Opportunities and tradeoffs in single-cell transcriptomic technologies-Reference-Cited by-同舟云学术

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Opportunities and tradeoffs in single-cell transcriptomic technologies

Published:2024-01 Issue:1 Volume:40 Page:83-93
ISSN:0168-9525
Container-title:Trends in Genetics
language:en
Short-container-title:Trends in Genetics

Author:

Conte Matilde I.,Fuentes-Trillo Azahara,Domínguez Conde Cecilia^ORCID

Publisher

Elsevier BV

Subject

Genetics

Reference90 articles.

1. Smart-seq2 for sensitive full-length transcriptome profiling in single cells;Picelli;Nat. Methods,2013

2. Single-cell RNA counting at allele and isoform resolution using Smart-seq3;Hagemann-Jensen;Nat. Biotechnol.,2020

3. Effective detection of variation in single-cell transcriptomes using MATQ-seq;Sheng;Nat. Methods,2017

4. Cell hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics;Stoeckius;Genome Biol.,2018

5. MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices;McGinnis;Nat. Methods,2019

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1. Genome-wide analysis reveals the MORC3-mediated repression of PD-L1 expression in head and neck cancer;Frontiers in Cell and Developmental Biology;2024-09-12

2. PURE-seq identifiesEgr1as a Potential Master Regulator in Murine Aging by Sequencing Long-Term Hematopoietic Stem Cells;2024-08-14

3. High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution;2024-08-06

4. Applications of single-cell technologies in drug discovery for tumor treatment;iScience;2024-08

5. Exploring the Stability of Genomic Imprinting and X-Chromosome Inactivation in the Aged Brain;Aging Biology;2024-07-31

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