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Table 2 Comparison of ST seq technologies

From: Single-cell and spatial analyses of cancer cells: toward elucidating the molecular mechanisms of clonal evolution and drug resistance acquisition

Method name

Year

Resolution

Sample

Information

Pros/Cons

Microdissection-based

 LCM [33, 34]

1996

ROI

FF/FFPE

Transcriptome/Target

Robust/Low throughput

 tomo-seq [36]

2014

3D tissue

FF

Transcriptome

3D constructable/Multiple identical biological samples are required

 TIVA [37]

2014

single cell

Fresh cells

Transcriptome

Can be applied to live cells/Low throughput

 Geo-seq [35]

2017

10 cells

FF

Transcriptome

Extended version of the LCM/Low throughput

 NICHE-seq [38]

2017

ROI

Fresh cells

Transcriptome

Can be applied to live cells/Lost spatial information within the region of interest

 ProximID [39]

2018

2–3 cells

Fresh cells

Transcriptome

Reflects the physical relationship between cells/Low throughput

In situ hybridization-based

 RNA-ISH [40]

late 1970

Subcellular

Ethanole fixes

gene

High sensitivity/Low throughput

 smFISH [41]

2008

Subcellular

FF/FFPE

Target (some gene)

High sensitivity/Low throughput

 seqFISH [42]

2014

Subcellular

FF

Target (12gene)

Multiplex/Small observation area, not single molecular

 MERFISH [43]

2015

Subcellular

FF

Target (1001gene)

Multiplex/Small observation area, not single molecular

 seqFISH+ [44]

2019

Subcellular

FF

Target (10000gene)

Highly multiplex, resolution/Small observation area, High cost

In situ sequencing-based

 padlock-based ISS technology [46]

2013

Subcellular

FF/FFPE

Target (~ 100gene)

Can detect SNVs/limited gene number

 FISSEQ [49]

2014

Subcellular

FF/FFPE

Transcriptome

Non target/Small observation area

 BaristaSeq [48]

2018

Subcellular

cell line

Target

Can detect SNVs/Target sequence is necessary

 STARmap [45]

2018

Subcellular

Fresh cell/FF

Target (1024gene)

Avoiding RTstep, 3D constructable/Small observation area

 HybISS [47]

2020

Subcellular

FF

Target

Improved version of the padlock-based ISS technology/Small observation area

In situ capturing-based

 Spatial Transcriptome [50]

2016

20–100 cells

FF

Transcriptome

Whole transcriptome, Wide observation area/not single cell resolution

 Slide-seq [51]

2019

Single cell (10um)

FF

Transcriptome

High resolution/Low sensitivity

 HDST [52]

2019

Single cell (2um)

FF

Transcriptome

High resolution/Low sensitivity

 Digital Spatial Profiling [53]

2020

ROI (1-5000cell)

FFPE

Target (~ 5000 gene)

Compatible with FFPE/Small observation area

  1. LCM laser capture microdissection, ROI region of interest, FF fresh frozen, FFPE formalin fixed paraffin embedded