Evidence map›Paper›PMID 26638076›Full record

ArticleCell2015

Simple, Scalable Proteomic Imaging for High-Dimensional Profiling of Intact Systems.

Evan Murray, Jae Hun Cho, Daniel Goodwin, Taeyun Ku, Justin Swaney, Sung-Yon Kim, Heejin Choi, Young-Gyun Park, Jeong-Yoon Park, Austin Hubbert and 7 more

Abstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers.

0numbers the graph read from it
0cells of the map it votes in
313citing 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

313 citing papers in PubMed.

  1. Review
  2. Review
  3. Brain Architecture of Punishment Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  13. Principles ofbioRxiv : the preprint server for biology · 2026
    Article
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  17. Review
  18. Review
  19. Article
  20. Article

253 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Evan MurrayDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jae Hun ChoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Daniel GoodwinSimons Center for Data Analysis, 160 Fifth Avenue, 8th Floor, New York, NY 10010, USA.
Taeyun KuInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Justin SwaneyDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sung-Yon KimInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Heejin ChoiInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Young-Gyun ParkInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jeong-Yoon ParkInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Austin HubbertDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Margaret McCueDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sara VassalloInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Naveed BakhDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Matthew P FroschC.S. Kubik Laboratory of Neuropathology, Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Van J WedeenDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
H Sebastian SeungSimons Center for Data Analysis, 160 Fifth Avenue, 8th Floor, New York, NY 10010, USA; Princeton Neuroscience Institute and Computer Science Department, Princeton University, Princeton, NJ 08544, USA.
Kwanghun ChungDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of Harvard University and Massachusetts Institute of Technology, Cambridge, MA 02142, USA. Electronic address: khchung@mit.edu.

Funding

THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI GOMEZ-ISLA, TERESA · 1985 to 2018
$42.1M
Proteome-Driven Holistic Reconstruction of Organ-Wide Multi-Scale NetworksDP2ES027992 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHUNG, KWANGHUN · 2016 to 2021
$2.8M
Cortical circuits and information flow during memory-guided perceptual decisionsU01NS090473 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SUR, MRIGANKA · 2014 to 2016
$2.4M
Supplement to Neurobiological Engineering Training ProgramT32EB019940 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JASANOFF, ALAN · 2015 to 2025
$1.4M
NIA NIH HHS 5 P50 AG005134NIA NIH HHS P50 AG005134NIBIB NIH HHS T32 EB019940NIEHS NIH HHS DP2 ES027992NINDS NIH HHS 1-U01-NS090473-01NINDS NIH HHS U01 NS090473
6 · The paper itself

Abstract

Combined measurement of diverse molecular and anatomical traits that span multiple levels remains a major challenge in biology. Here, we introduce a simple method that enables proteomic imaging for scalable, integrated, high-dimensional phenotyping of both animal tissues and human clinical samples. This method, termed SWITCH, uniformly secures tissue architecture, native biomolecules, and antigenicity across an entire system by synchronizing the tissue preservation reaction. The heat- and chemical-resistant nature of the resulting framework permits multiple rounds (>20) of relabeling. We have performed 22 rounds of labeling of a single tissue with precise co-registration of multiple datasets. Furthermore, SWITCH synchronizes labeling reactions to improve probe penetration depth and uniformity of staining. With SWITCH, we performed combinatorial protein expression profiling of the human cortex and also interrogated the geometric structure of the fiber pathways in mouse brains. Such integrated high-dimensional information may accelerate our understanding of biological systems at multiple levels.

Indexed as

AlgorithmsAnimalsFemaleHumansMaleMiceMice, Inbred C57BLMolecular ImagingNerve Fibers, MyelinatedProteomicsReducing AgentsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTissue PreservationReducing Agents

Identifiers

PMID26638076
PMCPMC5275966

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.