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Journal articles on the topic 'Whole-transcriptome sequencing'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Streets, A. M., X. Zhang, C. Cao, et al. "Microfluidic single-cell whole-transcriptome sequencing." Proceedings of the National Academy of Sciences 111, no. 19 (2014): 7048–53. http://dx.doi.org/10.1073/pnas.1402030111.

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Hosokawa, Kohei, Sachiko Kajigaya, Keyvan Keyvanfar, et al. "Whole transcriptome sequencing identifies increasedCXCR2expression in PNH granulocytes." British Journal of Haematology 177, no. 1 (2017): 136–41. http://dx.doi.org/10.1111/bjh.14502.

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3

Yang, In Seok, and Sangwoo Kim. "Analysis of Whole Transcriptome Sequencing Data: Workflow and Software." Genomics & Informatics 13, no. 4 (2015): 119. http://dx.doi.org/10.5808/gi.2015.13.4.119.

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Petrini, Iacopo, Arun Rajan, Trung Pham, et al. "Whole Genome and Transcriptome Sequencing of a B3 Thymoma." PLoS ONE 8, no. 4 (2013): e60572. http://dx.doi.org/10.1371/journal.pone.0060572.

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5

Siezen, Roland J., Greer Wilson, and Tilman Todt. "Prokaryotic whole-transcriptome analysis: deep sequencing and tiling arrays." Microbial Biotechnology 3, no. 2 (2010): 125–30. http://dx.doi.org/10.1111/j.1751-7915.2010.00166.x.

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Ruan, Miaomiao, Jiying Liu, Xueyang Ren, et al. "Whole transcriptome sequencing analyses of DHA treated glioblastoma cells." Journal of the Neurological Sciences 396 (January 2019): 247–53. http://dx.doi.org/10.1016/j.jns.2018.11.027.

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7

Seliger, Sonja, Verena Geirhos, Torsten Haferlach, et al. "Comprehensive Analysis of MYC Translocations in Multiple Myeloma By Whole Genome Sequencing and Whole Transcriptome Sequencing." Blood 134, Supplement_1 (2019): 1774. http://dx.doi.org/10.1182/blood-2019-124704.

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Background 8q24 translocations leading to overexpression of MYC are an established prognostic marker in multiple myeloma (MM). Currently FISH (fluorescence in situ hybridization) on CD138+ enriched cell population is the standard diagnostic approach to evaluate the presence of 8q24 translocations. Due to the heterogeneity of breakpoints and technical issues the design of FISH probes is challenging and so far no single FISH assay is capable of detecting each translocation. Aims (1) Evaluation of the frequency of 8q24 translocations in MM by whole genome sequencing (WGS). (2) Determination of th

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Mueller, Heiko, Wencke Walter, Manja Meggendorfer, et al. "Can Whole Genome and Whole Transcriptome Sequencing Replace Standard Procedures in CLL Diagnostics?" Blood 142, Supplement 1 (2023): 1912. http://dx.doi.org/10.1182/blood-2023-185732.

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Background: The advantages of genome-wide sequencing approaches over conventional methods in CLL diagnostics are a matter of debate and exact guidelines for the application of next-generation sequencing in a diagnostic context are currently missing. Aim: Compare the accuracy of whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) in determining the presence of point mutations, IGHV mutational status (IGHVms), and chromosomal aberrations to conventional procedures in a clinical setting. Patients and Methods: The cohort comprised 317 CLL patients. Diagnosis was established foll

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Cirulli, Elizabeth T., Abanish Singh, Kevin V. Shianna, et al. "Screening the human exome: a comparison of whole genome and whole transcriptome sequencing." Genome Biology 11, no. 5 (2010): R57. http://dx.doi.org/10.1186/gb-2010-11-5-r57.

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Basu, Gargi D., Kevin Drenner, Audrey Ozols, et al. "Whole exome and transcriptome sequencing of colorectal and pancreatic cancer." Journal of Clinical Oncology 38, no. 15_suppl (2020): e15666-e15666. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e15666.

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e15666 Background: Integration of Whole Exome Sequencing (WES) into clinical cancer therapeutics has revolutionized medicine in recent years. DNA sequencing alone may miss clinically actionable variants or identify aberrations that are not being transcribed. In this study we investigated the utility of integrating DNA and RNA sequencing in clinical samples. Methods: A cohort of 32 patient samples were analyzed by WES and RNA sequencing. Differential expression analysis was performed using a cohort of controls. Pathway analysis was performed using Ingenuity Pathway Analysis. WES and RNA analysi

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Martin, Jeffrey, Wenhan Zhu, Karla D. Passalacqua, Nicholas Bergman, and Mark Borodovsky. "Bacillus anthracis genome organization in light of whole transcriptome sequencing." BMC Bioinformatics 11, Suppl 3 (2010): S10. http://dx.doi.org/10.1186/1471-2105-11-s3-s10.

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Tang, Wei, and Ludmila Prokunina-Olsson. "Whole transcriptome sequencing of normal and tumor bladder tissue samples." Genome Biology 12, Suppl 1 (2011): P23. http://dx.doi.org/10.1186/gb-2011-12-s1-p23.

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Li, H., H. H. Yang, Z. G. Sun, H. B. Tang, and J. K. Min. "Whole-transcriptome sequencing of knee joint cartilage from osteoarthritis patients." Bone & Joint Research 8, no. 7 (2019): 290–303. http://dx.doi.org/10.1302/2046-3758.87.bjr-2018-0297.r1.

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Objectives The aim of this study was to provide a comprehensive understanding of alterations in messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs) in cartilage affected by osteoarthritis (OA). Methods The expression profiles of mRNAs, lncRNAs, and circRNAs in OA cartilage were assessed using whole-transcriptome sequencing. Bioinformatics analyses included prediction and reannotation of novel lncRNAs and circRNAs, their classification, and their placement into subgroups. Gene ontology and pathway analysis were performed to identify differentially expressed genes

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Jiang, Zhihua, Xiang Zhou, Rui Li, et al. "Whole transcriptome analysis with sequencing: methods, challenges and potential solutions." Cellular and Molecular Life Sciences 72, no. 18 (2015): 3425–39. http://dx.doi.org/10.1007/s00018-015-1934-y.

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15

Hong, M., G. Kang, and K. Kim. "Genetic Alterations in Gists Using Whole Exome and Transcriptome Sequencing." Annals of Oncology 25 (September 2014): iv498. http://dx.doi.org/10.1093/annonc/mdu354.13.

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16

Gianfelici, Valentina, Sabina Chiaretti, Zeynep Kalender Atak, et al. "Whole Transcriptome Sequencing In Refractory T-Cell Acute Lymphoblastic Leukemia." Blood 122, no. 21 (2013): 350. http://dx.doi.org/10.1182/blood.v122.21.350.350.

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Abstract T-cell acute lymphoblastic leukemia (T-ALL) is a malignancy of the lymphoblasts committed to the T-cell lineage. Despite the therapeutic improvements witnessed over the years, ∼25% of children and ∼50% of adults still show a poor long-term outcome. While many recurrent oncogenic lesions have been identified through the characterization of chromosomal aberrations and candidate gene sequencing, several observations indicate that additional genetic alterations, not evident by conventional cytogenetics, might influence leukemogenesis and treatment outcome. Improvement of our knowledge in

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Ryu, D., H. J. Kim, J. G. Joung, et al. "Whole-exome sequencing and transcriptome analysis for IgM multiple myeloma." Clinical Lymphoma Myeloma and Leukemia 15 (September 2015): e106. http://dx.doi.org/10.1016/j.clml.2015.07.279.

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Tomaz, Victoria, and Paulo Campregher. "32. Whole transcriptome sequencing as a diagnostic tool for AML." Cancer Genetics 278-279 (November 2023): 10. http://dx.doi.org/10.1016/j.cancergen.2023.08.040.

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Hulley, Michaella, Thandiswa Ngcungcu, Michèle Ramsay, and Susan Williams. "Non-invasive harvesting of conjunctival cells for whole transcriptome sequencing." Experimental Eye Research 234 (September 2023): 109613. http://dx.doi.org/10.1016/j.exer.2023.109613.

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Ahmed, R., M. S. Hossain, S. M. T. Kabir, et al. "Whole transcriptome sequencing and analysis of jute (Corchorus olitorius) fiber cell." Journal of Bioscience and Agriculture Research 26, no. 02 (2020): 2204–010. http://dx.doi.org/10.18801/jbar.260220.269.

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The demand for products made by jute fiber is increasing day-by-day for its biodegradable nature regarding environmental concerns. To gain this opportunity correctly, the development of high yielding and improved fiber quality jute variety is essential for ensuring diversified use of jute fiber. The major developed jute varieties, so far, are the outcome of conventional breeding which is a very time consuming process. Improvement of fiber quality and yield through genetic modification approach is highly desired. However, very little is known about the molecular mechanism behind fiber cell form

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Ryu, Daeun, Tae-Min Kim, Yun-Hee Lee, and U.-Syn Ha. "Longitudinal Analyses of Mutational Subclonal Architecture and Tumor Subtypes in Recurrent Bladder Cancer." International Journal of Molecular Sciences 24, no. 9 (2023): 8418. http://dx.doi.org/10.3390/ijms24098418.

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Longitudinal tumor sequencing of recurrent bladder cancer (BC) can facilitate the investigation of BC progression-associated genomic and transcriptomic alterations. In this study, we analyzed 18 tumor specimens including distant and locoregional metastases obtained during tumor progression for five BC patients using whole-exome and transcriptome sequencing. Along with the substantial level of intratumoral mutational heterogeneity across the cases, we observed that clonal mutations were enriched with known BC driver genes and apolipoprotein B mRNA editing enzyme, catalytic polypeptide (APOBEC)-

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Sanchez-Villalobos, Maria, Eulalia Campos Baños, Elena Martínez-Balsalobre, et al. "Whole Blood Transcriptome Analysis in Congenital Anemia Patients." International Journal of Molecular Sciences 25, no. 21 (2024): 11706. http://dx.doi.org/10.3390/ijms252111706.

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Congenital anemias include a broad range of disorders marked by inherent abnormalities in red blood cells. These abnormalities include enzymatic, membrane, and congenital defects in erythropoiesis, as well as hemoglobinopathies such as sickle cell disease and thalassemia. These conditions range in presentation from asymptomatic cases to those requiring frequent blood transfusions, exhibiting phenotypic heterogeneity and different degrees of severity. Despite understanding their different etiologies, all of them have a common pathophysiological origin with congenital defects of erythropoiesis.

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Nadarajah, Niroshan, Erika Pelaez Coyotl, James Golden, et al. "Automated Disease Classification Using Whole Genome Sequencing (WGS) and Whole Transcriptome Sequencing (WTS) Data with Transparent Artificial Intelligence (AI)." Blood 138, Supplement 1 (2021): 275. http://dx.doi.org/10.1182/blood-2021-152970.

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Abstract Background: Currently, hematologic neoplasms are diagnosed using a combination of methods, which require complex equipment and highly skilled clinical laboratory scientists and technicians - scarce resources. WGS and WTS could streamline this process and become a singular method. Interpretation of WGS and WTS data in a diagnostic setting is extremely challenging due to the breadth of data and its high-dimensional data types. AI will be mandatory to identify clinically meaningful genetic patterns and produce unbiased diagnosis. Aim: Compute leukemia diagnosis using AI methods with WGS

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Wrzeszczynski, Kazimierz O., Heather Geiger, Sowmya T. Srinivasa, et al. "Abstract 757: Clinical interpretation and utility of whole genome and whole transcriptome sequencing for precision oncology." Cancer Research 82, no. 12_Supplement (2022): 757. http://dx.doi.org/10.1158/1538-7445.am2022-757.

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Abstract The New York Genome Center CLIA laboratory has been providing New York State approved molecular diagnostic whole genome and whole transcriptome sequencing (WGTS) since October 2018. Indications for testing are cancers (solid tumors or hematological malignancies) where a mutational profile from multiple genes would be informative for disease stratification, prognosis, treatment options or alternative treatments or clinical trials. Germline analysis for ACMG designated cancer predisposition variants also is performed for consented patients. To date we have provided clinical next generat

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Zheng, Juyun, Zeliang Zhang, Yajun Liang, et al. "Whole Transcriptome Sequencing Reveals Drought Resistance-Related Genes in Upland Cotton." Genes 13, no. 7 (2022): 1159. http://dx.doi.org/10.3390/genes13071159.

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China, particularly the cotton-growing province of Xinjiang, is experiencing acute agricultural water shortages, stifling the expansion of the cotton sector. Discovering drought resistance genes in cotton and generating high-quality, drought-resistant cotton varieties through molecular breeding procedures are therefore critical to the cotton industry’s success. The drought-resistant cotton variety Xinluzhong No. 82 and the drought-sensitive cotton variety Kexin No. 1 were utilised in this study to uncover a batch of drought-resistant candidate genes using whole transcriptome sequencing. The fo

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Arindrarto, Wibowo, Daniel M. Borràs, Ruben A. L. de Groen, et al. "Comprehensive diagnostics of acute myeloid leukemia by whole transcriptome RNA sequencing." Leukemia 35, no. 1 (2020): 47–61. http://dx.doi.org/10.1038/s41375-020-0762-8.

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AbstractAcute myeloid leukemia (AML) is caused by genetic aberrations that also govern the prognosis of patients and guide risk-adapted and targeted therapy. Genetic aberrations in AML are structurally diverse and currently detected by different diagnostic assays. This study sought to establish whole transcriptome RNA sequencing as single, comprehensive, and flexible platform for AML diagnostics. We developed HAMLET (Human AML Expedited Transcriptomics) as bioinformatics pipeline for simultaneous detection of fusion genes, small variants, tandem duplications, and gene expression with all infor

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Ghukasyan, L., G. Krasnov, L. Baidun, and T. Nasedkina. "PS1005 WHOLE-TRANSCRIPTOME SEQUENCING OF CYTOGENETICALLY NORMAL PEDIATRIC ACUTE MYELOID LEUKEMIA." HemaSphere 3, S1 (2019): 452. http://dx.doi.org/10.1097/01.hs9.0000562316.04098.aa.

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28

Li, Tao-Tao, Xiao-Yan Li, Li-Xin Jia, et al. "Whole Transcriptome Analysis of Hypertension Induced Cardiac Injury Using Deep Sequencing." Cellular Physiology and Biochemistry 38, no. 2 (2016): 670–82. http://dx.doi.org/10.1159/000438659.

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Background/Aims: Hypertension plays a critical role in the cardiac inflammation and injury. However, the mechanism of how hypertension causes the cardiac injury at a molecular level remains to be elucidated. Methods: RNA-Seq has been demonstrated to be an effective approach for transcriptome analysis, which is essential to reveal the molecular constituents of cells and tissues. In this study, we investigated the global molecular events associated with the mechanism of hypertension induced cardiac injury using RNA-Seq analysis. Results: Our results showed that totally 1,801 genes with different

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Macchini, Marina, Annalisa Astolfi, Valentina Indio, et al. "Whole-transcriptome paired-end sequencing and the pancreatic cancer genetic landscape." Journal of Clinical Oncology 31, no. 15_suppl (2013): 4048. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.4048.

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4048 Background: A deeper knowledge of the pancreatic cancer (PDAC) biology is needed to improve the prognosis of the disease. Methods: 17 PDAC samples were collected by ultrasound-guided biopsy used for DNA and RNA extraction. 14 samples were analyzed by high resolution copy number analysis (CNA) on Affymetrix SNP array 6.0 and with segmentation algorithm against a reference of 270 Ceu HapMap individuals (Partek Genomic Suite). 17 samples were analyzed by whole transcriptome massively parallel sequencing, performed at 75x2 bp on a HiScanSQ Illumina platform. An average of 7, 3x107 reads per s

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Kridel, Robert, Barbara Meissner, Sanja Rogic, et al. "Whole Transcriptome Sequencing Reveals Recurrent NOTCH1 Mutations in Mantle Cell Lymphoma." Blood 118, no. 21 (2011): 436. http://dx.doi.org/10.1182/blood.v118.21.436.436.

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Abstract Abstract 436 Background: Mantle cell lymphoma (MCL) is an aggressive subtype of non-Hodgkin's lymphoma that is characterized by the hallmark t(11;14)(q13;q32) translocation, as well as a high number of secondary chromosomal alterations. Further, a small number of genes such as TP53, ATM and CCND1 have been reported to be recurrently mutated in MCL, but do not fully explain the biology and do not adequately account for the wide spectrum of clinical manifestations, response to treatment and prognosis. The aim of this study was to discover new somatic mutations that could contribute to o

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Ikonnikova, A. Yu, Yu I. Ammour, A. V. Snezhkina, G. S. Krasnov, A. V. Kudryavtseva та T. V. Nasedkina. "Identification of Fusion Transcripts in Leukеmic Cells by Whole-Transcriptome Sequencing". Molecular Biology 52, № 2 (2018): 200–205. http://dx.doi.org/10.1134/s0026893318020048.

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Kridel, Robert, Barbara Meissner, Sanja Rogic, et al. "Whole transcriptome sequencing reveals recurrent NOTCH1 mutations in mantle cell lymphoma." Blood 119, no. 9 (2012): 1963–71. http://dx.doi.org/10.1182/blood-2011-11-391474.

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Abstract Mantle cell lymphoma (MCL), an aggressive subtype of non-Hodgkin lymphoma, is characterized by the hallmark translocation t(11;14)(q13;q32) and the resulting overexpression of cyclin D1 (CCND1). Our current knowledge of this disease encompasses frequent secondary cytogenetic aberrations and the recurrent mutation of a handful of genes, such as TP53, ATM, and CCND1. However, these findings insufficiently explain the biologic underpinnings of MCL. Here, we performed whole transcriptome sequencing on a discovery cohort of 18 primary tissue MCL samples and 2 cell lines. We found recurrent

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Lamb, Carla, Lahey Hospital, Medical Center, et al. "LUNG CANCER DETECTION VIA WHOLE-TRANSCRIPTOME RNA SEQUENCING OF NASAL EPITHELIUM." Chest 156, no. 4 (2019): A1091—A1092. http://dx.doi.org/10.1016/j.chest.2019.08.1005.

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34

Tanner, Elizabeth A., Tracy A. Kim, Melody A. Gary, et al. "Evaluating the Effects of Systemic, Exercise-Induced Skeletal Muscle Injury using Whole Transcriptome Sequencing." Journal of Immunology 200, no. 1_Supplement (2018): 42.14. http://dx.doi.org/10.4049/jimmunol.200.supp.42.14.

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Abstract Recent advances in next generation sequencing have dramatically reduced the cost of whole transcriptome sequencing to measure differential gene expression. Extreme physical performances represent a unique model for investigating the combined effects of oxidative stress and eccentric muscle contraction on systemic skeletal muscle injury outcomes. Studying changes in whole transcriptome RNA expression may allow identification of specific potential treatment targets for a variety of disease states associated with chronic inflammation and oxidative stress. The purpose of this study was to

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35

Oeck, Sebastian, Alicia I. Tüns, Sebastian Hurst, and Alexander Schramm. "Streamlining Quantitative Analysis of Long RNA Sequencing Reads." International Journal of Molecular Sciences 21, no. 19 (2020): 7259. http://dx.doi.org/10.3390/ijms21197259.

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Transcriptome analyses allow for linking RNA expression profiles to cellular pathways and phenotypes. Despite improvements in sequencing methodology, whole transcriptome analyses are still tedious, especially for methodologies producing long reads. Currently, available data analysis software often lacks cost- and time-efficient workflows. Although kit-based workflows and benchtop platforms for RNA sequencing provide software options, e.g., cloud-based tools to analyze basecalled reads, quantitative, and easy-to-use solutions for transcriptome analysis, especially for non-human data, are missin

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Li, Na, Mukaram Amatjan, Pengke He, Meiwei Wu, Hengxiu Yan, and Xiaoni Shao. "Whole transcriptome expression profiles in kidney samples from rats with hyperuricaemic nephropathy." PLOS ONE 17, no. 12 (2022): e0276591. http://dx.doi.org/10.1371/journal.pone.0276591.

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Hyperuricaemic nephropathy (HN) is a common clinical complication of hyperuricaemia (HUA) and poses a huge threat to human health. Hence, we aimed to prospectively investigate the dysregulated genes, pathways and networks involved in HN by performing whole transcriptome sequencing using RNA sequencing. Six kidney samples from HN group (n = 3) and a control group (n = 3) were obtained to conduct RNA sequencing. To disclose the relevant signalling pathways, we conducted the analysis of differentially expressed genes (DEGs), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) an

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Kim, Grace, Efthymia Papalexi, Peter Matulich, et al. "Abstract 226: Targeted transcriptome sequencing enables exponential scaling of combinatorial barcoding in AML samples." Cancer Research 83, no. 7_Supplement (2023): 226. http://dx.doi.org/10.1158/1538-7445.am2023-226.

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Abstract In the thirteen years since its inception, single-cell RNA-sequencing (scRNA-seq) has rapidly spread across multiple fields of research, leading to many new discoveries. As technologies have matured, the number of cells that can be processed in a single experiment has seen exponential growth with workflows now assaying up to one million cells in an individual experiment. While high throughput sequencing methods have facilitated the discovery and characterization of various cell types, sequencing costs can be prohibitively high for routine use. Many applications of scRNA-seq are focuse

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Orr, Brian, Robert P. Edwards, and Mackenzy Radolec. "Abstract 5789: Multi-omic artificial intelligence outcome modeling of ovarian cancer, phase I: Whole exome and whole transcriptome data." Cancer Research 82, no. 12_Supplement (2022): 5789. http://dx.doi.org/10.1158/1538-7445.am2022-5789.

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Abstract Background: Over a decade ago, the Cancer Genome Atlas (TCGA) provided the initial genomic characterization of ovarian cancer with targeted exome capture and sequencing. Unlike other TCGA analysis, they were unable to identify prognostic mutational profiles outside of BRCA status. There has been limited characterization of the ovarian cancer genomic profile since. Our objective presented here was to perform whole exome and whole transcriptome analysis of 241 ovarian cancer samples and compare to the TCGA dataset. This is the first phase of a muti-step ongoing analysis wherein we will

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Wu, Ting, Bin Liu, Tao Xiong, et al. "Mechanisms governing melon fruit skin pigmentation: Insights from transcriptome sequencing and whole-genome bisulfite sequencing analyses." Scientia Horticulturae 333 (July 2024): 113283. http://dx.doi.org/10.1016/j.scienta.2024.113283.

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Zhang, Haijin, Xue Song, Zongyan Teng, et al. "Key circular RNAs identified in male osteoporosis patients by whole transcriptome sequencing." PeerJ 9 (May 26, 2021): e11420. http://dx.doi.org/10.7717/peerj.11420.

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Background Osteoporosis (OP) is a systemic disease with bone loss and microstructural deterioration. Numerous noncoding RNAs (ncRNAs) have been proved to participate in various diseases, especially circular RNAs (circRNAs). However, the expression profile and mechanisms underlying circRNAs in male osteoporosis have not yet been explored. Methods The whole transcriptome expression profile and differences in mRNAs, circRNAs, and microRNAs (miRNAs) were investigated in peripheral blood samples of patients with osteoporosis and healthy controls consisting of males ≥ 60-years-old. Results A total o

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Li, J. "P358: COMPREHENSIVE DIAGNOSTICS OF ACUTE LYMPHOBLASTIC LEUKEMIA BY WHOLE TRANSCRIPTOME RNA SEQUENCING." HemaSphere 6 (June 2022): 258–59. http://dx.doi.org/10.1097/01.hs9.0000844320.70283.26.

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Park, Ha Young, Seung-Bok Lee, Hae-Yong Yoo, et al. "Whole-exome and transcriptome sequencing of refractory diffuse large B-cell lymphoma." Oncotarget 7, no. 52 (2016): 86433–45. http://dx.doi.org/10.18632/oncotarget.13239.

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Xu, Yanjie, Shan Gao, Yingjie Yang, et al. "Transcriptome sequencing and whole genome expression profiling of chrysanthemum under dehydration stress." BMC Genomics 14, no. 1 (2013): 662. http://dx.doi.org/10.1186/1471-2164-14-662.

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Huis in 't Veld, Robert Antonius Gerhardus, Antonius Marcellinus Willemsen, Antonius Hubertus Cornelis van Kampen та ін. "Deep Sequencing Whole Transcriptome Exploration of the σE Regulon in Neisseria meningitidis". PLoS ONE 6, № 12 (2011): e29002. http://dx.doi.org/10.1371/journal.pone.0029002.

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Louveau, B., F. Jouenne, A. Sadoux, et al. "Whole transcriptome sequencing: Optimizing molecular classification and management of rare skin cancers." EJC Skin Cancer 2 (2024): 100212. http://dx.doi.org/10.1016/j.ejcskn.2024.100212.

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Griffioen, M., W. Arindrarto, D. M. Borràs, et al. "PF262 COMPREHENSIVE DIAGNOSTICS OF ACUTE MYELOID LEUKEMIA BY WHOLE TRANSCRIPTOME RNA SEQUENCING." HemaSphere 3, S1 (2019): 83. http://dx.doi.org/10.1097/01.hs9.0000559260.80814.15.

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Sun, Jie, Jing Wang, Na Zhang, Renjun Yang, Keyang Chen, and Derun Kong. "Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA ‐sequencing analysis." FEBS Open Bio 9, no. 11 (2019): 1900–1908. http://dx.doi.org/10.1002/2211-5463.12724.

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48

Upadhyay, Rohit, and Vecihi Batuman. "Whole-Transcriptome Sequencing of Proximal Tubule Cells Exposed to Free Light Chains." Journal of the American Society of Nephrology 31, no. 10S (2020): 129. http://dx.doi.org/10.1681/asn.20203110s1129a.

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Gylfe, Alexandra E., Eve Shinbrot, Boyko Kakaradov, et al. "Tumor profiling from whole-genome and whole transcriptome sequencing to uncover gene fusions and structural variations in clinically relevant cancer genes." Journal of Clinical Oncology 35, no. 15_suppl (2017): e23118-e23118. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e23118.

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e23118 Background: Current targeted cancer therapies rely on the identification of clinically relevant somatic alterations in the tumor. Hotspot gene-panels and exome sequencing are designed to quickly assess somatic variations in frequently mutated regions and/or the coding regions of relevant genes, but they have limited ability to detect complex genomic rearrangements or novel structural variations. Here, we describe an integrative and comprehensive approach to fully characterize the genomic complexity of solid tumors using high throughput whole genome sequencing (WGS) and whole transcripto

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Tran, Nguyen H., Pankaj Vats, Dan R. Robinson, et al. "Integrative whole exome, transcriptome, and clinical profiling of biliary tract cancers (BTCs)." Journal of Clinical Oncology 36, no. 4_suppl (2018): 279. http://dx.doi.org/10.1200/jco.2018.36.4_suppl.279.

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279 Background: BTC is clinically and genomically heterogeneous and next generation sequencing may identify disease subsets with distinct prognostic and therapeutic implications. Methods: Patients (pts) with BTC underwent whole exome and transcriptome sequencing via the Michigan Oncology Sequencing (MI-ONCOSEQ) platform between 09/2011 and 07/2017. Results: 53 pts (47.2% female) with median age 60 (range 17-72) years had 38 intrahepatic, 6 perihilar, and 4 extrahepatic distal cholangiocarcinoma (CCA) while 3 had gallbladder and 2 mixed CCA/hepatocellular carcinoma. Forty-one pts (77.3%) had ad

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