Featured
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Article
| Open AccessPianno: a probabilistic framework automating semantic annotation for spatial transcriptomics
Recognising spatial spots’ biological identity in spatial transcriptomics remains a challenge. Here, authors introduce Pianno, a tool that helps annotate the biological structures or cell-type constructions across diverse tissues, offering new perspectives on understanding spatial transcriptomics.
- Yuqiu Zhou
- , Wei He
- & Ying Zhu
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Article
| Open AccessFinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA
DNA methylation from cell-free DNA (cfDNA) can be profiled using whole genome bisulfite sequencing (WGBS). Here, the authors develop a computational method, FinaleMe, that predicts DNA methylation and tissues of-origin in cfDNA and validate its performance using paired deep and shallow-coverage whole-genome sequencing (WGS) and WGBS data.
- Yaping Liu
- , Sarah C. Reed
- & Manolis Kellis
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Article
| Open AccessPLMSearch: Protein language model powers accurate and fast sequence search for remote homology
Homologous protein search is one of the most commonly used methods for protein analysis. Here, authors propose PLMSearch, a search method that takes only sequences as input and can search millions of protein pairs in seconds while maintaining sensitivity comparable to SOTA structure search methods.
- Wei Liu
- , Ziye Wang
- & Shanfeng Zhu
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Article
| Open AccessDELVE: feature selection for preserving biological trajectories in single-cell data
Characteristic genes or proteins driving continuous biological processes are difficult to uncover from noisy single-cell data. Here, authors present DELVE, an unsupervised feature selection method to identify core molecular features driving cell fate decisions.
- Jolene S. Ranek
- , Wayne Stallaert
- & Jeremy E. Purvis
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Article
| Open AccessA universal molecular control for DNA, mRNA and protein expression
Multi-omics analyses powerfully combine gene expression and translation, however no available controls can be used across these techniques. Here the authors develop pREF, a universal control construct designed for use in DNA, RNA and protein analyses.
- Helen M. Gunter
- , Scott E. Youlten
- & Tim R. Mercer
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Article
| Open AccessNAP-seq reveals multiple classes of structured noncoding RNAs with regulatory functions
The genome-wide prevalence, mechanism and function of noncapped RNAs (napRNAs) are currently poorly understood. Here, the authors develop a method called NAP-seq, to globally profile the full-length sequences of napRNAs, revealing several classes of structured noncoding RNAs.
- Shurong Liu
- , Junhong Huang
- & Jianhua Yang
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Article
| Open AccessTargeted metagenomics reveals association between severity and pathogen co-detection in infants with respiratory syncytial virus
The impact of other pathogens on disease outcome was studied in European infants with RSV infection. Additional viruses were commonly co-detected during infection but were weakly linked to severity. However, presence of Haemophilus bacteria strongly associated with severe cases.
- Gu-Lung Lin
- , Simon B. Drysdale
- & Andrew J. Pollard
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Article
| Open AccessSingle-cell division tracing and transcriptomics reveal cell types and differentiation paths in the regenerating lung
This study uses single-cell transcriptomics to examine how lung cells respond to targeted damage. The authors employ genetically modified mouse models and cell sorting to enrich for rare, actively dividing cells, revealing cell types/states and alternative differentiation paths.
- Leila R. Martins
- , Lina Sieverling
- & Claudia Scholl
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Article
| Open AccessAn organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome
Endocrinologists have traditionally focused on studying one hormone or organ system at a time. Here the authors use transcriptomic data from the mouse lemur to globally characterize primate hormonal signaling, describing hormone sources and targets, identifying conserved and primate specific regulation, and elucidating principles of the network.
- Shixuan Liu
- , Camille Ezran
- & James E. Ferrell Jr.
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Article
| Open AccessProTInSeq: transposon insertion tracking by ultra-deep DNA sequencing to identify translated large and small ORFs
Identifying small proteins is challenging. ProTInSeq uses modified transposons to express markers inserted in-frame to protein-coding genes. This method identifies 153 unannotated small proteins in M. pneumoniae and additional proteomic information.
- Samuel Miravet-Verde
- , Rocco Mazzolini
- & Luis Serrano
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Article
| Open AccessGene expression analyses reveal differences in children’s response to malaria according to their age
Here the authors use dual RNA sequencing to characterize host and parasite gene expression from 136 Malian children with symptomatic Plasmodium falciparum infection. They find that parasitemia levels correlate with neutrophil and T cell levels and that the child’s age correlates with innate immune gene expression as well as gametocyte levels.
- Kieran Tebben
- , Salif Yirampo
- & David Serre
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Article
| Open AccessEndogenous stimuli-responsive separating microneedles to inhibit hypertrophic scar through remodeling the pathological microenvironment
The treatment of hypertrophic scar (HS) is hindered by the low bioavailability of drugs and the pathological microenvironment. Here the authors report a separating microneedle drug delivery system responsive to high reactive oxygen species levels and overexpression of matrix metalloproteinases to remodel the pathological microenvironment for HS treatment.
- Zhuo-Ran Yang
- , Huinan Suo
- & Jintao Zhu
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Article
| Open AccessA single-cell atlas of Drosophila trachea reveals glycosylation-mediated Notch signaling in cell fate specification
Studying Drosophila trachea development can inform the mechanisms of growth of all tubular structures. Here, the authors generate a transcriptomic cell atlas of the developing fly trachea and establish roles for Notch signaling, which may be disrupted by diet-induced glycosylation.
- Yue Li
- , Tianfeng Lu
- & Hai Huang
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Article
| Open AccessRiboformer: a deep learning framework for predicting context-dependent translation dynamics
Riboformer is a deep learning-based framework that predicts changes in translation dynamics with codon-level precision. It corrects experimental artifacts in ribosome profiling data and identifies sequences causing ribosome stalling.
- Bin Shao
- , Jiawei Yan
- & Allen R. Buskirk
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Article
| Open AccessscCircle-seq unveils the diversity and complexity of extrachromosomal circular DNAs in single cells
Extrachromosomal circular DNAs (eccDNAs) affect gene expression and tumour progression. Here, the authors report a method, scCircle-seq, for eccDNA profiling in single cells, demonstrating the stochasticity, cell type specificity, and dynamics of eccDNAs in cell lines and primary tumour samples.
- Jinxin Phaedo Chen
- , Constantin Diekmann
- & Nicola Crosetto
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Article
| Open AccessscCASE: accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data
Single-cell chromatin accessibility sequencing (scCAS) data suffers from high sparsity and dimensionality. Here, authors propose an accurate and interpretable computational framework for enhancing scCAS data that considers cell-to-cell similarity.
- Songming Tang
- , Xuejian Cui
- & Shengquan Chen
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Article
| Open AccessTFvelo: gene regulation inspired RNA velocity estimation
Most RNA velocity models extract dynamics from the phase delay between unspliced and spliced mRNA for each gene. Here, authors propose TFvelo, broadening RNA velocity beyond splicing information to include gene regulation. TFvelo accurately models genes dynamics and infers cell pseudo-time from RNA abundance data.
- Jiachen Li
- , Xiaoyong Pan
- & Hong-Bin Shen
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Article
| Open AccessPredicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing
A profibrotic, proinflammatory kidney cell population has been identified as a driver of chronic kidney disease. Here, authors generate a human kidney single cell multiomic dataset and apply a regularised regression approach to identify transcription factors underpinning this cell population.
- Nicolas Ledru
- , Parker C. Wilson
- & Benjamin D. Humphreys
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Article
| Open AccessThe dynamic genetic determinants of increased transcriptional divergence in spermatids
Here the authors show that genetic changes between species often alter gene expression in a cell type-specific manner. Most of this variability is driven by locally functioning cis-acting variation, and this contributes to the speed at which cell types accumulate expression changes.
- Jasper Panten
- , Tobias Heinen
- & Duncan T. Odom
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Article
| Open AccessEco-evolutionary dynamics of gut phageome in wild gibbons (Hoolock tianxing) with seasonal diet variations
The significance of gut phageome for wild animals with seasonal diets remains unexplored. Here, the authors use complementary metagenomics to analyze the phage-host dynamics and its implications for diet variations in wild skywalker hoolock gibbons.
- Shao-Ming Gao
- , Han-Lan Fei
- & Peng-Fei Fan
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Article
| Open AccessMechanistic characterization of a Drosophila model of paraneoplastic nephrotic syndrome
The fruit fly Drosophila melanogaster has emerged as a model to characterize the mechanisms of tumor-induced host organ dysfunction. Here, Xu, Liu et al. describe a mechanism of tumor-induced kidney dysfunction through hyper-activation of the PvR/JNK/Jra pathway in the Principal cells of the fly kidney/Malpighian tubules.
- Jun Xu
- , Ying Liu
- & Norbert Perrimon
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Article
| Open AccessA method to estimate the contribution of rare coding variants to complex trait heritability
The contribution of rare variants to complex traits has not been well studied. Here, the authors present RARity, a method to assess rare variant heritability without assuming a particular genetic architecture and enabling both gene-level and exome-wide heritability estimation of continuous traits.
- Nazia Pathan
- , Wei Q. Deng
- & Guillaume Paré
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| Open AccessSemi-supervised integration of single-cell transcriptomics data
Batch effects hinder multi-sample single-cell data analyses. Here, authors present STACAS, a scalable single-cell RNA-seq data integration tool that uses prior cell type knowledge to preserve biological variability, demonstrating robustness to noisy input cell type labels.
- Massimo Andreatta
- , Léonard Hérault
- & Santiago J. Carmona
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Article
| Open AccessUtility of long-read sequencing for All of Us
Using All of Us pilot data, the authors compared short- and long-read performance across medically relevant genes and showcased the utility of long reads to improve variant detection and phasing in easy and hard to resolve medically relevant genes.
- M. Mahmoud
- , Y. Huang
- & F. J. Sedlazeck
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Article
| Open AccessHuman whole-exome genotype data for Alzheimer’s disease
The heterogeneity of whole-exome sequencing (WES) data generation methods presents a challenge to joint analysis. Here, the authors present a bioinformatics strategy to generate high-quality data from processing diversely generated WES samples, as applied in the Alzheimer’s Disease Sequencing Project.
- Yuk Yee Leung
- , Adam C. Naj
- & Li-San Wang
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Article
| Open AccessPROST: quantitative identification of spatially variable genes and domain detection in spatial transcriptomics
Understanding biological mechanisms requires a thorough exploration of spatiotemporal transcriptional patterns in complex tissues. Here, authors present PROST to quantify spatial gene expression patterns and detect spatial domains using spatial transcriptomics data of varying resolutions.
- Yuchen Liang
- , Guowei Shi
- & Zhonghui Tang
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Article
| Open AccessLeveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types
This study analyzed data from human cells assayed using single-cell technologies, together with data associating genetic variants to disease, to identify fetal and brain cell types whose biologically critically influences the etiology of disease.
- Samuel S. Kim
- , Buu Truong
- & Alkes L. Price
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Article
| Open AccessBIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Subcellular in situ spatial transcriptomics offers the promise to address biological problems that were previously inaccessible but requires accurate cell segmentation to uncover insights. Here, authors present BIDCell, a biologically informed, deep learning-based cell segmentation framework.
- Xiaohang Fu
- , Yingxin Lin
- & Jean Y. H. Yang
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Article
| Open AccessDirect RNA sequencing coupled with adaptive sampling enriches RNAs of interest in the transcriptome
It can be difficult to find rare transcripts when sequencing a transcriptome. Here the authors show adaptive sampling on direct RNA runs to increase the likelihood of finding less frequent ones while selectively ejecting the higher-abundance transcripts.
- Jiaxu Wang
- , Lin Yang
- & Yue Wan
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Article
| Open AccessVESPA: an optimized protocol for accurate metabarcoding-based characterization of vertebrate eukaryotic endosymbiont and parasite assemblages
DNA sequencing methods for characterizing microbial communities are well developed for bacteria, archaea and fungi, but less so for eukaryotic parasites and commensals. Here, the authors present an optimized and validated metabarcoding protocol for host-associated eukaryotic communities.
- Leah A. Owens
- , Sagan Friant
- & Tony L. Goldberg
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Article
| Open AccessMarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer
Identifying rare cell populations is key to understanding cancer progression and response to therapy. Here, authors introduce MarsGT, an end-to-end deep learning model for rare cell population identification from scMulti-omics data.
- Xiaoying Wang
- , Maoteng Duan
- & Qin Ma
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Article
| Open AccessMENDER: fast and scalable tissue structure identification in spatial omics data
Identifying tissue structure in large-scale spatial omics datasets from multiple slices is challenging. Here, authors present MENDER, an optimisation-free spatial clustering method that can scale to million-level spatial data, enabling efficient analysis of spatial cell atlases.
- Zhiyuan Yuan
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Article
| Open AccessAngiogenesis-on-a-chip coupled with single-cell RNA sequencing reveals spatially differential activations of autophagy along angiogenic sprouts
The functional heterogeneity of autophagy in endothelial cells during angiogenesis remains incompletely understood. Here, the authors apply a 3D angiogenesis-on-a-chip coupled with single-cell RNA sequencing to find distinct autophagy functions in two different endothelial cell populations during angiogenic sprouting.
- Somin Lee
- , Hyunkyung Kim
- & Noo Li Jeon
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Article
| Open AccessTerminal modifications independent cell-free RNA sequencing enables sensitive early cancer detection and classification
Cell free RNA is a potentially valuable resource to detect cancer, however, its low concentration in plasma can limit usefulness. Here, the authors devise a library preparation method from 100ul of plasma, and apply to multiple cancer types to detect and classify cancer patients
- Jun Wang
- , Jinyong Huang
- & Deming Gou
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Article
| Open AccessECOLE: Learning to call copy number variants on whole exome sequencing data
Copy number variants (CNV) are shown to contribute to the etiology of various genetic disorders. Here, authors present ECOLE, a deep learning-based somatic and germline CNV caller for WES data. Utilising a variant of the transformer architecture, the model is trained to call CNVs per exon.
- Berk Mandiracioglu
- , Furkan Ozden
- & A. Ercument Cicek
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Article
| Open AccessACIDES: on-line monitoring of forward genetic screens for protein engineering
Screening mutated proteins is a versatile strategy in protein research, producing massive datasets when combined with NGS. Here, authors present ACIDES to estimate mutated protein fitness and aid protein engineering pipelines in a range of applications, including gene therapy.
- Takahiro Nemoto
- , Tommaso Ocari
- & Ulisse Ferrari
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| Open AccessPathway centric analysis for single-cell RNA-seq and spatial transcriptomics data with GSDensity
Clustering-based analysis has limited power in highly dynamic single-cell data, which is a common situation in tumour samples. Here, authors introduce GSDensity, enabling pathway-centric analysis for the direct integration of data with their domain knowledge.
- Qingnan Liang
- , Yuefan Huang
- & Ken Chen
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Article
| Open AccessPotent latency reversal by Tat RNA-containing nanoparticle enables multi-omic analysis of the HIV-1 reservoir
Reactivating latent HIV reservoirs could be beneficial towards a functional cure. Here, the authors show that Tat-LNP effectively reactivates HIV while preserving the cell transcriptome. Upon reactivation, p24+ cells exhibit distinct genes and pathways potentially contributing to their persistence.
- Marion Pardons
- , Basiel Cole
- & Linos Vandekerckhove
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Article
| Open AccessWhole-genome sequencing reveals the molecular implications of the stepwise progression of lung adenocarcinoma
Current sequencing technologies can shed light on the stepwise progression of lung adenocarcinoma. Here, the authors characterize tumor progression in lung adenocarcinomas from an early stage using short and long read whole-genome sequencing, bulk and spatial transcriptomics, and epigenomics.
- Yasuhiko Haga
- , Yoshitaka Sakamoto
- & Ayako Suzuki
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Article
| Open AccessA patterned human primitive heart organoid model generated by pluripotent stem cell self-organization
Pluripotent stem cell-derived organoids can recapitulate significant hallmarks of human organ development and are becoming critical tools for human research. Here, the authors report significant technical steps for generating sophisticated synthetic human primitive heart organoids.
- Brett Volmert
- , Artem Kiselev
- & Aitor Aguirre
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Article
| Open AccessSTalign: Alignment of spatial transcriptomics data using diffeomorphic metric mapping
Spatial transcriptomics (ST) enables gene expression characterisation within tissue sections, but comparing across sections and technologies remains challenging. Here, authors develop STalign to spatially align ST data and demonstrate applications including aligning to common coordinate frameworks.
- Kalen Clifton
- , Manjari Anant
- & Jean Fan
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Article
| Open AccessSecretory GFP reconstitution labeling of neighboring cells interrogates cell–cell interactions in metastatic niches
Methodologies to study the mechanisms of cell–cell interactions in metastatic niches remain scarce. Here, the authors develop a secretory GFP reconstitution-based system to tag tissue-resident cells neighboring on cancer cells within the metastatic niche.
- Misa Minegishi
- , Takahiro Kuchimaru
- & Satoshi Nishimura
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Article
| Open AccessSpatial transcriptomics deconvolution at single-cell resolution using Redeconve
Computational deconvolution with single-cell RNA sequencing data as a reference is pivotal for interpreting spatial transcriptomics data. Here, authors present Redeconve, which improves the resolution by more than 100-fold with higher accuracy and speed.
- Zixiang Zhou
- , Yunshan Zhong
- & Xianwen Ren
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Article
| Open AccessUtilizing river and wastewater as a SARS-CoV-2 surveillance tool in settings with limited formal sewage systems
COVID-19 has impacted health systems unequally and widespread SARS-CoV-2 testing for community surveillance has been limited globally. This work in Malawi highlights how river and wastewater can be used to detect emerging SARS-CoV-2 waves, identify variants of concern, and provide an early warning system.
- Kayla G. Barnes
- , Joshua I. Levy
- & Nicholas Feasey
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Article
| Open AccessPhenoSV: interpretable phenotype-aware model for the prioritization of genes affected by structural variants
Here, authors present PhenoSV, a phenotype-aware machine-learning model for the functional interpretation of various types of structural variants (SVs) and genes within or outside SVs, facilitating the extraction of biological insights from coding and noncoding SVs.
- Zhuoran Xu
- , Quan Li
- & Kai Wang
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Article
| Open AccessDetection of isoforms and genomic alterations by high-throughput full-length single-cell RNA sequencing in ovarian cancer
Long-read single-cell RNA sequencing is capable of detecting isoform-level gene expression and genomic alterations such as mutations and gene fusions, thereby providing cell-specific genotype-phenotype information. Here, the authors use long-read scRNA-seq on metastatic ovarian cancer samples and detect cell-type specific isoforms and gene fusions that may otherwise be misclassified in short-read data.
- Arthur Dondi
- , Ulrike Lischetti
- & Niko Beerenwinkel
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Article
| Open AccessSPACEL: deep learning-based characterization of spatial transcriptome architectures
Spatial transcriptomics (ST) technologies detect transcript distribution in space. Here, authors present a deep learning based method SPACEL for cell type deconvolution, spatial domain identification and 3D alignment, showcasing it as a valuable toolkit for ST data analysis
- Hao Xu
- , Shuyan Wang
- & Kun Qu
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Article
| Open AccessTargetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
The role of clonal evolution on the actionable proteome and response to therapy in childhood acute lymphoblastic leukemia (ALL) remains unknown. Here, targeted sequencing and proteomic analysis of paired ALL diagnosis and relapsed samples revealed PARP1 as a potential therapeutic target.
- Amanda C. Lorentzian
- , Jenna Rever
- & Philipp F. Lange
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Article
| Open AccessHigh-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
Understanding T cell behaviour in cancers is vital for improving immunotherapies. Here, the authors present spatially resolved T cell receptor sequencing (SPTCR-seq), a technology that annotates T cell receptors within the tumour ecosystem.
- Jasim Kada Benotmane
- , Jan Kueckelhaus
- & Dieter Henrik Heiland