Back

Decomap-seq enables efficient and reliable retrieval of spatial transcripts

Kaiqiang, Y.; Zhao, X.; Wenjia, W.; Handong, W.

2026-03-20 biochemistry
10.64898/2026.03.18.712548 bioRxiv
Show abstract

Spatial transcriptomics (ST) has emerged as a transformative tool for resolving the molecular heterogeneity of complex tissues within their native anatomical context. However, next-generation sequencing (NGS)-based ST platforms frequently encounter sensitivity bottlenecks arising from sub-optimal probe architectures on solid substrates. Conventional single-stranded DNA coupling methods often lead to disordered interfacial molecular conformations due to non-specific nucleobase-mediated surface tethering, which creates steric hindrance and inhibits the enzymatic efficiency of in situ library preparation. Here, we present Decomap (double-strand protected combinatorial barcoding microarray chip), a high-performance ST platform utilizing a triple-segment (dsZ-X-Y) fabrication strategy to achieve superior transcript capture efficiency. This structural optimization significantly enhances DNA ligation kinetics and subsequent polymerase-mediated extension, overcoming the fundamental limitations of traditional single-stranded coupling strategies. Decomap-seq achieved a median detection of 7,200 genes and 29,097 UMIs per 50 m-spot at a sequencing saturation of 50.1%. These results validate Decomap as a highly sensitive and robust tool for spatial transcriptomics, offering a powerful platform for advancing research in histopathology, developmental biology, and neuroscience.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 10%
14.4%
2
Small Methods
26 papers in training set
Top 0.1%
12.5%
3
Nature Biotechnology
147 papers in training set
Top 1%
7.2%
4
Advanced Science
249 papers in training set
Top 3%
6.4%
5
Nucleic Acids Research
1128 papers in training set
Top 4%
4.9%
6
Journal of the American Chemical Society
199 papers in training set
Top 2%
4.0%
7
PLOS ONE
4510 papers in training set
Top 46%
2.4%
50% of probability mass above
8
Nature Chemical Biology
104 papers in training set
Top 1%
2.4%
9
Advanced Materials
53 papers in training set
Top 0.9%
2.4%
10
Science
429 papers in training set
Top 12%
2.1%
11
ACS Nano
99 papers in training set
Top 2%
2.1%
12
Nature Methods
336 papers in training set
Top 4%
1.9%
13
Biosensors and Bioelectronics
52 papers in training set
Top 0.7%
1.9%
14
Nature Nanotechnology
30 papers in training set
Top 0.6%
1.7%
15
Angewandte Chemie International Edition
81 papers in training set
Top 2%
1.7%
16
Science Advances
1098 papers in training set
Top 17%
1.7%
17
Cell
370 papers in training set
Top 11%
1.7%
18
Cell Reports Methods
141 papers in training set
Top 2%
1.7%
19
Analytical Chemistry
205 papers in training set
Top 2%
1.3%
20
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 38%
1.2%
21
Nature Biomedical Engineering
42 papers in training set
Top 1%
1.2%
22
ACS Central Science
66 papers in training set
Top 2%
1.0%
23
Communications Biology
886 papers in training set
Top 17%
1.0%
24
Scientific Reports
3102 papers in training set
Top 69%
1.0%
25
eLife
5422 papers in training set
Top 51%
1.0%
26
ACS Sensors
45 papers in training set
Top 1%
0.9%
27
JACS Au
35 papers in training set
Top 0.9%
0.9%
28
Cell Systems
167 papers in training set
Top 13%
0.7%
29
Cell Genomics
162 papers in training set
Top 7%
0.6%