RNAseq, transcriptome analysis and identification of DEGs involved in development and ripening of Fragaria chiloensis fruit by Carlos Gaete-Eastman, Yazmina Stappung, Sebastián Molinett, Daniela Urbina, María Alejandra Moya-Leon, Raúl Herrera

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The complete Campylobacter jejuni transcriptome during colonization of a natural host determined by RNAseq. by Michael E Taveirne, Casey M Theriot, Jonathan Livny, Victor J DiRita

“…In addition to its use in profiling the abundance of annotated genes, RNAseq is a powerful tool for identifying and quantifying, as-of-yet, unknown transcripts including non-coding regulatory RNAs, 5' untranslated regulatory elements, and anti-sense transcripts. …”
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Analysis of single‐cell RNAseq identifies transitional states of T cells associated with hepatocellular carcinoma by Yanying Yang, Fangming Liu, Weiren Liu, Mingyue Ma, Jie Gao, Yan Lu, Li‐Hao Huang, Xiaoying Li, Yinghong Shi, Xiangdong Wang, Duojiao Wu

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RNASeq data from Indonesian recalcitrant and non-recalcitrant rice varieties on anther culture by Siti Fatimah, Mohammad Syafii, Siti Zulaeha, Mega Dewi Haristianita, Devit Purwoko

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Evaluation of an RNAseq-Based Immunogenomic Liquid Biopsy Approach in Early-Stage Prostate Cancer by Leander Van Neste, Kirk J. Wojno, Ricardo Henao, Shrikant Mane, Howard Korman, Jason Hafron, Kenneth Kernen, Rima Tinawi-Aljundi, Mathew Putzi, Amin I. Kassis, Philip W. Kantoff

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Insights Gained and Future Outlook From scRNAseq Studies in Autoimmune Rheumatic Diseases by Zihan Zheng, Zihan Zheng, Ling Chang, Jingyi Li, Yuzhang Wu, Guangxing Chen, Liyun Zou

“…In this review, we discuss the major insights gained from current scRNAseq interrogations of human rheumatic diseases. …”
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RNAseq Reveals Complex Response of Campylobacter jejuni to Ovine Bile and In vivo Gallbladder Environment by Amanda J. Kreuder, Amanda J. Kreuder, Jennifer A. Schleining, Michael Yaeger, Qijing Zhang, Paul J. Plummer, Paul J. Plummer

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Dual RNAseq highlights the kinetics of skin microbiome and fish host responsiveness to bacterial infection by J. Le Luyer, Q. Schull, P. Auffret, P. Lopez, M. Crusot, C. Belliard, C. Basset, Q. Carradec, J. Poulain, S. Planes, D. Saulnier

“…Here, we applied complementary omic approaches, including dual RNAseq and 16S rRNA gene metabarcoding sequencing using Nanopore and short-read Illumina technologies to unravel the host–pathogen interplay in an experimental infection system using the tropical fish Platax orbicularis as model. …”
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Large scale comparison of gene expression levels by microarrays and RNAseq using TCGA data. by Yan Guo, Quanhu Sheng, Jiang Li, Fei Ye, David C Samuels, Yu Shyr

“…RNAseq and microarray methods are frequently used to measure gene expression level. …”
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Pathogenic neurofibromatosis type 1 (NF1) RNA splicing resolved by targeted RNAseq by R. Koster, R. D. Brandão, D. Tserpelis, C. E. P. van Roozendaal, C. N. van Oosterhoud, K. B. M. Claes, A. D. C. Paulussen, M. Sinnema, M. Vreeburg, V. van der Schoot, C. T. R. M. Stumpel, M. P. G. Broen, L. Spruijt, M. C. J. Jongmans, S. A. J. Lesnik Oberstein, A. S. Plomp, M. Misra-Isrie, F. A. Duijkers, M. J. Louwers, R. Szklarczyk, K. W. J. Derks, H. G. Brunner, A. van den Wijngaard, M. van Geel, M. J. Blok

“…Therefore, a targeted RNAseq-based approach was designed to detect pathogenic RNA splicing and associated pathogenic DNA variants. …”
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Targeted RNAseq Improves Clinical Diagnosis of Very Early-Onset Pediatric Immune Dysregulation by Kiera Berger, Dalia Arafat, Shanmuganathan Chandrakasan, Scott B. Snapper, Greg Gibson

Subjects: “…RNAseq…”
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NormQ: RNASeq normalization based on RT-qPCR derived size factors by Ravindra Naraine, Pavel Abaffy, Monika Sidova, Silvie Tomankova, Kseniia Pocherniaieva, Ondrej Smolik, Mikael Kubista, Martin Psenicka, Radek Sindelka

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Eosinophil scRNAseq data from patients with asthma before and after mepolizumab treatment by Luo, J

“…scRNAseq of eosinophils from patients with asthma at the baseline and 1-month after 1st dose of mepolizumab injection was performed using plate-based system (Smart-Seq2). …”

Novel RNAseq-Informed Cell-type Markers and Their Regulation Alter Paradigms of Dictyostelium Developmental Control by Gillian Forbes, Zhi-Hui Chen, Koryu Kin, Koryu Kin, Pauline Schaap

Subjects: “…cell-type specific RNAseq…”
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RNAseq revealed the important gene pathways controlling adaptive mechanisms under waterlogged stress in maize by Kanika Arora, Kusuma Kumari Panda, Shikha Mittal, Mallana Gowdra Mallikarjuna, Atmakuri Ramakrishna Rao, Prasanta Kumar Dash, Nepolean Thirunavukkarasu

“…SNPs were mapped to the DEGs regulating aerenchyma formation (12), ethylene-responsive factors (11), and glycolysis (4) under stress. RNAseq derived SNPs can be used in selection approaches to breed tolerant hybrids. …”
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The Cellular Composition of Bovine Coccygeal Intervertebral Discs: A Comprehensive Single-Cell RNAseq Analysis by Martina Calió, Benjamin Gantenbein, Marcel Egli, Lucy Poveda, Fabian Ille

“…We used single-cell RNA sequencing (scRNAseq) coupled to bulk RNA sequencing (RNAseq) to unravel the cell populations in these two structures and analyze developmental changes across the rostrocaudal axis. …”
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Resolving Transcriptional States and Predicting Lineages in the Annelid Capitella teleta Using Single-Cell RNAseq by Abhinav Sur, Néva P. Meyer

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OneStopRNAseq: A Web Application for Comprehensive and Efficient Analyses of RNA-Seq Data by Rui Li, Kai Hu, Haibo Liu, Michael R. Green, Lihua Julie Zhu

“…To maximize the capitalization of these vast public resources and facilitate the analysis of RNA-seq data by biologists, we developed a web application called OneStopRNAseq for the one-stop analysis of RNA-seq data. …”
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RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance by Timothy A. McCaffrey, Ian Toma, Zhaoqing Yang, Richard Katz, Jonathan Reiner, Ramesh Mazhari, Palak Shah, Zachary Falk, Richard Wargowsky, Jennifer Goldman, Dan Jones, Dmitry Shtokalo, Denis Antonets, Tisha Jepson, Anastasia Fetisova, Kevin Jaatinen, Natalia Ree, Maxim Ri

“…Results: The correlation between Illumina amplified RNAseq and the prior SeqLL unamplified RNAseq was quite strong (r = 0.87), but there was only 9 % overlap in the DEGs identified. …”
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Single-cell and bulk RNAseq unveils the immune infiltration landscape and targeted therapeutic biomarkers of psoriasis by Wenhui Deng, Wenhui Deng, Yijiao Yan, Yijiao Yan, Chengzhi Shi, Chengzhi Shi, Daoshun Sui

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