested to require
a highly sulfated HS/heparin octasaccharide. Here, oligosaccharides
of alternating mannuronic and guluronic acid (MG) were sulfated and
assessed by their relative efficacy at releasing growth factor bound
to the surface of myeloma cells. 8-mers of sulfated MG (SMG) alginate
showed significant HGF release compared to shorter fragments, while
the maximum efficacy was achieved at a chain length average of 14
monosaccharides. FGF-2 release required a higher concentration of
the SMG fragments, and the 14-mer was less potent compared to an equally
sulfated high-molecular weight SMG. Sulfated mannuronan (SM) was subjected
to periodate oxidation to increase chain flexibility. To assess the
change in flexibility, the persistence length was estimated by SEC-MALLS
analysis and the Bohdanecky approach to the worm-like chain model.
A high degree of oxidation of SM resulted in approximately twice as
potent HGF release compared to the nonoxidized SM alginate. The release
of FGF-2 also increased with the degree of oxidation, but to a lower
degree compared to that of HGF. It was found that the SM alginates
were more efficient at releasing FGF-2 than the SMG alginates, indicating
a greater dependence on monosaccharide identity and charge orientation
over chain flexibility and charge density
PDL1 Expression on Plasma and Dendritic Cells in Myeloma Bone Marrow Suggests Benefit of Targeted anti PD1-PDL1 Therapy
<div><p>In this study we set out to investigate whether anti PDL1 or PD–1 treatment targeting the immune system could be used against multiple myeloma. DCs are important in regulating T cell responses against tumors. We therefore determined PDL1 and PDL2 expression on DC populations in bone marrow of patients with plasma cell disorders using multicolour Flow Cytometry. We specifically looked at CD141<sup>+</sup> and CD141<sup>-</sup> myeloid and CD303<sup>+</sup> plasmacytoid DC. The majority of plasma cells (PC) and DC subpopulations expressed PDL1, but the proportion of positive PDL1+ cells varied among patients. A correlation between the proportion of PDL1<sup>+</sup> PC and CD141<sup>+</sup> mDC was found, suggesting both cell types could down-regulate the anti-tumor T cell response.</p></div
Expression of PDL1 on PC and monocytes in myeloma bone marrow.
<p>(A) PDL1 on plasma cells: Bone marrow cells were stained with antibodies against CD45, CD138, CD38, CD19, and CD274 (PDL1). Gates were set on FSC and SSC and doublets and CD19+ cells were excluded. Gating strategy is shown in Fig A in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139867#pone.0139867.s002" target="_blank">S2 File</a>. The distribution of % PDL1<sup>+</sup> PC in the bone marrow of patients (n = 14) is shown. (B) Proportion of PDL1<sup>+</sup> PC does not increase with tumor load. The % PDL1<sup>+</sup> gated CD38<sup>+</sup>CD19<sup>-</sup> PC versus % bone marrow plasma cells is plotted. Each dot represents one patient. P values were calculated from a Spearman’s test (n = 14). (C) PDL1 on monocytes and DCs: Bone marrow cells were stained with antibodies against lineage (CD3, CD19, CD56, CD138, CD15, CD34, and CD235a), CD45, HLADR, and CD11c. The gating strategy is shown in Supplementary S1B Fig. Gates were set on FSC and SSC, doublets excluded, and gates further set on lineage- CD45<sup>+</sup>cells. Figure shows distribution of % PDL1+ monocytes/DC in the bone marrow of patients (n = 14). (D) Correlation of % PDL1+ PC and monocytes/DC; % PDL1<sup>+</sup>CD11c<sup>+</sup>DR<sup>+</sup> monocytes/DC versus % PDL1<sup>+</sup>CD38<sup>+</sup>CD19<sup>-</sup> plasma cells is plotted. Each dot represents one patient. P value was calculated from a Spearman’s test.</p
DC subtypes express PDL1 in myeloma bone marrow.
<p>Bone marrow and blood were stained with antibodies against CD141, lineage (CD3, CD19, CD56, CD138, CD15, CD34, and CD235a), CD45, HLADR, CD303, CD1c, and CD11c. The gating strategy is shown in Fig D in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139867#pone.0139867.s002" target="_blank">S2 File</a>). Three DC populations were analysed; CD141<sup>+</sup> (CD141<sup>+</sup>DC) (panels A-C), CD141<sup>-</sup> (CD141<sup>-</sup>DC) (panels D-F), and CD303<sup>+</sup>DC (pDC) (panels G-I). PDL1 staining on one representative patient (panels A, D, G). Fluorescence minus one (FMO), (dotted line), was used as negative control and the percentage indicates PDL1<sup>+</sup> cells of the gated DC population. Panels B, E, and H show percentage of PDL1<sup>+</sup> cells within the (B) CD141<sup>+</sup> DC, (E) CD141<sup>-</sup> DC and (H) CD303<sup>+</sup> pDC populations in the bone marrow (n = 19), blood (n = 8) from patients, or blood from age matched (median age 61) healthy controls (n = 9). (median age of patients 61). Statistical analysis was performed with Mann Whitney Test. Panels C, F, and I show concomitant expression levels on bone marrow DC subtypes and plasma cells in individual patients. Each dot represents one patient. P values were calculated from Spearman’s tests.</p
The proportion of CD16+CD14dim monocytes increases with tumor cell load in bone marrow of patients with multiple myeloma
Multiple myeloma is an incurable cancer with expansion of malignant plasma cells
in the bone marrow. Previous studies have shown that monocytes and
macrophages in the bone marrow milieu are important for tumor growth and
may play a role in the drug response. We therefore characterized monocytes in
bone marrow aspirates by flow cytometry. We found that there was significant
correlation between the proportion of CX3CR1+, CD16+CD14dim non classical
monocytes, and percent plasma cells (PC) in the bone marrow of myeloma
patients. The bone marrow monocytes could be stimulated by TLR ligands to
produce cytokines which promote myeloma cell growth. The proportion of the
non-classical monocytes increased with the tumor load, particularly in patients
with tumor loads in the range of 10–30% bone marrow PC
Human AlkB Homolog 1 Is a Mitochondrial Protein That Demethylates 3-Methylcytosine in DNA and RNA*
The Escherichia coli AlkB protein and human homologs hABH2 and
hABH3 are 2-oxoglutarate (2OG)/Fe(II)-dependent DNA/RNA demethylases that
repair 1-methyladenine and 3-methylcytosine residues. Surprisingly, hABH1,
which displays the strongest homology to AlkB, failed to show repair activity
in two independent studies. Here, we show that hABH1 is a mitochondrial
protein, as demonstrated using fluorescent fusion protein expression,
immunocytochemistry, and Western blot analysis. A fraction is apparently
nuclear and this fraction increases strongly if the fluorescent tag is placed
at the N-terminal end of the protein, thus interfering with mitochondrial
targeting. Molecular modeling of hABH1 based upon the sequence and known
structures of AlkB and hABH3 suggested an active site almost identical to
these enzymes. hABH1 decarboxylates 2OG in the absence of a prime substrate,
and the activity is stimulated by methylated nucleotides. Employing three
different methods we demonstrate that hABH1 demethylates 3-methylcytosine in
single-stranded DNA and RNA in vitro. Site-specific mutagenesis
confirmed that the putative Fe(II) and 2OG binding residues are essential for
activity. In conclusion, hABH1 is a functional mitochondrial AlkB homolog that
repairs 3-methylcytosine in single-stranded DNA and RNA