Evidence map›Paper›PMID 37026425›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Spatial Transcriptomics: Technical Aspects of Recent Developments and Their Applications in Neuroscience and Cancer Research.

Han-Eol Park, Song Hyun Jo, Rosalind H Lee, Christian P Macks, Taeyun Ku, Jihwan Park, Chung Whan Lee, Junho K Hur, Chang Ho Sohn

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Han-Eol ParkCenter for Nanomedicine, Institute for Basic Science, Yonsei University, Seoul, 03722, Republic of Korea.ORCID 0000-0001-8605-5990
Song Hyun JoGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Rosalind H LeeSchool of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.ORCID 0009-0008-2387-4911
Christian P MacksCenter for Nanomedicine, Institute for Basic Science, Yonsei University, Seoul, 03722, Republic of Korea.ORCID 0000-0003-1281-7002
Taeyun KuGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID 0000-0001-9447-7579
Jihwan ParkSchool of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.ORCID 0000-0002-5728-912X
Chung Whan LeeDepartment of Chemistry, Gachon University, Seongnam, Gyeonggi-do, 13120, Republic of Korea.ORCID 0000-0002-6694-9177
Junho K HurDepartment of Genetics, College of Medicine, Hanyang University, Seoul, 04763, Republic of Korea.ORCID 0000-0003-3794-1149
Chang Ho SohnCenter for Nanomedicine, Institute for Basic Science, Yonsei University, Seoul, 03722, Republic of Korea.ORCID 0000-0002-7585-1841

Funding

Halle Institute for Global Research at Emory University and Yonsei University 2021-12-0006Institute for Basic Science (IBS), Center for Nanomedicine IBS-R026-D1National Research Foundation (NRF) of Korea, 2019R1C1C1005403National Research Foundation (NRF) of Korea, 2021H1D3A2A02096517National Research Foundation (NRF) of Korea, 2021M3A9H3015690National Research Foundation (NRF) of Korea, 2021M3A9I4024452National Research Foundation (NRF) of Korea, 2021R1A2C2005294National Research Foundation (NRF) of Korea, 2021R1C1C1004092National Research Foundation (NRF) of Korea, 2021R1F1A1047198Yonsei University Research Fund 2022-22-0093
6 · The paper itself

Abstract

Spatial transcriptomics is a newly emerging field that enables high-throughput investigation of the spatial localization of transcripts and related analyses in various applications for biological systems. By transitioning from conventional biological studies to "in situ" biology, spatial transcriptomics can provide transcriptome-scale spatial information. Currently, the ability to simultaneously characterize gene expression profiles of cells and relevant cellular environment is a paradigm shift for biological studies. In this review, recent progress in spatial transcriptomics and its applications in neuroscience and cancer studies are highlighted. Technical aspects of existing technologies and future directions of new developments (as of March 2023), computational analysis of spatial transcriptome data, application notes in neuroscience and cancer studies, and discussions regarding future directions of spatial multi-omics and their expanding roles in biomedical applications are emphasized.

Indexed as

NeoplasmsTranscriptomeGene Expression ProfilingbioinformaticscancerneuroscienceRNAspatial transcriptomics

Identifiers

PMID37026425
PMCPMC10238226

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.