ArticlebioRxiv : the preprint server for biology2024
Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics.
Yongsung Kim, Weiqiu Cheng, Chun-Seok Cho, Yongha Hwang, Yichen Si, Anna Park, Mitchell Schrank, Jer-En Hsu, Jingyue Xi, Myungjin Kim and 6 more
Open access · greenAbstract readPreprint
In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 10 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
16 authors at 1 institution in 1 country.
Yongsung KimDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Weiqiu ChengDepartment of Biostatistics, University of Michigan School of Public Health.
Chun-Seok ChoDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Yongha HwangDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Yichen SiDepartment of Biostatistics, University of Michigan School of Public Health.
Anna ParkDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Mitchell SchrankDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Jer-En HsuDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Jingyue XiDepartment of Biostatistics, University of Michigan School of Public Health.
Myungjin KimDepartment of Molecular & Integrative Physiology, University of Michigan Medical School.
Ellen PedersenBiomedical Research Core Facilities Advanced Genomics Core, University of Michigan.
Olivia I KouesBiomedical Research Core Facilities Advanced Genomics Core, University of Michigan.
Thomas WilsonBiomedical Research Core Facilities Advanced Genomics Core, University of Michigan.
Goo JunHuman Genetics Center, School of Public Health, University of Texas Health Science Center.
University of Michigan · US
Funding
Research Training in BiogerontologyT32AG000114 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCOTT PLETCHER · 1985 to 2026
$12.4MThe NRF2-FBP1 crossregulatory loop and the control of healthy and diseased liver metabolismR01DK133448 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael Karin, Jun Hee Lee · 2022 to 2026
$3.6MSestrins-mediated integration of leucine and exercise benefits for mitochondrial homeostasisR01AG079163 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Myungjin Kim, Jun Hee Lee · 2023 to 2026
$2.1MSeq-Scope: Microscopic Examination of Spatial Single Cell Transcriptome in Cell and Tissue SenescenceUH3CA268091 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, JUN HEE · 2023 to 2025
$1.7MMechanisms underlying Hepatoprotective Roles of Sestrin2R01DK102850 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, JUN HEE · 2015 to 2019
$1.7MLeveraging long-range haplotypes in sequencing data to advance large scale genetic studiesR01HG011031 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZOELLNER, SEBASTIAN · 2020 to 2023
$1.4MSeq-Scope: Microscopic Examination of Spatial Single Cell Transcriptome in Cell and Tissue SenescenceUG3CA268091 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, JUN HEE · 2021 to 2022
$1.1MBeneficial effects of Sestrin protein for muscle health during aging and exerciseK01AG061236 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KIM, MYUNGJIN · 2019 to 2023
$600kNCI NIH HHS UG3 CA268091NCI NIH HHS UH3 CA268091NHGRI NIH HHS R01 HG011031NIA NIH HHS K01 AG061236NIA NIH HHS R01 AG079163NIA NIH HHS T32 AG000114NIDDK NIH HHS R01 DK102850NIDDK NIH HHS R01 DK133448
6 · The paper itselfAbstract
Spatial transcriptomics (ST) technologies represent a significant advance in gene expression studies, aiming to profile the entire transcriptome from a single histological slide. These techniques are designed to overcome the constraints faced by traditional methods such as immunostaining and RNA
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PMID38617262
PMCPMC11014489
OpenAlexW4393391218
What OpenQuestion holds
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