Evidence map›Paper›PMID 27205882›Full record

ArticleeLife2016

Detection and manipulation of live antigen-expressing cells using conditionally stable nanobodies.

Jonathan Cy Tang, Eugene Drokhlyansky, Behzad Etemad, Stephanie Rudolph, Binggege Guo, Sui Wang, Emily G Ellis, Jonathan Z Li, Constance L Cepko

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
  2. Article
  3. Inhibitory Circuits Can Restore OFF Pathway Responses in Retinal Prostheses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Programmable nanobody circuits for cell selection.bioRxiv : the preprint server for biology · 2026
    Article
  10. ALFA nanobody-guided endogenous labeling.Nature chemical biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jonathan Cy TangDepartment of Genetics, Howard Hughes Medical Institute, Harvard Medical School, Boston, United States.ORCID 0000-0002-2376-6901
Eugene DrokhlyanskyDepartment of Genetics, Howard Hughes Medical Institute, Harvard Medical School, Boston, United States.
Behzad EtemadBrigham and Women's Hospital, Harvard Medical School, Boston, United States.
Stephanie RudolphDepartment of Neurobiology, Harvard Medical School, Boston, United States.
Binggege GuoDepartment of Genetics, Howard Hughes Medical Institute, Harvard Medical School, Boston, United States.
Sui WangDepartment of Genetics, Howard Hughes Medical Institute, Harvard Medical School, Boston, United States.
Emily G EllisDepartment of Neurobiology, Harvard Medical School, Boston, United States.
Jonathan Z LiBrigham and Women's Hospital, Harvard Medical School, Boston, United States.
Constance L CepkoDepartment of Genetics, Howard Hughes Medical Institute, Harvard Medical School, Boston, United States.ORCID 0000-0002-9945-6387

Funding

Viral ModuleP30EY012196 · NEI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ZHIGANG HE · 1998 to 2026
$21.3M
Super-Resolution ImagingP30NS072030 · NINDS · HARVARD MEDICAL SCHOOL · PI REGEHR, WADE G · 2011 to 2020
$5.8M
Short-Term Synaptic Plasticity in the CNSR01NS032405 · NINDS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI REGEHR, WADE G · 1995 to 2016
$4.8M
Implications of HIV-1 Minority Variants for Virologic Failure and HIV ReservoirsK08AI100699 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LI, JONATHAN · 2012 to 2016
$682k
Regulation of Synchrony and Input Layer Excitability by Purkinje Cell CollateralsR01NS092707 · NINDS · HARVARD MEDICAL SCHOOL · PI REGEHR, WADE G · 2015 to 2016
$647k
Predictors of HIV Control after Antiretroviral Treatment InterruptionR21AI114448 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LI, JONATHAN · 2014 to 2015
$503k
Dynamic control of sensory processing by an active network of interneuronsF32NS087708 · NINDS · HARVARD MEDICAL SCHOOL · PI RUDOLPH, STEPHANIE · 2014 to 2017
$175k
NEI NIH HHS P30 EY012196NIAID NIH HHS K08 AI100699NIAID NIH HHS R21 AI114448NINDS NIH HHS F32 NS087708NINDS NIH HHS P30 NS072030NINDS NIH HHS R01 NS032405NINDS NIH HHS R01 NS092707
6 · The paper itself

Abstract

The ability to detect and/or manipulate specific cell populations based upon the presence of intracellular protein epitopes would enable many types of studies and applications. Protein binders such as nanobodies (Nbs) can target untagged proteins (antigens) in the intracellular environment. However, genetically expressed protein binders are stable regardless of antigen expression, complicating their use for applications that require cell-specificity. Here, we created a conditional system in which the stability of an Nb depends upon an antigen of interest. We identified Nb framework mutations that can be used to rapidly create destabilized Nbs. Fusion of destabilized Nbs to various proteins enabled applications in living cells, such as optogenetic control of neural activity in specific cell types in the mouse brain, and detection of HIV-infected human cells by flow cytometry. These approaches are generalizable to other protein binders, and enable the rapid generation of single-polypeptide sensors and effectors active in cells expressing specific intracellular epitopes.

Indexed as

AnimalsAntigensCytological TechniquesHumansMiceProtein BindingSingle-Domain AntibodiesAntigensSingle-Domain Antibodiesantibody engineeringdevelopmental biologyGFPHIV-1humanmousenanobodiesneurosciencestem cells

Identifiers

PMID27205882
PMCPMC4922844

What OpenQuestion holds

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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 OpenQuestion graph.