Evidence map›Paper›PMID 40060550›Full record

ArticlebioRxiv : the preprint server for biology2025

The graphene-based affinity cryo-EM grid for the endogenous protein structure determination.

Sojin An, Eungjin Ahn, Tyler Koo, Soyoung Park, Boeon Suh, Krishna P Rengasamy, Gaocong Lyu, Cheal Kim, Byungchul Kim, Hanseong Kim and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Sojin AnDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Eungjin AhnDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Tyler KooDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Soyoung ParkDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Boeon SuhDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Krishna P RengasamyDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Gaocong LyuDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Cheal KimDepartment of Fine Chemistry, Seoul National University of Science and Technology, Seoul, South Korea.
Byungchul KimDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Hanseong KimDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Sangho ParkDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Dongyan TanDepartment of Pharmacological Sciences, Stony Brook University, NY 11794, USA.ORCID 0000-0002-6796-6745
Uhn-Soo ChoDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0002-6992-2455

Funding

A Neuron-specific Methyl-histone Regulatory ComplexR01NS116008 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Shigeki Iwase · 2020 to 2026
$3.6M
Structural insights into the MLL core complexesR01CA250329 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHO, UHN-SOO, DOU, YALI · 2020 to 2024
$3.0M
Structure and Function of Legionella pneumophila Lysine MethyltransferasesR01AI160067 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAYMOND C TRIEVEL · 2022 to 2026
$2.6M
Neutralizing epigenomes in neurodevelopment disordersR01NS089896 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI IWASE, SHIGEKI · 2015 to 2019
$2.1M
Exploring Neuron - Specific Histone Methylation DynamicsR21NS104774 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI IWASE, SHIGEKI · 2018 to 2019
$429k
NCI NIH HHS R01 CA250329NIAID NIH HHS R01 AI160067NINDS NIH HHS R01 NS089896NINDS NIH HHS R01 NS116008NINDS NIH HHS R21 NS104774
6 · The paper itself

Abstract

Following recent advancements in cryo-electron microscopy (cryo-EM) instrumentation and software algorithms, the next bottleneck in achieving high-resolution cryo-EM structures arises from sample preparation. To overcome this, we developed a graphene-based affinity cryo-EM grid, the Graffendor (GFD) grid, to target low-abundance endogenous protein complexes. To maintain grid quality and consistency within a single batch of 36 grids, we established a one-step crosslinking batch-production method using genetically modified ALFA nanobody as affinity probe (GFD-A grid). Using low concentrations of β-galactosidase-2xALFA, we demonstrated the GFD-A grid's efficiency in capturing tagged proteins and resolving its cryo-EM structure at 2.71 Å. To test its application for endogenous proteins, we engineered yeast cells with a C-terminal tandem affinity tag (3xALFA-Tev-3xFlag: ATF) at Pop6, a shared component of RNase MRP and RNase P. Cryo-EM structures of RNase MRP and RNase P were resolved at 3.3 Å and 3.0 Å from cell lysates, and 3.6 Å and 3.9 Å from anti-flag elution, respectively. Notably, additional densities were observed in the structures obtained from cell lysates, which were absent in those from the anti-FLAG eluate. These findings establish the GFD-A grid as a robust platform for investigating endogenous proteins, capable of capturing transient interactions and enhancing the resolution of challenging cryo-EM structures with greater efficiency.

Indexed as

affinity gridALFA nanobodyALFA tagelectron cryo-microscopyelectron cryo-tomographyendogenous proteingraphene grid

Identifiers

PMID40060550
PMCPMC11888290

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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.