| 1. |
- Beghini, Alessandro, et al.
(författare)
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Regeneration-associated WNT Signaling Is Activated in Long-term Reconstituting AC133(bright) Acute Myeloid Leukemia Cells
- 2012
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Ingår i: Neoplasia. - : Elsevier BV. - 1522-8002 .- 1476-5586. ; 14:12, s. 1236-
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Tidskriftsartikel (refereegranskat)abstract
- Acute myeloid leukemia (AML) is a genetically heterogeneous clonal disorder characterized by two molecularly distinct self-renewing leukemic stem cell (LSC) populations most closely related to normal progenitors and organized as a hierarchy. A requirement for WNT/beta-catenin signaling in the pathogenesis of AML has recently been suggested by a mouse model. However, its relationship to a specific molecular function promoting retention of self-renewing leukemia-initiating cells (LICs) in human remains elusive. To identify transcriptional programs involved in the maintenance of a self-renewing state in LICs, we performed the expression profiling in normal (n = 10) and leukemic (n = 33) human long-term reconstituting AC133(+) cells, which represent an expanded cell population in most AML patients. This study reveals the ligand-dependent WNT pathway activation in AC133(bright) AML cells and shows a diffuse expression and release of WNT 10B, a hematopoietic stem cell regenerative-associated molecule. The establishment of a primary AC133(+) AML cell culture (A46) demonstrated that leukemia cells synthesize and secrete WNT ligands, increasing the levels of dephosphorylated beta-catenin in vivo. We tested the LSC functional activity in AC133(+) cells and found significant levels of engraftment upon transplantation of A46 cells into irradiated Rag2(-/-)gamma c(-/-) mice. Owing to the link between hematopoietic regeneration and developmental signaling, we transplanted A46 cells into developing zebrafish. This system revealed the formation of ectopic structures by activating dorsal organizer markers that act downstream of the WNT pathway. In conclusion, our findings suggest that AC133(bright) LSCs are promoted by misappropriating homeostatic WNT programs that control hematopoietic regeneration.
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| 2. |
- Enge, Martin, et al.
(författare)
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Single-cell analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns
- 2017
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Ingår i: Cell. - : Elsevier BV. - 0092-8674 .- 1097-4172. ; 171:2, s. 321-330.e14
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Tidskriftsartikel (refereegranskat)abstract
- As organisms age, cells accumulate genetic and epigenetic errors that eventually lead to impaired organ function or catastrophic transformation such as cancer. Because aging reflects a stochastic process of increasing disorder, cells in an organ will be individually affected in different ways, thus rendering bulk analyses of postmitotic adult cells difficult to interpret. Here, we directly measure the effects of aging in human tissue by performing single-cell transcriptome analysis of 2,544 human pancreas cells from eight donors spanning six decades of life. We find that islet endocrine cells from older donors display increased levels of transcriptional noise and potential fate drift. By determining the mutational history of individual cells, we uncover a novel mutational signature in healthy aging endocrine cells. Our results demonstrate the feasibility of using single-cell RNA sequencing (RNA-seq) data from primary cells to derive insights into genetic and transcriptional processes that operate on aging human tissue.
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| 3. |
- Grundberg, Ida, et al.
(författare)
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In situ mutation detection and visualization of intratumor heterogeneity for cancer research and diagnostics
- 2013
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Ingår i: Oncotarget. - : Impact Journals, LLC. - 1949-2553. ; 4:12, s. 2407-2418
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Tidskriftsartikel (refereegranskat)abstract
- Current assays for somatic mutation analysis are based on extracts from tissue sections that often contain morphologically heterogeneous neoplastic regions with variable contents of genetically normal stromal and inflammatory cells, obscuring the results of the assays. We have developed an RNA-based in situ mutation assay that targets oncogenic mutations in a multiplex fashion that resolves the heterogeneity of the tissue sample. Activating oncogenic mutations are targets for a new generation of cancer drugs. For anti-EGFR therapy prediction, we demonstrate reliable in situ detection of KRAS mutations in codon 12 and 13 in colon and lung cancers in three different types of routinely processed tissue materials. High-throughput screening of KRAS mutation status was successfully performed on a tissue microarray. Moreover, we show how the patterns of expressed mutated and wild-type alleles can be studied in situ in tumors with complex combinations of mutated EGFR, KRAS and TP53. This in situ method holds great promise as a tool to investigate the role of somatic mutations during tumor progression and for prediction of response to targeted therapy.
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| 4. |
- Ke, Rongqin, et al.
(författare)
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Fourth Generation of Next-Generation Sequencing Technologies : Promise and Consequences
- 2016
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Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; 37:12, s. 1363-1367
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Forskningsöversikt (refereegranskat)abstract
- In this review, we discuss the emergence of the fourth-generation sequencing technologies that preserve the spatial coordinates of RNA and DNA sequences with up to subcellular resolution, thus enabling back mapping of sequencing reads to the original histological context. This information is used, for example, in two current large-scale projects that aim to unravel the function of the brain. Also in cancer research, fourth-generation sequencing has the potential to revolutionize the field. Cancer Research UK has named Mapping the molecular and cellular tumor microenvironment in order to define new targets for therapy and prognosis one of the grand challenges in tumor biology. We discuss the advantages of sequencing nucleic acids directly in fixed cells over traditional next-generation sequencing (NGS) methods, the limitations and challenges that these new methods have to face to become broadly applicable, and the impact that the information generated by the combination of in situ sequencing and NGS methods will have in research and diagnostics.
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| 5. |
- Ke, Rongqin, et al.
(författare)
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In situ sequencing for RNA analysis in preserved tissue and cells
- 2013
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Ingår i: Nature Methods. - : Springer Science and Business Media LLC. - 1548-7091 .- 1548-7105. ; 10:9, s. 857-860
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Tidskriftsartikel (refereegranskat)abstract
- Tissue gene expression profiling is performed on homogenates or on populations of isolated single cells to resolve molecular states of different cell types. In both approaches, histological context is lost. We have developed an in situ sequencing method for parallel targeted analysis of short RNA fragments in morphologically preserved cells and tissue. We demonstrate in situ sequencing of point mutations and multiplexed gene expression profiling in human breast cancer tissue sections.
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| 6. |
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| 7. |
- Kiflemariam, Sara, et al.
(författare)
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In situ sequencing identifies TMPRSS2-ERG fusion transcripts, somatic point mutations and gene expression levels in prostate cancers
- 2014
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Ingår i: Journal of Pathology. - : Wiley. - 0022-3417 .- 1096-9896. ; 234:2, s. 253-261
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Tidskriftsartikel (refereegranskat)abstract
- Translocations contribute to the genesis and progression of epithelial tumours and in particular to prostate cancer development. To better understand the contribution of fusion transcripts and visualize the clonal composition of multifocal tumours, we have developed a technology for multiplex in situ detection and identification of expressed fusion transcripts. When compared to immunohistochemistry, TMPRSS2-ERG fusion-negative and fusion-positive prostate tumours were correctly classified. The most prevalent TMPRSS2-ERG fusion variants were visualized, identified, and quantitated in human prostate cancer tissues, and the ratio of the variant fusion transcripts could for the first time be directly determined by in situ sequencing. Further, we demonstrate concurrent in situ detection of gene expression, point mutations, and gene fusions of the prostate cancer relevant targets AMACR, AR, TP53, and TMPRSS2-ERG. This unified approach to in situ analyses of somatic mutations can empower studies of intra-tumoural heterogeneity and future tissue-based diagnostics of mutations and translocations.
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| 8. |
- Liu, Ruishan, et al.
(författare)
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Modeling spatial correlation of transcripts with application to developing pancreas
- 2019
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 9
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Tidskriftsartikel (refereegranskat)abstract
- Recently high-throughput image-based transcriptomic methods were developed and enabled researchers to spatially resolve gene expression variation at the molecular level for the first time. In this work, we develop a general analysis tool to quantitatively study the spatial correlations of gene expression in fixed tissue sections. As an illustration, we analyze the spatial distribution of single mRNA molecules measured by in situ sequencing on human fetal pancreas at three developmental time points–80, 87 and 117 days post-fertilization. We develop a density profile-based method to capture the spatial relationship between gene expression and other morphological features of the tissue sample such as position of nuclei and endocrine cells of the pancreas. In addition, we build a statistical model to characterize correlations in the spatial distribution of the expression level among different genes. This model enables us to infer the inhibitory and clustering effects throughout different time points. Our analysis framework is applicable to a wide variety of spatially-resolved transcriptomic data to derive biological insights.
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| 9. |
- McGinn, Steven, et al.
(författare)
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New Technologies for DNA analysis-A review of the READNA Project.
- 2016
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Ingår i: New Biotechnology. - : Elsevier BV. - 1876-4347 .- 1871-6784.
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Forskningsöversikt (refereegranskat)abstract
- The REvolutionary Approaches and Devices for Nucleic Acid analysis (READNA) project received funding from the European Commission for 4 1/2 years. The objectives of the project revolved around technological developments in nucleic acid analysis. The project partners have discovered, created and developed a huge body of insights into nucleic acid analysis, ranging from improvements and implementation of current technologies to the most promising sequencing technologies that constitute a 3(rd) and 4(th) generation of sequencing methods with nanopores and in situ sequencing, respectively.
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| 10. |
- Mignardi, Marco, et al.
(författare)
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Bridging Histology and Bioinformatics : Computational analysis of spatially resolved transcriptomics
- 2017
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Ingår i: Proceedings of the IEEE. - 0018-9219 .- 1558-2256. ; 105:3, s. 530-541
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Tidskriftsartikel (refereegranskat)abstract
- It is well known that cells in tissue display a large heterogeneity in gene expression due to differences in cell lineage origin and variation in the local environment. Traditional methods that analyze gene expression from bulk RNA extracts fail to accurately describe this heterogeneity because of their intrinsic limitation in cellular and spatial resolution. Also, information on histology in the form of tissue architecture and organization is lost in the process. Recently, new transcriptome-wide analysis technologies have enabled the study of RNA molecules directly in tissue samples, thus maintaining spatial resolution and complementing histological information with molecular information important for the understanding of many biological processes and potentially relevant for the clinical management of cancer patients. These new methods generally comprise three levels of analysis. At the first level, biochemical techniques are used to generate signals that can be imaged by different means of fluorescence microscopy. At the second level, images are subject to digital image processing and analysis in order to detect and identify the aforementioned signals. At the third level, the collected data are analyzed and transformed into interpretable information by statistical methods and visualization techniques relating them to each other, to spatial distribution, and to tissue morphology. In this review, we describe state-of-the-art techniques used at all three levels of analysis. Finally, we discuss future perspective in this fast-growing field of spatially resolved transcriptomics.
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