11 research outputs found
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data
Background. A large number of algorithms is being developed to reconstruct
evolutionary models of individual tumours from genome sequencing data. Most
methods can analyze multiple samples collected either through bulk multi-region
sequencing experiments or the sequencing of individual cancer cells. However,
rarely the same method can support both data types.
Results. We introduce TRaIT, a computational framework to infer mutational
graphs that model the accumulation of multiple types of somatic alterations
driving tumour evolution. Compared to other tools, TRaIT supports multi-region
and single-cell sequencing data within the same statistical framework, and
delivers expressive models that capture many complex evolutionary phenomena.
TRaIT improves accuracy, robustness to data-specific errors and computational
complexity compared to competing methods.
Conclusions. We show that the application of TRaIT to single-cell and
multi-region cancer datasets can produce accurate and reliable models of
single-tumour evolution, quantify the extent of intra-tumour heterogeneity and
generate new testable experimental hypotheses
Additional file 2: Figure S1. of Potential and active functions in the gut microbiota of a healthy human cohort
Principal component analysis plots related to taxonomic and functional features. MG data are in blue, while MP data are in red. Each dot (with different shape) represents a different human subject. (A) phyla; (B) genera; (C) KOGs; (D) KOG-phylum combinations. (PNG 2001 kb
Additional file 5: Dataset S2. of Potential and active functions in the gut microbiota of a healthy human cohort
Relative abundance and differential analysis outputs concerning Firmicutes and Bacteroidetes KOGs, according to MG and MP data. (XLSX 101 kb
image_3_CD8+HLADR+ Regulatory T Cells Change With Aging: They Increase in Number, but Lose Checkpoint Inhibitory Molecules and Suppressive Function.tif
<p>CD4<sup>+</sup> regulatory T cells have been intensively studied during aging, but little is still known about age-related changes of other regulatory T cell subsets. It was, therefore, the goal of the present study to analyze CD8<sup>+</sup>human leukocyte antigenāantigen D related (HLADR)<sup>+</sup> T cells in old age, a cell population reported to have suppressive activity and to be connected to specific genetic variants. We demonstrate a strong increase in the number of CD8<sup>+</sup>HLADR<sup>+</sup> T cells with age in a cohort of female Sardinians as well as in elderly male and female persons from Austria. We also show that CD8<sup>+</sup>HLADR<sup>+</sup> T cells lack classical activation molecules, such as CD69 and CD25, but contain increased numbers of checkpoint inhibitory molecules, such as cytotoxic T lymphocyte-associated antigen 4, T cell immunoglobulin and mucin protein-3, LAG-3, and PD-1, when compared with their HLADR<sup>ā</sup> counterparts. They also have the capacity to inhibit the proliferation of autologous peripheral blood mononuclear cells. This suppressive activity is, however, decreased when CD8<sup>+</sup>HLADR<sup>+</sup> T cells from elderly persons are analyzed. In accordance with this finding, CD8<sup>+</sup>HLADR<sup>+</sup> T cells from persons of old age contain lower percentages of checkpoint inhibitory molecules than young controls. We conclude that in spite of high abundance of a CD8<sup>+</sup> regulatory T cell subset in old age its expression of checkpoint inhibitory molecules and its suppressive function on a per cell basis are reduced. Reduction of suppressive capacity may support uncontrolled subclinical inflammatory processes referred to as āinflamm-aging.ā</p
image_1_CD8+HLADR+ Regulatory T Cells Change With Aging: They Increase in Number, but Lose Checkpoint Inhibitory Molecules and Suppressive Function.tif
<p>CD4<sup>+</sup> regulatory T cells have been intensively studied during aging, but little is still known about age-related changes of other regulatory T cell subsets. It was, therefore, the goal of the present study to analyze CD8<sup>+</sup>human leukocyte antigenāantigen D related (HLADR)<sup>+</sup> T cells in old age, a cell population reported to have suppressive activity and to be connected to specific genetic variants. We demonstrate a strong increase in the number of CD8<sup>+</sup>HLADR<sup>+</sup> T cells with age in a cohort of female Sardinians as well as in elderly male and female persons from Austria. We also show that CD8<sup>+</sup>HLADR<sup>+</sup> T cells lack classical activation molecules, such as CD69 and CD25, but contain increased numbers of checkpoint inhibitory molecules, such as cytotoxic T lymphocyte-associated antigen 4, T cell immunoglobulin and mucin protein-3, LAG-3, and PD-1, when compared with their HLADR<sup>ā</sup> counterparts. They also have the capacity to inhibit the proliferation of autologous peripheral blood mononuclear cells. This suppressive activity is, however, decreased when CD8<sup>+</sup>HLADR<sup>+</sup> T cells from elderly persons are analyzed. In accordance with this finding, CD8<sup>+</sup>HLADR<sup>+</sup> T cells from persons of old age contain lower percentages of checkpoint inhibitory molecules than young controls. We conclude that in spite of high abundance of a CD8<sup>+</sup> regulatory T cell subset in old age its expression of checkpoint inhibitory molecules and its suppressive function on a per cell basis are reduced. Reduction of suppressive capacity may support uncontrolled subclinical inflammatory processes referred to as āinflamm-aging.ā</p
Mice transgenic for LYP-W620 (TgLYPW) show overexpression of LYP in DP thymocytes.
<p>A, LYP protein expression in TgLYPW thymocytes. Total thymocytes from TgLYPW (lane 2) or a non-Tg littermate (lane 1) and TgLYPW<sup>C227S</sup> (lane 4) or a non-Tg littermate (lane 3) were lysed and subjected to immunoprecipitation (IP) using an anti-HA antibody (Ab). Panel shows Western blotting using an anti-LYP Ab. Data are representative of 3 independent experiments with similar results. B, LYP phosphatase activity in TgLYPW thymocytes. Anti-HA IPs were performed from lysates of total thymocytes from TgLYPW and TgLYPW<sup>C227S</sup> mice. Graphs show the phosphatase activity of LYP as assessed by dephosphorylation of the fluorescent substrate DiFMUP. Data are representative of 2 independent experiments with similar results. CāD, LYP-W620 transgene expression in thymocyte subpopulations. Expression of LYPW (C) or LYPW<sup>C227S</sup> (D) was assessed by intracellular staining using a fluorophore-conjugated anti-HA Ab in DN (upper left panel), DP (upper right panel) CD4SP (lower left panel) and CD8SP (lower right panel) thymocytes from Tg mice (black graphs) and control non-Tg littermates (grey filled graphs). E, Quantification of overexpression of LYPW relative to endogenous Pep in DP thymocytes of TgLYPW mice. mRNA encoding LYP and Pep was quantified by qPCR from sorted DP thymocytes from control BALB/c (white bar) and TgLYPW (striped bar) mice, using a primer pair that amplifies both human <i>PTPN22</i> and mouse <i>Ptpn22</i> mRNAs. Graph shows relative expression levels of total <i>PTPN22</i> after normalization to the mouse housekeeping gene <i>Polr2a</i>. Data are average and SE of 3 biological replicates.</p
LYPW overexpression does not alter thymic repertoire and autoimmune phenotype of Skg mice.
<p>AāB, Overexpression of LYPW does not alter VĪ² repertoire or numbers of CD4<sup>+</sup>Foxp3<sup>+</sup> thymocytes in Skg/WT or Skg/Skg mice. Left panel shows average and SE % VĪ² positive CD4<sup>+</sup>Foxp3<sup>+</sup> and CD4<sup>+</sup>Foxp3<sup>ā</sup> thymocytes from Skg/WT (A) or Skg/Skg (B) TgLYPW (striped bars, nā=ā3 for Skg/WT and nā=ā6 for Skg/Skg) and control non-Tg littermates (white bars, nā=ā3 for Skg/WT and nā=ā5 for Skg/Skg) as assessed by flow cytometry analysis after staining with anti-VĪ²3, -VĪ²5 and -VĪ²8 antibodies. Right panel shows mean and range of CD4<sup>+</sup>Foxp3<sup>+</sup> (first and second bar) and total (third and fourth bars) thymocytes from the same Skg/WT (A) or Skg/Skg (B) TgLYPW mice (striped bars) or non-Tg littermates (white bars). C, Overexpression of LYPW does not alter the course of mannan-induced arthritis and the frequency of Th17 cells in peripheral lymph node (LN) of arthritic Skg mice. Left panel shows arthritis score (measured as ankle swelling in mm) of Skg/Skg TgLYPW mice (black circles, nā=ā6) and littermates non-Tg Skg/Skg mice (white circles, nā=ā5) followed-up for 40 days after a single i.p. injection of 20 mg mannan dissolved in 200 Āµl PBS. One month following mannan-injection, LN cells from Skg/Skg TgLYPW mice (black circles, nā=ā15) or non-Tg Skg/Skg littermates (white circles, nā=ā16) were stimulated with 20 ng/ml PMA and 2 mM ionomycin for 5 hours. Right panel shows % Th17<sup>+</sup> cells of the CD4<sup>+</sup> T cell population as assessed by flow cytometry analysis after intracellular staining with an anti-IL17 antibody.</p
Overexpression of LYPW inhibits TCR signaling in DP thymocytes.
<p>AāB, Overexpression of LYPW causes reduced activation of Erk in thymocytes. Total thymocytes from TgLYPW or TgLYPW<sup>C227S</sup> (striped bars) or their respective non-Tg littermates (white bars) were stimulated with 20 Āµg/ml anti-CD3 and 10 Āµg/ml anti-Armenian Hamster IgG1 crosslinker for 2.5 minutes. A, Graph shows phosphorylation of Erk in total thymocyte lysates assessed using the PathScanĀ® phospho-p44 MAPK (Thr202/Tyr204) sandwich ELISA kit. Histogram shows mean and range of fold induction of at least 3 biological replicates. B, Phosphorylation of Erk in DP thymocytes was assessed by phosphoflow analysis after intracellular staining with an anti-pErk Ab. Fold induction of Erk phosphorylation was normalized within each experiment relative to the sample with the highest induction. Histogram shows mean and range of at least 3 biological replicates. C, Overexpression of LYPW causes reduced T cell activation in DP thymocytes. Thymocytes from TgLYPW or TgLYPW<sup>C227S</sup> (grey graphs) and their respective non-Tg littermates (black graphs) were cultured in the presence of 10 Āµg/ml (long dashed graphs) or 25 Āµg/ml (solid graphs) anti-CD3, or media alone (dotted graphs), for 18 hours. Graphs shows expression of CD69 in DP thymocytes as assessed by flow cytometry analysis after staining with an anti-CD69 Ab. Median fluorescence intensity (MFI) values are indicated on each graph. Graphs are representative of at least 3 biological replicates with identical results.</p
Cell distribution in thymus of TgLYPW and TgLYPW<sup>C227S</sup>.
<p>Table shows the basic statistics (averageĀ±SD) of cell counts in transgenic animals and non transgenic littermates.</p
Polyclonal thymocytes undergo similar levels of negative selection in the presence of absence of transgenic LYP-W620.
<p>A, Lethally irradiated Rip-mOva mice (continuous graphs and black symbols) or C57BL/6 mice (dotted graphs and crossed symbols) were reconstituted with bone marrow harvested from VĪ²5xLYPW (circles) or VĪ²5 control (diamonds) mice. 10 weeks after the reconstitution the mice were infected with a strain of <i>Listeria monocytogenes</i> expressing Ovalbumin (Lm-Ova). Splenocytes were harvested at 8 days after the infection and briefly <i>in vitro</i> re-stimulated with titrated doses of SIINFEKL peptide. Afterwards, the cells were intracellularly stained for IFNĪ³. Peptide-dose response curves showing the frequency of IFNĪ³ producing CD8<sup>+</sup> T cells as fraction of maximum response are presented. B, TgLYPW, TgLYP<sup>C227S</sup> and control non-Tg mice contain similar numbers of low avidity auto-reactive T cells. RipxTgLYPW (left panel, black circles), RipxTgLYPW<sup>C227S</sup> (right panel, black triangles) and control Rip mice (left and right panels, black diamonds) were infected with Lm-Ova and 4 weeks later challenged by a strain of <i>Vesicular stomatitis virus</i> expressing Ova (VSV-Ova). On day 6 after the primary (left side of each panel) or the secondary infection (right side of each panel) blood was drawn from the mice and PBMC were briefly re-stimulated with SIINFEKL peptide. The number of IFNĪ³ producing CD8<sup>+</sup> T cells was determined by intracellular cytokine staining. Panels show the frequency of Ova-specific T cells.</p