Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection. To use an unbiased approach to identify regulators of colon cancer metastasis, we transduced a population of colon cancer cells, WiDR, with a lenti-miR library comprising of 661 human miRNAs, such that each individual cells over-express a single miRNA. The heterogenous population is then injected into the liver of immunodeficient mice. We theorized that cells over-expressing miRNAs that modulate colon cancer metastais will have differential representation in the whole population compared to a reference pool of cells. miRNAs that suppressed colon cancer metastasis will be lost in the resulting pool, while miRNAs that promote metastasis will be over-represented compared to the reference pool. Replicate pools of cells were transduced and injected into mice. After a period of 3-5 weeks, liver nodules were taken out and processed for lenti-viral derived miRNA profiling (Post samples) and compared to the reference pool of cells that were not injected into the mice (Pre Samples). The changes in miRNA representation between cells that underwent liver colonization were analyzed.
Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection. To use an unbiased approach to identify regulators of colon cancer metastasis, we transduced a population of colon cancer cells, SW620, with a lenti-miR library comprising of 661 human miRNAs, such that each individual cells over-express a single miRNA. The heterogenous population is then injected into the liver of immunodeficient mice. We theorized that cells over-expressing miRNAs that modulate colon cancer metastais will have differential representation in the whole population compared to a reference pool of cells. miRNAs that suppressed colon cancer metastasis will be lost in the resulting pool, while miRNAs that promote metastasis will be over-represented compared to the reference pool. Replicate pools of cells were transduced and injected into mice. After a period of 3-5 weeks, liver nodules were taken out and processed for lenti-viral derived miRNA profiling (Post samples) and compared to the reference pool of cells that were not injected into the mice (Pre Samples). The changes in miRNA representation between cells that underwent liver colonization were analyzed.
Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection.
Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection.
Project description:To characterize the primary and recall responses to EV71 vaccines, PBMC from 19 recipients before and after vaccination with EV71 vaccine are collected and their gene expression signatures after stimulation with EV71 antigen were compared. Four-condition experiment,pre-vaccination PBMCs (stimulation vs. no stimulation with EV71 antigen) vs. post-vaccination PBMCs (stimulation vs. no stimulation with EV71 antigen)
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression. Two-condition experiment, Normoxic MSCs vs. Hypoxic MSCs.
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.