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Innovation massively expands view into workings of single cells summary

Posted in CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, cancer-general, Cell Biology, Cell Biology, Signaling & Cell Circuits, Diagnostics and Lab Tests, single cell sequencing, tagged Cancer, cell fragments, DNA, DNA Sequencing, health, research, Single-cell sequencing on July 8, 2021| Leave a Comment »

Reporter: Danielle Smolyar, Research Assistant 3 – Text Analysis for 2.0 LPBI Group’s TNS #1 – 2020/2021 Academic Internship in Medical Test Analysis (MTA) Reporting on a Study published on July 6, 2021 by Oregon Health & Science University Recently, researchers have found many ways to manipulate and alter gene activity in specific cells. As a result […]

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Renal tumor macrophages linked to recurrence are identified using single-cell protein activity analysis

Posted in Artificial Intelligence in CANCER, Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Immuno-Oncology & Genomics, Metastasis Process, RNA Biology, Cancer and Therapeutics, Single-cell sequencing, tumor microenvironment, tagged cancer metastasis, cancer recurrence, immune cells, learning algorithms, renal cell carcinoma, single-cell RNA sequencing, tumor associated macrophage on May 27, 2021| 2 Comments »

Renal tumor macrophages linked to recurrence are identified using single-cell protein activity analysis Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc When malignancy returns after a period of remission, it is called a cancer recurrence. After the initial or primary cancer has been treated, this can happen weeks, months, or even years later. The possibility […]

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Yet another Success Story: Machine Learning to predict immunotherapy response

Posted in Artificial Intelligence - General, Artificial Intelligence Applications in Health Care, Artificial Intelligence in CANCER, Biomarkers & Medical Diagnostics, Cancer - General, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer-Immune Interactions, Glioblastoma, Immuno-Oncology & Genomics, Immunology, Immunotherapy, Machine Learning, RNA Biology, Cancer and Therapeutics, tumor microenvironment, tagged biomarkers, Cancer immunotherapy, cell-cell interactions, computational algorithms, immune inhibitory checkpoints, immuno-oncology therapeutics, Machine Learning models, mathematical model, PDL1/PD1 pathway, RNA sequencing, transcription factors, tumor microenvironment on July 6, 2021| 1 Comment »

Yet another Success Story: Machine Learning to predict immunotherapy response Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc Immune-checkpoint blockers (ICBs) immunotherapy appears promising for various cancer types, offering a durable therapeutic advantage. Only a number of cases with cancer respond to this therapy. Biomarkers are required to adequately predict the responses of patients. This […]

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Inhibitory CD161 receptor recognized as a potential immunotherapy target in glioma-infiltrating T cells by single-cell analysis

Posted in Anticancer Resistance, “Antibody–enzyme conjugates”, Biochemical pathways, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Cancer Screening, Cancer Vaccines: Targeting Cancer Genes for Immunotherapy, CRISPR alternative for editing genes without cutting, Etiology, Gene Therapy & Gene Editing Development, Genomic Expression, Glioblastoma, Immunology, Immunotherapy, Innovation in Immunology Diagnostics, Metastasis Process, mRNA Therapeutics, NK Cell-Based Cancer Immunotherapy, tagged antibody-drug conjugate, cancer biology, CD161, gene expression, Glioblastoma, IDH-mutant gliomas, immune checkpoint, Immunotherapy, RNA sequencing, single-cell RNA-seq, T cells on February 20, 2021| Leave a Comment »

Inhibitory CD161 receptor recognized as a potential immunotherapy target in glioma-infiltrating T cells by single-cell analysis Reporter: Dr. Premalata Pati, Ph.D., Postdoc Brain tumors, especially the diffused Gliomas are of the most devastating forms of cancer and have so-far been resistant to immunotherapy. It is comprehended that T cells can penetrate the glioma cells, […]

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Bioinformatic Tools For RNASeq: A Curation

Posted in Cancer - General, Cell Biology, Computational Biology/Systems and Bioinformatics, CRISPR alternative for editing genes without cutting, CRISPR/Cas9 & Gene Editing, Disease Biology, Meta-analysis of transcriptome data, RNA Biology, RNA Biology, Cancer and Therapeutics, tagged bioinformatic tools, Bioinformatics, Cancer, RNA sequencing, RNA-Seq, single cell, single-cell RNA sequencing, Transcriptomics on December 18, 2019| Leave a Comment »

Bioinformatic Tools for RNASeq: A Curation Curator: Stephen J. Williams, Ph.D. Note: This will be an ongoing curation as new information and tools become available. RNASeq is a powerful tool for the analysis of the transcriptome profile and has been used to determine the transcriptional changes occurring upon stimuli such as drug treatment or […]

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Complex rearrangements and oncogene amplification revealed by long-read DNA and RNA sequencing of a breast cancer cell line

Posted in Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Genomic Testing: Methodology for Diagnosis, Next Generation Sequencing (NGS), Single Cell Genomics, tagged 10X Genomics Pacific Biosciences, breast cancer, cancer variants, chromosomal abberation, disease variants, fusion genes, gene fusions, long read sequencing, mutational spectrum, next gen sequencing (NGS), oncogenes, sequencing methodology, Whole genome sequencing on August 14, 2019| Leave a Comment »

Complex rearrangements and oncogene amplification revealed by long-read DNA and RNA sequencing of a breast cancer cell line Reporter: Stephen J. Williams, PhD In a Genome Research report by Marie Nattestad et al. [1], the SK-BR-3 breast cancer cell line was sequenced using a long read single molecule sequencing protocol in order to develop one […]

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Single-cell RNA-seq helps in finding intra-tumoral heterogeneity in pancreatic cancer

Posted in Artificial Intelligence in CANCER, BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics, Biological Networks, Biological Networks, Gene Regulation and Evolution, Cancer - General, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Cancer Informatics, Cancer Prevention: Research & Programs, Cancer Screening, Cancer-Immune Interactions, Cell Biology, Cell Biology, Signaling & Cell Circuits, Immuno-Oncology & Genomics, Meta-analysis of transcriptome data, mRNA platform in Drug DIscovery, Pancreatic adenocarcinoma classifier, Pancreatic cancer, Precision Cancer Medicine, RNA Biology, RNA Biology, Cancer and Therapeutics, Single-cell sequencing, Transcriptomics, tagged heterogeneity, Pancreatic cancer, pancreatic ductal adenocarcinoma, single-cell RNA sequencing, transcription on July 21, 2019| Leave a Comment »

Single-cell RNA-seq helps in finding intra-tumoral heterogeneity in pancreatic cancer Reporter and Curator: Dr. Sudipta Saha, Ph.D. 4.3.6 Single-cell RNA-seq helps in finding intra-tumoral heterogeneity in pancreatic cancer, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 4: Single Cell Genomics Pancreatic cancer […]

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First Cost-Effectiveness Study of Multi-Gene Panel Sequencing in Advanced Non-Small Cell Lung Cancer Shows Moderate Cost-Effectiveness, Exposes Crucial Practice Gap

Posted in Cancer and Current Therapeutics, Cancer Informatics, Genetics & Innovations in Treatment, Genetics & Pharmaceutical, Genome Biology, Genomic Expression, Genomic Testing: Methodology for Diagnosis, Genomics Pharmacy, Mutagenesis, Personalized and Precision Medicine & Genomic Research on June 27, 2019| Leave a Comment »

First Cost-Effectiveness Study of Multi-Gene Panel Sequencing in Advanced Non-Small Cell Lung Cancer Shows Moderate Cost-Effectiveness, Exposes Crucial Practice Gap WASHINGTON (June 27, 2019) — The results of the first economic modeling study to estimate the cost-effectiveness of “multi-gene panel sequencing” (MGPS) as compared to standard-of-care, single-gene tests for patients with advanced non-small cell lung […]

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#TUBiol5227: Biomarkers & Biotargets: Genetic Testing and Bioethics

Posted in and Bioethics, Bio-Ethics, BioBanking, BioIT: BioInformatics, BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics, Biological Networks, Biomarkers & Medical Diagnostics, BioSimilars, Biotechnology, BioTechnology - Venture Creation, Cancer and Current Therapeutics, Cancer Genomics, Clinical Diagnostics, Clinical Genomics, Conference Coverage with Social Media, Ethics and Leadership, FDA, FDA Regulatory Affairs, Federal Budget Appropriations, Health Economics and Outcomes Research, Health Law Policy, Healthcare costs and reimbursement, Intellectual Property, Innovations, Commercialization, Investment in technological breakthrough, interventional oncology, Next Generation Sequencing (NGS), Patent Law in Biotech, Patents, Patient Experience, Personal Health Applications: Tech Innovations serves HealhCare, Personalized and Precision Medicine & Genomic Research, Personalized Medicine Coalition, Precision Cancer Medicine, Regulated Clinical Trials: Design, Methods, Components and IRB related issues, Voices of Patients and Healthcare Providers, tagged #TUBiol5227, bioethics, biomarkers, Drug development, FDA, healthcare, insurers, legal, Patient, payers, physician-patient, Regulatory on September 28, 2021| Leave a Comment »

#TUBiol5227: Biomarkers & Biotargets: Genetic Testing and Bioethics Curator: Stephen J. Williams, Ph.D. The advent of direct to consumer (DTC) genetic testing and the resultant rapid increase in its popularity as well as companies offering such services has created some urgent and unique bioethical challenges surrounding this niche in the marketplace. At first, most DTC […]

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Cancer Genomics: Multiomic Analysis of Single Cells and Tumor Heterogeneity

Posted in Anticancer Resistance, Artificial Intelligence - General, Bio-MEMS, Biological Networks, Biological Networks, Gene Regulation and Evolution, Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cell Biology, Cell Biology, Signaling & Cell Circuits, Gene Regulation, Genome Biology, Methylation, Single Cell Genomics, Single-cell sequencing, tagged colon cancer, diagnostic genomics, DNA methylation, Omics, single cell, Single Cell Genomics, Transcriptomics on October 15, 2019| Leave a Comment »

Cancer Genomics: Multiomic Analysis of Single Cells and Tumor Heterogeneity Curator: Stephen J. Williams, PhD 4.3.7 Cancer Genomics: Multiomic Analysis of Single Cells and Tumor Heterogeneity, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 4: Single Cell Genomics scTrio-seq identifies colon cancer lineages Single-cell […]