Open Access
Review

Table 1

Methods for single-cell multimodal Omicsa)

Methods Modalities assayed Strategies for identifying modalities Throughput Engineering characteristics PMID
scG&T-seq DNA + RNA I + II Benchmarking: 130 cells
Case study: 7 embryos, 41 iPSCs, HCC38-BL cells (n = 36) and single HCC38 cells (n = 32)
Manually selected or flow cytometry 25915121
DR-seq DNA + RNA III + V Benchmarking: 13 E14 cells, Case study: 21 SK-BR-3 cells Mouth pipetting 25599178
TARGET-seq DNA + RNA III Benchmarking: 180 single cells (JURKAT, n = 56; SET2, n = 86; and HSPC, n = 38)
Case study: 458 HSPCs from 5 MPN patients; 2798 cells from a cohort of 8 patients with MF
Fluorescent activated cell sorting 30765193
SIDR DNA + RNA II + III Benchmarking: 43 cells Sorting 1 μL of cell suspension (1 cell / uL) into each well of 48-well microplate 29208629
scM&T-seq DNA methylation + RNA I + II Benchmarking & Case study: 76 individual serum ESCs and 16 ESCs grown in “2i” media FACS after staining 27150361
scMT-seq DNA methylation + RNA I Benchmarking & Case study: 15 sensory neurons from DRG Micro-capillary pipetting 30498128
scTrio-seq DNA methylation + RNA II Benchmarking: 6 HepG2 + 6 mESCs
Case study: 26 hepatocellular carcinoma cells
Mouth pipetting 26902283
scTrio-seq2 DNA methylation + RNA II Case study: ~1900 cells from 12 CRC patients Mouth pipetting 33958790
CoTECH Protein–DNA interactions + RNA III Benchmarking: 1:1 mixed HEK293T and NIH 3T3 cells
Case study: 6993 mESCs, 512 AGM cells + 736 YS cells
Two rounds of combinatorial indexing 33958790
Paired-Tag Protein–DNA interactions + RNA II + III Benchmarking: tens of thousands of HeLa cells
Case study: ~70,000 nuclei from brain cells
Four rounds of combinatorial indexing 33589836
scDam&T-seq Protein–DNA interactions + RNA II FACS 32350457
sciCAR Chromatin accessibility + RNA III Benchmarking: 4825 A549 cells after DEX treatment
Case study: 11,296 cells from whole mouse kidneys
Two rounds of combinatorial indexing 30166440
scCAT-seq Chromatin accessibility + RNA I Benchmarking: 176 K562 cells, Hela-S3 and HCT116
Case study: 110 clinically discarded human embryos
Two rounds of combinatorial indexing 30692544
SNARE-seq Chromatin accessibility + RNA IV Benchmarking: 1047 cells from mixtures of BJ, H1, K562 and GM12878
Case study: 5081 cells from mouse neonatal cerebral cortex, 10,309 cells from adult mouse cerebral cortex
FACS 31611697
SHARE-seq Chromatin accessibility + RNA II Benchmarking: ~900 GM12878 + ~1300 NIH 3T3
Case study: 34,774 mouse skin cells, 23,278 GM12878 cells
Three rounds of combinatorial indexing 33098772
Paired-seq Chromatin accessibility + RNA II + III Benchmarking: ~2053 nuclei from mixture of NIH3T3, HepG2, HEK293T
Case study: 15,191 nuclei from adult mouse cerebral cortex
Five rounds of combinatorial indexing 31695190
ISSAAC-seq Chromatin accessibility + RNA III Benchmarking: mixture of 293T and 3T3 (plate-based), PBMCs and K562 (droplet-based)
Case study: 10,378 adult mouse cerebral cortex
FACS or 10x Genomics scATAC platform 36109677
scNOMe-seq DNA methylation +
Nucleosome occupancy
IV Benchmarking & Case study: 19 GM12878 cells and 11 K562 cells FACS 28653622
scCOOL-seq DNA methylation +
Nucleosome occupancy
IV Benchmarking: 24 mESCs
Case study: 233 cells from mouse preimplantation embryos
Mouth pipetting 28621329
scNMT-seq DNA methylation +
Nucleosome occupancy
II + IV Benchmarking: 70 mESCs
Case study: 43 ES cells that were removed from LIF for 3 days
FACS 29472610
snmCAT-seq DNA methylation +
Nucleosome occupancy
IV + V Benchmarking: mixture of H1 and HEK293T
Case study: 4358 nuclei from postmortem human frontal cortex tissue,
FACS 35419551
scNoMeRe-seq DNA methylation +
Nucleosome occupancy
II + IV Benchmarking & Case study: 233 mouse preimplantation embryos from different stages FACS 33623021
CITE-seq Cell surface protein + RNA IV Benchmarking: mixture of HeLa and 4T1
Case study: 8005 CBMCs
10x Single Cell 3′ v1 or v2 28759029
TEA-seq RNA + Cell surface protein +
Chromatin accessibility
IV Benchmarking & Case study: thousands of PBMCs 10x Genomics scATAC platform 33835024
mtscATAC-seq Chromatin accessibility + mtDNA Benchmarking: mixture of GM11906 and TF1
Case study: 818 GM11906 cells from MERRF patient
10x Genomics scATAC platform 34083792
ASAP-seq Chromatin accessibility +
Cell surface protein + mtDNA
IV Benchmarking: mixture of 293T and 3T3, PBMCs
Case study: 10,928 cells from bone marrow, 8535 PBMCs after T cell stimulation
10x Genomics Multiome kit 34083792
DOGMA-seq Chromatin accessibility + RNA +
Cell surface protein + mtDNA
IV Benchmarking: 6139 PBMCs after T cell stimulation 10x Genomics Multiome kit 34083792
NEAT-seq Chromatin accessibility + RNA
+ Nuclear protein
IV Benchmarking: mixture of K562 and mESCs
Case study: human CD4 memory T cells
10x Genomics Multiome kit 35501385
Perturb-seq DNA perturbation + RNA Benchmarking & Case study: 6 experiments analyzing 200,000 cells (BMDCs and K562) 10x Chromium System 27984732
CROP-seq DNA perturbation + RNA Benchmarking : mixture of 3 KO cell lines of 293T
Case study: 5798 Jurkat cells (screen of T-cell receptor activation)
FACS 28099430
CRISP-seq DNA perturbation + RNA Benchmarking: bone marrow cells from mice
Case study: 731 + 1186 + 6749 mice myeloid cells
FACS 27984734
Methy-HiC DNA methylation +
Chromatin conformation
Case study: 103 serum mESCs cultured in LIF and 47 2i mESCs cultured in LIF FACS 31384045
Perturb-ATAC DNA perturbation +
Chromatin accessibility
Benchmarking & Case study: 63 genotypes using ~4300 single cells FACS 30580963
Spear-ATAC DNA perturbation + Chromatin accessibility Benchmarking: 3045 K562 cells
Case study: 32,832 K562 cells representing 128 sgRNA genotypes
10x Genomics scATAC platform 34016988
CRISPR-sciATAC DNA perturbation + Chromatin accessibility Benchmarking: 1986 cells from mixture of NIH3T3 and HEK293
Case study: 11,104 + 16,676 K562 cells (screening of chromatin modifier and chromatin remodeling complexes)
Two rounds of combinatorial indexing 33927415
a)

The summary for single-cell experimental strategies and throughput (represented by cells profiled in the indicated studies) of single-cell technologies as in Figure 3. MPN, myeloproliferative neoplasms. MF, myelofibrosis. DRG, dorsal root ganglion. CRC, colorectal cancer. DEX, dexamethasone. MERRF, myoclonic epilepsy with red ragged fibers. KO, knock out. LIF, leukemia inhibitory factor. I, physical separation. II, biochemical separation. III, split. IV, Conversion. V, computational deconvolution.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.