9 research outputs found

    Whole-body integration of gene expression and single-cell morphology

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    Animal bodies are composed of cell types with unique expression programs that implement their distinct locations, shapes, structures, and functions. Based on these properties, cell types assemble into specific tissues and organs. To systematically explore the link between cell-type-specific gene expression and morphology, we registered an expression atlas to a whole-body electron microscopy volume of the nereid Platynereis dumerilii. Automated segmentation of cells and nuclei identifies major cell classes and establishes a link between gene activation, chromatin topography, and nuclear size. Clustering of segmented cells according to gene expression reveals spatially coherent tissues. In the brain, genetically defined groups of neurons match ganglionic nuclei with coherent projections. Besides interneurons, we uncover sensory-neurosecretory cells in the nereid mushroom bodies, which thus qualify as sensory organs. They furthermore resemble the vertebrate telencephalon by molecular anatomy. We provide an integrated browser as a Fiji plugin for remote exploration of all available multimodal datasets

    T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers

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    Introduction: Lymphocyte infiltration (LI) is often seen in breast cancer but its importance remains controversial. A positive correlation of human epidermal growth factor receptor 2 (HER2) amplification and LI has been described, which was associated with a more favorable outcome. However, specific lymphocytes might also promote tumor progression by shifting the cytokine milieu in the tumor. Methods: Affymetrix HG-U133A microarray data of 1,781 primary breast cancer samples from 12 datasets were included. The correlation of immune system-related metagenes with different immune cells, clinical parameters, and survival was analyzed. Results: A large cluster of nearly 600 genes with functions in immune cells was consistently obtained in all datasets. Seven robust metagenes from this cluster can act as surrogate markers for the amount of different immune cell types in the breast cancer sample. An IgG metagene as a marker for B cells had no significant prognostic value. In contrast, a strong positive prognostic value for the T-cell surrogate marker (lymphocyte-specific kinase (LCK) metagene) was observed among all estrogen receptor (ER)-negative tumors and those ER-positive tumors with a HER2 overexpression. Moreover ER-negative tumors with high expression of both IgG and LCK metagenes seem to respond better to neoadjuvant chemotherapy. Conclusions: Precise definitions of the specific subtypes of immune cells in the tumor can be accomplished from microarray data. These surrogate markers define subgroups of tumors with different prognosis. Importantly, all known prognostic gene signatures uniformly assign poor prognosis to all ER-negative tumors. In contrast, the LCK metagene actually separates the ER-negative group into better or worse prognosis

    Ran GTPase in Nuclear Envelope Formation and Cancer Metastasis

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    NoRan is a small ras-related GTPase that controls the nucleocytoplasmic exchange of macromolecules across the nuclear envelope. It binds to chromatin early during nuclear formation and has important roles during the eukaryotic cell cycle, where it regulates mitotic spindle assembly, nuclear envelope formation and cell cycle checkpoint control. Like other GTPases, Ran relies on the cycling between GTP-bound and GDP-bound conformations to interact with effector proteins and regulate these processes. In nucleocytoplasmic transport, Ran shuttles across the nuclear envelope through nuclear pores. It is concentrated in the nucleus by an active import mechanism where it generates a high concentration of RanGTP by nucleotide exchange. It controls the assembly and disassembly of a range of complexes that are formed between Ran-binding proteins and cellular cargo to maintain rapid nuclear transport. Ran also has been identified as an essential protein in nuclear envelope formation in eukaryotes. This mechanism is dependent on importin-β, which regulates the assembly of further complexes important in this process, such as Nup107–Nup160. A strong body of evidence is emerging implicating Ran as a key protein in the metastatic progression of cancer. Ran is overexpressed in a range of tumors, such as breast and renal, and these perturbed levels are associated with local invasion, metastasis and reduced patient survival. Furthermore, tumors with oncogenic KRAS or PIK3CA mutations are addicted to Ran expression, which yields exciting future therapeutic opportunities

    The Liver Prometastatic Reaction of Cancer Patients: Implications for Microenvironment-Dependent Colon Cancer Gene Regulation

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    Colon cancer frequently metastasizes to the liver but the genetic and phenotypic properties of specific cancer cells able to implant and grow in this organ have not yet been established. The contribution of the patient’s genetic, physiologic and pathologic backgrounds to the incidence and development of hepatic colon cancer metastases is also presently misunderstood. At a transcriptional level, hepatic metastasis development is in part associated with marked changes in gene expression of colon cancer cells that may originate in the primary tumor. Other changes occur in the liver and are regulated by hepatic cells, which represent the new microenvironment for metastatic colon cancer cells. However, hepatic parenchymal and non-parenchymal cell functions are also affected by both tumor-derived factors and systemic host factors, which suggests that the hepatic metastasis microenvironment is a functional linkage between the hepatic pathophysiology of the colon cancer patient and the biology of its cancer cells. Therefore, together with metastasis-related gene profiles suggesting the existence of liver metastasis potential in primary tumors, new biomarkers of the prometastatic microenvironment supported by the liver reaction to colon cancer factors may be helpful for the individual assessment of hepatic metastasis risk in colon cancer patients. In addition, knowledge on hepatic metastasis gene regulation by the hepatic microenvironment may open multiple opportunities for therapeutic intervention during colon cancer metastasis at both subclinical and advanced stages
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