Literature DB >> 33685491

Giotto: a toolbox for integrative analysis and visualization of spatial expression data.

Ruben Dries1,2, Qian Zhu3, Rui Dong3, Chee-Huat Linus Eng4, Huipeng Li3, Kan Liu5, Yuntian Fu3, Tianxiao Zhao3, Arpan Sarkar3,6, Feng Bao5, Rani E George3, Nico Pierson4, Long Cai4, Guo-Cheng Yuan7,8,9.   

Abstract

Spatial transcriptomic and proteomic technologies have provided new opportunities to investigate cells in their native microenvironment. Here we present Giotto, a comprehensive and open-source toolbox for spatial data analysis and visualization. The analysis module provides end-to-end analysis by implementing a wide range of algorithms for characterizing tissue composition, spatial expression patterns, and cellular interactions. Furthermore, single-cell RNAseq data can be integrated for spatial cell-type enrichment analysis. The visualization module allows users to interactively visualize analysis outputs and imaging features. To demonstrate its general applicability, we apply Giotto to a wide range of datasets encompassing diverse technologies and platforms.

Entities:  

Mesh:

Year:  2021        PMID: 33685491      PMCID: PMC7938609          DOI: 10.1186/s13059-021-02286-2

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   17.906


  45 in total

1.  Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq.

Authors:  Amit Zeisel; Ana B Muñoz-Manchado; Simone Codeluppi; Peter Lönnerberg; Gioele La Manno; Anna Juréus; Sueli Marques; Hermany Munguba; Liqun He; Christer Betsholtz; Charlotte Rolny; Gonçalo Castelo-Branco; Jens Hjerling-Leffler; Sten Linnarsson
Journal:  Science       Date:  2015-02-19       Impact factor: 47.728

2.  ST viewer: a tool for analysis and visualization of spatial transcriptomics datasets.

Authors:  José Fernández Navarro; Joakim Lundeberg; Patrik L Ståhl
Journal:  Bioinformatics       Date:  2019-03-15       Impact factor: 6.937

3.  Spatial organization of the somatosensory cortex revealed by osmFISH.

Authors:  Simone Codeluppi; Lars E Borm; Amit Zeisel; Gioele La Manno; Josina A van Lunteren; Camilla I Svensson; Sten Linnarsson
Journal:  Nat Methods       Date:  2018-10-30       Impact factor: 28.547

4.  In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus.

Authors:  Sheel Shah; Eric Lubeck; Wen Zhou; Long Cai
Journal:  Neuron       Date:  2016-10-19       Impact factor: 17.173

5.  Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region.

Authors:  Jeffrey R Moffitt; Dhananjay Bambah-Mukku; Stephen W Eichhorn; Eric Vaughn; Karthik Shekhar; Julio D Perez; Nimrod D Rubinstein; Junjie Hao; Aviv Regev; Catherine Dulac; Xiaowei Zhuang
Journal:  Science       Date:  2018-11-01       Impact factor: 47.728

6.  Molecular Architecture of the Mouse Nervous System.

Authors:  Amit Zeisel; Hannah Hochgerner; Peter Lönnerberg; Anna Johnsson; Fatima Memic; Job van der Zwan; Martin Häring; Emelie Braun; Lars E Borm; Gioele La Manno; Simone Codeluppi; Alessandro Furlan; Kawai Lee; Nathan Skene; Kenneth D Harris; Jens Hjerling-Leffler; Ernest Arenas; Patrik Ernfors; Ulrika Marklund; Sten Linnarsson
Journal:  Cell       Date:  2018-08-09       Impact factor: 41.582

7.  CytoMAP: A Spatial Analysis Toolbox Reveals Features of Myeloid Cell Organization in Lymphoid Tissues.

Authors:  Caleb R Stoltzfus; Jakub Filipek; Benjamin H Gern; Brandy E Olin; Joseph M Leal; Yajun Wu; Miranda R Lyons-Cohen; Jessica Y Huang; Clarissa L Paz-Stoltzfus; Courtney R Plumlee; Thomas Pöschinger; Kevin B Urdahl; Mario Perro; Michael Y Gerner
Journal:  Cell Rep       Date:  2020-04-21       Impact factor: 9.423

8.  Rank of correlation coefficient as a comparable measure for biological significance of gene coexpression.

Authors:  Takeshi Obayashi; Kengo Kinoshita
Journal:  DNA Res       Date:  2009-09-18       Impact factor: 4.458

9.  Three-dimensional intact-tissue sequencing of single-cell transcriptional states.

Authors:  Xiao Wang; William E Allen; Matthew A Wright; Emily L Sylwestrak; Nikolay Samusik; Sam Vesuna; Kathryn Evans; Cindy Liu; Charu Ramakrishnan; Jia Liu; Garry P Nolan; Felice-Alessio Bava; Karl Deisseroth
Journal:  Science       Date:  2018-06-21       Impact factor: 47.728

10.  Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data.

Authors:  Qian Zhu; Sheel Shah; Ruben Dries; Long Cai; Guo-Cheng Yuan
Journal:  Nat Biotechnol       Date:  2018-10-29       Impact factor: 54.908

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  64 in total

Review 1.  Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics.

Authors:  Sophia K Longo; Margaret G Guo; Andrew L Ji; Paul A Khavari
Journal:  Nat Rev Genet       Date:  2021-06-18       Impact factor: 53.242

2.  Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution.

Authors:  Bin Li; Wen Zhang; Chuang Guo; Hao Xu; Longfei Li; Minghao Fang; Yinlei Hu; Xinye Zhang; Xinfeng Yao; Meifang Tang; Ke Liu; Xuetong Zhao; Jun Lin; Linzhao Cheng; Falai Chen; Tian Xue; Kun Qu
Journal:  Nat Methods       Date:  2022-05-16       Impact factor: 28.547

3.  Spatially Resolved Transcriptomic Analysis of Acute Kidney Injury in a Female Murine Model.

Authors:  Eryn E Dixon; Haojia Wu; Yoshiharu Muto; Parker C Wilson; Benjamin D Humphreys
Journal:  J Am Soc Nephrol       Date:  2021-12-01       Impact factor: 10.121

Review 4.  Exploring tissue architecture using spatial transcriptomics.

Authors:  Anjali Rao; Dalia Barkley; Gustavo S França; Itai Yanai
Journal:  Nature       Date:  2021-08-11       Impact factor: 49.962

5.  SpatialDWLS: accurate deconvolution of spatial transcriptomic data.

Authors:  Rui Dong; Guo-Cheng Yuan
Journal:  Genome Biol       Date:  2021-05-10       Impact factor: 13.583

Review 6.  Museum of spatial transcriptomics.

Authors:  Lambda Moses; Lior Pachter
Journal:  Nat Methods       Date:  2022-03-10       Impact factor: 28.547

Review 7.  Research Techniques Made Simple: Spatial Transcriptomics.

Authors:  Arianna J Piñeiro; Aubrey E Houser; Andrew L Ji
Journal:  J Invest Dermatol       Date:  2022-04       Impact factor: 8.551

Review 8.  Spatial omics and multiplexed imaging to explore cancer biology.

Authors:  Verena C Wimmer; Delphine Merino; Kelly L Rogers; Shalin H Naik; Sabrina M Lewis; Marie-Liesse Asselin-Labat; Quan Nguyen; Jean Berthelet; Xiao Tan
Journal:  Nat Methods       Date:  2021-08-02       Impact factor: 28.547

9.  Barcoded oligonucleotides ligated on RNA amplified for multiplexed and parallel in situ analyses.

Authors:  Songlei Liu; Sukanya Punthambaker; Eswar P R Iyer; Thomas Ferrante; Daniel Goodwin; Daniel Fürth; Andrew C Pawlowski; Kunal Jindal; Jenny M Tam; Lauren Mifflin; Shahar Alon; Anubhav Sinha; Asmamaw T Wassie; Fei Chen; Anne Cheng; Valerie Willocq; Katharina Meyer; King-Hwa Ling; Conor K Camplisson; Richie E Kohman; John Aach; Je Hyuk Lee; Bruce A Yankner; Edward S Boyden; George M Church
Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

10.  SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies.

Authors:  Jiaqiang Zhu; Shiquan Sun; Xiang Zhou
Journal:  Genome Biol       Date:  2021-06-21       Impact factor: 13.583

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