Log in

Relevant bibliographies by topics / Single-cell RNA / Journal articles

To see the other types of publications on this topic, follow the link: Single-cell RNA.

Journal articles on the topic 'Single-cell RNA'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Single-cell RNA.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Tang, Lei. "Improving single-cell RNA counting." Nature Methods 17, no. 7 (2020): 656. http://dx.doi.org/10.1038/s41592-020-0901-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Nomura, Akihiro, and Hideo Matsuda. "Identification of Lineage Markers for T Cell Immune Dysregulation in Sarcoidosis Using Single-Cell RNA-seq." International Journal of Bioscience, Biochemistry and Bioinformatics 12, no. 4 (2022): 63–70. http://dx.doi.org/10.17706/ijbbb.2022.12.4.63-70.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Torre, Eduardo, Hannah Dueck, Sydney Shaffer, et al. "Rare Cell Detection by Single-Cell RNA Sequencing as Guided by Single-Molecule RNA FISH." Cell Systems 6, no. 2 (2018): 171–79. http://dx.doi.org/10.1016/j.cels.2018.01.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Verboom, Karen, Celine Everaert, Nathalie Bolduc, et al. "SMARTer single cell total RNA sequencing." Nucleic Acids Research 47, no. 16 (2019): e93-e93. http://dx.doi.org/10.1093/nar/gkz535.

Full text

Abstract:

Abstract Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity. Nevertheless, most of these methods suffer from one or more limitations, such as focusing only on polyadenylated RNA, sequencing of only the 3′ end of the transcript, an exuberant fraction of reads mapping to ribosomal RNA, and the unstranded nature of the sequencing data. Here, we developed a novel single cell strand-specific total RNA library preparation method addressing all the aforementioned shortcomings. Our method was validated on a microfluidics system using three different can

APA, Harvard, Vancouver, ISO, and other styles

5

Svensson, Valentine, and Lior Pachter. "RNA Velocity: Molecular Kinetics from Single-Cell RNA-Seq." Molecular Cell 72, no. 1 (2018): 7–9. http://dx.doi.org/10.1016/j.molcel.2018.09.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Cao, Yirui, Yue Qiu, Guowei Tu, and Cheng Yang. "Single-cell RNA Sequencing in Immunology." Current Genomics 21, no. 8 (2020): 564–75. http://dx.doi.org/10.2174/1389202921999201020203249.

Full text

Abstract:

The complex immune system is involved in multiple pathological processes. Single-cell RNA sequencing (scRNA-seq) is able to analyze complex cell mixtures correct to a single cell and single molecule, thus is qualified to analyze immune reactions in several diseases. In recent years, scRNA-seq has been applied in many researching fields and has presented many innovative results. In this review, we intend to provide an overview of single-cell RNA sequencing applications in immunology and a prospect of future directions.

APA, Harvard, Vancouver, ISO, and other styles

7

Denyer, Tom, and Marja C. P. Timmermans. "High-throughput single-cell RNA sequencing." Trends in Plant Science 27, no. 1 (2022): 104–5. http://dx.doi.org/10.1016/j.tplants.2021.09.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Zahn, Laura M. "Single-cell chromatin and RNA analysis." Science 361, no. 6409 (2018): 1350.2–1350. http://dx.doi.org/10.1126/science.361.6409.1350-b.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Chambers, Daniel C., Alan M. Carew, Samuel W. Lukowski, and Joseph E. Powell. "Transcriptomics and single‐cell RNA‐sequencing." Respirology 24, no. 1 (2018): 29–36. http://dx.doi.org/10.1111/resp.13412.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Mayer, Simone, Shokoufeh Khakipoor, Maxim A. Drömer, and Daniel A. Cozetto. "Single-cell RNA-Sequencing in Neuroscience." Neuroforum 25, no. 4 (2019): 251–58. http://dx.doi.org/10.1515/nf-2019-0021.

Full text

Abstract:

Summary Technical innovations in the last decade have allowed to sequence transcriptomes of single cells. Single-cell RNA-sequencing (scRNA-seq) has since then opened the window to a deeper understanding of cellular identity and is becoming a widely used method in molecular biology. In neuroscience, scRNA-seq has broad applications, for example in determining cellular diversity in different brain regions and in revealing transcriptomic variations across brain disorders. The method consists of several steps: isolation and lysis of single cells, reverse transcription of RNAs, amplification of cD

APA, Harvard, Vancouver, ISO, and other styles

11

Crow, Megan, and Jesse Gillis. "Single cell RNA-sequencing: replicability of cell types." Current Opinion in Neurobiology 56 (June 2019): 69–77. http://dx.doi.org/10.1016/j.conb.2018.12.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Alemany, Anna. "Cell differentiation unravelled by single-cell RNA sequencing." Europhysics News 51, no. 5 (2020): 31–34. http://dx.doi.org/10.1051/epn/2020505.

Full text

Abstract:

All of us originate from a single cell, known as the zygote. Nevertheless, we are made of thousands of cells with different functionalities and morphologies: a skin cell is not the same as a neuron, yet they share the same genetic information. It is during embryo development that, through multiple cell divisions, the zygote gives rise to each of the cell types present in the different organs of each organism. One main challenge of developmental biology is to understand how, when, and where lineage commitment to each cell type takes place.

APA, Harvard, Vancouver, ISO, and other styles

13

Chen, Renchao, Xiaoji Wu, Lan Jiang, and Yi Zhang. "Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity." Cell Reports 18, no. 13 (2017): 3227–41. http://dx.doi.org/10.1016/j.celrep.2017.03.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Shi, Qianqian, Xinxing Li, Qirui Peng, Chuanchao Zhang, and Luonan Chen. "scDA: Single cell discriminant analysis for single-cell RNA sequencing data." Computational and Structural Biotechnology Journal 19 (2021): 3234–44. http://dx.doi.org/10.1016/j.csbj.2021.05.046.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Abedini-Nassab, Roozbeh, Fatemeh Taheri, Ali Emamgholizadeh, and Hossein Naderi-Manesh. "Single-Cell RNA Sequencing in Organ and Cell Transplantation." Biosensors 14, no. 4 (2024): 189. http://dx.doi.org/10.3390/bios14040189.

Full text

Abstract:

Single-cell RNA sequencing is a high-throughput novel method that provides transcriptional profiling of individual cells within biological samples. This method typically uses microfluidics systems to uncover the complex intercellular communication networks and biological pathways buried within highly heterogeneous cell populations in tissues. One important application of this technology sits in the fields of organ and stem cell transplantation, where complications such as graft rejection and other post-transplantation life-threatening issues may occur. In this review, we first focus on researc

APA, Harvard, Vancouver, ISO, and other styles

16

Zhang, Kai, Min Gao, Zechen Chong, et al. "Single-cell isolation by a modular single-cell pipette for RNA-sequencing." Lab on a Chip 16, no. 24 (2016): 4742–48. http://dx.doi.org/10.1039/c6lc01241h.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Chen, Jiani, Wanzi Xiao, Eric Zhang, and Xiang Chen. "Abstract 4943: Benchmarking unpaired single-cell RNA and single-cell ATAC integration." Cancer Research 84, no. 6_Supplement (2024): 4943. http://dx.doi.org/10.1158/1538-7445.am2024-4943.

Full text

Abstract:

Abstract The integration of single-cell RNA-sequencing (scRNA-seq) and single-cell ATAC-sequencing (scATAC-seq) data offers a unique opportunity to gain a comprehensive view of cellular identity with defining features and to infer gene-regulatory relationships. Despite the emergence of technologies that simultaneously capture both the gene expression and chromatin accessibility of individual cells (paired data), the practical challenges of these approaches (e.g., the unavailability in previous samples and prohibitive cost) have led researchers to turn to the existing trove of single-modality d

APA, Harvard, Vancouver, ISO, and other styles

18

Zhao, Xinlei, Shuang Wu, Nan Fang, Xiao Sun, and Jue Fan. "Evaluation of single-cell classifiers for single-cell RNA sequencing data sets." Briefings in Bioinformatics 21, no. 5 (2019): 1581–95. http://dx.doi.org/10.1093/bib/bbz096.

Full text

Abstract:

Abstract Single-cell RNA sequencing (scRNA-seq) has been rapidly developing and widely applied in biological and medical research. Identification of cell types in scRNA-seq data sets is an essential step before in-depth investigations of their functional and pathological roles. However, the conventional workflow based on clustering and marker genes is not scalable for an increasingly large number of scRNA-seq data sets due to complicated procedures and manual annotation. Therefore, a number of tools have been developed recently to predict cell types in new data sets using reference data sets.

APA, Harvard, Vancouver, ISO, and other styles

19

Ding, Bo, Lina Zheng, and Wei Wang. "Assessment of Single Cell RNA-Seq Normalization Methods." G3 Genes|Genomes|Genetics 7, no. 7 (2017): 2039–45. http://dx.doi.org/10.1534/g3.117.040683.

Full text

Abstract:

Abstract We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in External RNA Control Consortium (ERCC) RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in single cell RNA-seq data.

APA, Harvard, Vancouver, ISO, and other styles

20

Wu, Ye Emily, Lin Pan, Yanning Zuo, Xinmin Li, and Weizhe Hong. "Detecting Activated Cell Populations Using Single-Cell RNA-Seq." Neuron 96, no. 2 (2017): 313–29. http://dx.doi.org/10.1016/j.neuron.2017.09.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Papalexi, Efthymia, and Rahul Satija. "Single-cell RNA sequencing to explore immune cell heterogeneity." Nature Reviews Immunology 18, no. 1 (2017): 35–45. http://dx.doi.org/10.1038/nri.2017.76.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Stevenson, David J., Frank J. Gunn-Moore, Paul Campbell, and Kishan Dholakia. "Single cell optical transfection." Journal of The Royal Society Interface 7, no. 47 (2010): 863–71. http://dx.doi.org/10.1098/rsif.2009.0463.

Full text

Abstract:

The plasma membrane of a eukaryotic cell is impermeable to most hydrophilic substances, yet the insertion of these materials into cells is an extremely important and universal requirement for the cell biologist. To address this need, many transfection techniques have been developed including viral, lipoplex, polyplex, capillary microinjection, gene gun and electroporation. The current discussion explores a procedure called optical injection, where a laser field transiently increases the membrane permeability to allow species to be internalized. If the internalized substance is a nucleic acid,

APA, Harvard, Vancouver, ISO, and other styles

23

Han, Jincheng, Ronald A. DePinho, and Anirban Maitra. "Single-cell RNA sequencing in pancreatic cancer." Nature Reviews Gastroenterology & Hepatology 18, no. 7 (2021): 451–52. http://dx.doi.org/10.1038/s41575-021-00471-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Lee, Hae-Ock, and Woong-Yang Park. "Single-cell RNA-Seq unveils tumor microenvironment." BMB Reports 50, no. 6 (2017): 283–84. http://dx.doi.org/10.5483/bmbrep.2017.50.6.086.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Ma, Shi-Xun, and Su Bin Lim. "Single-Cell RNA Sequencing in Parkinson’s Disease." Biomedicines 9, no. 4 (2021): 368. http://dx.doi.org/10.3390/biomedicines9040368.

Full text

Abstract:

Single-cell and single-nucleus RNA sequencing (sc/snRNA-seq) technologies have enhanced the understanding of the molecular pathogenesis of neurodegenerative disorders, including Parkinson’s disease (PD). Nonetheless, their application in PD has been limited due mainly to the technical challenges resulting from the scarcity of postmortem brain tissue and low quality associated with RNA degradation. Despite such challenges, recent advances in animals and human in vitro models that recapitulate features of PD along with sequencing assays have fueled studies aiming to obtain an unbiased and global

APA, Harvard, Vancouver, ISO, and other styles

26

Kotsiliti, Eleni. "Single-cell RNA-seq keeps cells alive." Nature Biotechnology 40, no. 10 (2022): 1432. http://dx.doi.org/10.1038/s41587-022-01515-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Kim, Nayoung, Hye Hyeon Eum, and Hae-Ock Lee. "Clinical Perspectives of Single-Cell RNA Sequencing." Biomolecules 11, no. 8 (2021): 1161. http://dx.doi.org/10.3390/biom11081161.

Full text

Abstract:

The ability of single-cell genomics to resolve cellular heterogeneity is highly appreciated in cancer and is being exploited for precision medicine. In the recent decade, we have witnessed the incorporation of cancer genomics into the clinical decision-making process for molecular-targeted therapies. Compared with conventional genomics, which primarily focuses on the specific and sensitive detection of the molecular targets, single-cell genomics addresses intratumoral heterogeneity and the microenvironmental components impacting the treatment response and resistance. As an exploratory tool, si

APA, Harvard, Vancouver, ISO, and other styles

28

Williams, Jesse W., Holger Winkels, Christopher P. Durant, Konstantin Zaitsev, Yanal Ghosheh, and Klaus Ley. "Single Cell RNA Sequencing in Atherosclerosis Research." Circulation Research 126, no. 9 (2020): 1112–26. http://dx.doi.org/10.1161/circresaha.119.315940.

Full text

Abstract:

Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including atherosclerotic plaques. New subsets of cells have been discovered among cell types previously considered homogenous. The commercial availability of systems to obtain transcriptomes and matching surface phenotypes from thousands of single cells is rapidly changing our understanding of cell types and lineage identity. Emerging methods to infer cellular functions are beginning to shed new light on the in

APA, Harvard, Vancouver, ISO, and other styles

29

Todorovic, Vesna. "Single-cell RNA-seq—now with protein." Nature Methods 14, no. 11 (2017): 1028–29. http://dx.doi.org/10.1038/nmeth.4488.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Chen, Haide, Fang Ye, and Guoji Guo. "Revolutionizing immunology with single-cell RNA sequencing." Cellular & Molecular Immunology 16, no. 3 (2019): 242–49. http://dx.doi.org/10.1038/s41423-019-0214-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Zahn, Laura M. "RNA life span at single-cell resolution." Science 367, no. 6482 (2020): 1086.5–1087. http://dx.doi.org/10.1126/science.367.6482.1086-e.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Hie, Brian, Joshua Peters, Sarah K. Nyquist, Alex K. Shalek, Bonnie Berger, and Bryan D. Bryson. "Computational Methods for Single-Cell RNA Sequencing." Annual Review of Biomedical Data Science 3, no. 1 (2020): 339–64. http://dx.doi.org/10.1146/annurev-biodatasci-012220-100601.

Full text

Abstract:

Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive novel biological insights. Here, we outline the components of scRNA-seq analytical pipelines and the computational methods that underlie these steps. We describe available methods, highlight well-executed benchmarking studies, and identify opportunities for additional benchmarking studies and computational methods. As the biochemical approaches for single-cell omics advance, we propo

APA, Harvard, Vancouver, ISO, and other styles

33

Macosko, Evan Z. "Single-cell RNA sequencing at isoform resolution." Nature Biotechnology 38, no. 6 (2020): 697–98. http://dx.doi.org/10.1038/s41587-020-0553-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Baran-Gale, Jeanette, Tamir Chandra, and Kristina Kirschner. "Experimental design for single-cell RNA sequencing." Briefings in Functional Genomics 17, no. 4 (2017): 233–39. http://dx.doi.org/10.1093/bfgp/elx035.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Zhu, Yue, Yaohui Huang, Yun Tan, Weili Zhao, and Qiang Tian. "Single‐Cell RNA Sequencing in Hematological Diseases." PROTEOMICS 20, no. 13 (2020): 1900228. http://dx.doi.org/10.1002/pmic.201900228.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Hyde, Thomas, Fernando Goes, and Gustavo Turecki. "SINGLE CELL RNA SEQUENCING IN MOOD DISORDERS." European Neuropsychopharmacology 75 (October 2023): S23—S24. http://dx.doi.org/10.1016/j.euroneuro.2023.08.052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Grimes, H. Leighton, Singh Harinder, Andre Olsson, Nathan Salomonis, Bruce J. Aronow, and Viren Chaudhry. "Single Cell RNA seq for Analysis of Cell Fate Decisions." Blood 126, no. 23 (2015): SCI—20—SCI—20. http://dx.doi.org/10.1182/blood.v126.23.sci-20.sci-20.

Full text

Abstract:

Abstract Single-cell RNA-Seq has the potential to become a dominant approach in probing diverse and complex developmental compartments. Its unbiased and comprehensive nature could enable developmental ordering of cellular and regulatory gene hierarchies without prior knowledge. To test general utility we performed single-cell RNA-seq of murine hematopoietic progenitors focusing on the myeloid developmental hierarchy. Using novel unsupervised clustering analysis, ICDS, we correctly ordered known hierarchical states as well as revealed rare intermediates. Regulatory state analysis suggested that

APA, Harvard, Vancouver, ISO, and other styles

38

Zhang, Yinan, Xiaowei Xie, Peng Wu, and Ping Zhu. "SIEVE: identifying robust single cell variable genes for single-cell RNA sequencing data." Blood Science 3, no. 2 (2021): 35–39. http://dx.doi.org/10.1097/bs9.0000000000000072.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Kalpana, G., R. Pathak, A. La Porte, et al. "A quantitative single cell, single molecule RNA-FISH+IF and single cell RNA-seq analysis reveals stochasticity of reactivation of latent provirus." Journal of Virus Eradication 5 (December 2019): 1. http://dx.doi.org/10.1016/s2055-6640(20)30071-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Loi, Danson S. C., Lei Yu, and Angela R. Wu. "Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH." PeerJ 9 (January 15, 2021): e10717. http://dx.doi.org/10.7717/peerj.10717.

Full text

Abstract:

A decade since its invention, single-cell RNA sequencing (scRNA-seq) has become a mainstay technology for profiling transcriptional heterogeneity in individual cells. Yet, most existing scRNA-seq methods capture only polyadenylated mRNA to avoid the cost of sequencing non-messenger transcripts, such as ribosomal RNA (rRNA), that are usually not of-interest. Hence, there are not very many protocols that enable single-cell analysis of total RNA. We adapted a method called DASH (Depletion of Abundant Sequences by Hybridisation) to make it suitable for depleting rRNA sequences from single-cell tot

APA, Harvard, Vancouver, ISO, and other styles

41

Cheng, Jie, Tianxi Zhang, Yan Cheng, Kefyalew Gebeyew, Zhiliang Tan, and Zhixiong He. "Single-Cell RNA Sequencing Outperforms Single-Nucleus RNA Sequencing in Analyzing Pancreatic Cell Diversity and Gene Expression in Goats." International Journal of Molecular Sciences 26, no. 8 (2025): 3916. https://doi.org/10.3390/ijms26083916.

Full text

Abstract:

The objective of this study was to determine whether single-cell RNA sequencing (scRNA-seq) or single-nucleus RNA sequencing (snRNA-seq) was more effective for studying the goat pancreas. Pancreas tissues from three healthy 10-day-old female Xiangdong black goats were processed into single-cell and single-nucleus suspensions. These suspensions were then used to compare cellular composition and gene expression levels following library construction and sequencing. Both scRNA-seq and snRNA-seq were eligible for primary analysis but produced different cell identification profiles in pancreatic tis

APA, Harvard, Vancouver, ISO, and other styles

42

Raevskiy, Mikhail, Vladislav Yanvarev, Sascha Jung, Antonio Del Sol, and Yulia A. Medvedeva. "Epi-Impute: Single-Cell RNA-seq Imputation via Integration with Single-Cell ATAC-seq." International Journal of Molecular Sciences 24, no. 7 (2023): 6229. http://dx.doi.org/10.3390/ijms24076229.

Full text

Abstract:

Single-cell RNA-seq data contains a lot of dropouts hampering downstream analyses due to the low number and inefficient capture of mRNAs in individual cells. Here, we present Epi-Impute, a computational method for dropout imputation by reconciling expression and epigenomic data. Epi-Impute leverages single-cell ATAC-seq data as an additional source of information about gene activity to reduce the number of dropouts. We demonstrate that Epi-Impute outperforms existing methods, especially for very sparse single-cell RNA-seq data sets, significantly reducing imputation error. At the same time, Ep

APA, Harvard, Vancouver, ISO, and other styles

43

Lyu, Jun, and Chongyi Chen. "Transcriptome and Temporal Transcriptome Analyses in Single Cells." International Journal of Molecular Sciences 25, no. 23 (2024): 12845. http://dx.doi.org/10.3390/ijms252312845.

Full text

Abstract:

Transcriptome analysis in single cells, enabled by single-cell RNA sequencing, has become a prevalent approach in biomedical research, ranging from investigations of gene regulation to the characterization of tissue organization. Over the past decade, advances in single-cell RNA sequencing technology, including its underlying chemistry, have significantly enhanced its performance, marking notable improvements in methodology. A recent development in the field, which integrates RNA metabolic labeling with single-cell RNA sequencing, has enabled the profiling of temporal transcriptomes in individ

APA, Harvard, Vancouver, ISO, and other styles

44

Xie, Bingbing, Qin Jiang, Antonio Mora, and Xuri Li. "Automatic cell type identification methods for single-cell RNA sequencing." Computational and Structural Biotechnology Journal 19 (2021): 5874–87. http://dx.doi.org/10.1016/j.csbj.2021.10.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Oh, Seungyoul, Daniel H. D. Gray, and Mark M. W. Chong. "Single-Cell RNA Sequencing Approaches for Tracing T Cell Development." Journal of Immunology 207, no. 2 (2021): 363–70. http://dx.doi.org/10.4049/jimmunol.2100408.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Socolovsky, Merav. "Blood Cell Fate Decisions: Insights from Single-cell RNA-seq." Blood 134, Supplement_1 (2019): SCI—20—SCI—20. http://dx.doi.org/10.1182/blood-2019-121106.

Full text

Abstract:

The manner by which multipotent hematopoietic progenitors commit to the erythroid lineage, and the subsequent processes that govern early erythroid progenitor development, are not well understood. Part of the challenge for investigating these was the lack of a rigorous strategy for isolating directly from tissue the early erythroid progenitors, which are functionally defined as the cell 'units' that give rise to erythroid colonies (CFU-e) or bursts (BFU-e) in culture. Indeed, the early erythroid trajectory, that starts with multi-potential progenitors and gives rise to BFU-e, CFU-e and to eryt

APA, Harvard, Vancouver, ISO, and other styles

47

Mereu, Elisabetta, Atefeh Lafzi, Catia Moutinho, et al. "Benchmarking single-cell RNA-sequencing protocols for cell atlas projects." Nature Biotechnology 38, no. 6 (2020): 747–55. http://dx.doi.org/10.1038/s41587-020-0469-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Grün, Dominic, Anna Lyubimova, Lennart Kester, et al. "Single-cell messenger RNA sequencing reveals rare intestinal cell types." Nature 525, no. 7568 (2015): 251–55. http://dx.doi.org/10.1038/nature14966.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Vu, Trung Nghia, Ha-Nam Nguyen, Stefano Calza, Krishna R. Kalari, Liewei Wang, and Yudi Pawitan. "Cell-level somatic mutation detection from single-cell RNA sequencing." Bioinformatics 35, no. 22 (2019): 4679–87. http://dx.doi.org/10.1093/bioinformatics/btz288.

Full text

Abstract:

Abstract Motivation Both single-cell RNA sequencing (scRNA-seq) and DNA sequencing (scDNA-seq) have been applied for cell-level genomic profiling. For mutation profiling, the latter seems more natural. However, the task is highly challenging due to the limited input materials from only two copies of DNA molecules, while whole-genome amplification generates biases and other technical noises. ScRNA-seq starts with a higher input amount, so generally has better data quality. There exists various methods for mutation detection from DNA sequencing, it is not clear whether these methods work for scR

APA, Harvard, Vancouver, ISO, and other styles

50

Dai, Hao, Lin Li, Tao Zeng, and Luonan Chen. "Cell-specific network constructed by single-cell RNA sequencing data." Nucleic Acids Research 47, no. 11 (2019): e62-e62. http://dx.doi.org/10.1093/nar/gkz172.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!