Evidence map›Paper›PMID 32735851›Full record

ArticleCell2020

Memory Sequencing Reveals Heritable Single-Cell Gene Expression Programs Associated with Distinct Cellular Behaviors.

Sydney M Shaffer, Benjamin L Emert, Raúl A Reyes Hueros, Christopher Cote, Guillaume Harmange, Dylan L Schaff, Ann E Sizemore, Rohit Gupte, Eduardo Torre, Abhyudai Singh and 2 more

Abstract read
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing 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

128 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Multiplexed enrichment and tracking of lineages with CloneSweeper.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Sydney M ShafferDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Benjamin L EmertPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Raúl A Reyes HuerosPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Christopher CoteDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Guillaume HarmangePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Cell and Molecular Biology Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dylan L SchaffDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Ann E SizemoreDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Rohit GupteDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Eduardo TorrePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.
Danielle S BassettDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Physics and Astronomy, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Electrical and Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Santa Fe Institute, Santa Fe, NM, USA.
Arjun RajDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: arjunrajlab@gmail.com.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Susan M Domchek · 1985 to 2026
$222.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007170 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BRASS, LAWRENCE F · 1985 to 2022
$54.0M
Targeted Combination Therapy for MelanomaP50CA174523 · NCI · WISTAR INSTITUTE · PI SCHUCHTER, LYNN M. · 2014 to 2018
$11.1M
PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
Project-002RM1HG007743 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2015 to 2019
$10.1M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Decoding the bridges and barriers to cellular reprogramming and lineage identityR01GM137425 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI JAIN, RAJAN, RAJ, ARJUN · 2019 to 2023
$5.6M
Engineering and visualizing genome folding at high spatiotemporal resolutionU01HL129998 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BLOBEL, GERD A, PHILLIPS-CREMINS, JENNIFER ELIZABETH · 2015 to 2019
$4.2M
A plasticity and reprogramming paradigm for therapy resistance at the single cell levelU01CA227550 · NCI · UNIVERSITY OF PENNSYLVANIA · PI RADHAKRISHNAN, RAVI, RAJ, ARJUN · 2018 to 2022
$3.3M
An integrated approach to melanoma metastasis and therapy resistance: effects of age-related changes in the ECM and the biomechanics of the skinR01CA232256 · NCI · WISTAR INSTITUTE · PI CUKIERMAN, EDNA, RAJ, ARJUN · 2019 to 2023
$3.0M
Understanding and Overcoming Resistance to BRAF/MEK Kinase Inhibitors in MelanomaR01CA238237 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HERLYN, MEENHARD F, RAJ, ARJUN · 2020 to 2024
$2.9M
Decoding mechanisms of phenotypic memory in single cellsDP5OD028144 · OD · UNIVERSITY OF PENNSYLVANIA · PI SHAFFER, SYDNEY · 2019 to 2023
$2.0M
NCI NIH HHS F30 CA236129NCI NIH HHS P30 CA016520NCI NIH HHS P50 CA174523NCI NIH HHS R01 CA232256NCI NIH HHS R01 CA238237NCI NIH HHS U01 CA227550NCI NIH HHS U54 CA193417NHGRI NIH HHS RM1 HG007743NHGRI NIH HHS T32 HG000046NHLBI NIH HHS U01 HL129998NIAID NIH HHS F30 AI114475NIGMS NIH HHS R01 GM124446NIGMS NIH HHS R01 GM126557NIGMS NIH HHS R01 GM137425NIGMS NIH HHS T32 GM007170NIH HHS DP5 OD028144
6 · The paper itself

Abstract

Non-genetic factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring gene expression in single cells mostly rely on single time point measurements, making the duration of gene expression fluctuations or cellular memory difficult to measure. Here, we combined Luria and Delbrück's fluctuation analysis with population-based RNA sequencing (MemorySeq) for identifying genes transcriptome-wide whose fluctuations persist for several divisions. MemorySeq revealed multiple gene modules that expressed together in rare cells within otherwise homogeneous clonal populations. These rare cell subpopulations were associated with biologically distinct behaviors like proliferation in the face of anti-cancer therapeutics. The identification of non-genetic, multigenerational fluctuations can reveal new forms of biological memory in single cells and suggests that non-genetic heritability of cellular state may be a quantitative property.

Indexed as

TranscriptomeCell DivisionCell Line, TumorDrug Resistance, NeoplasmGenes, ReporterHumansIn Situ Hybridization, FluorescenceMicroscopy, FluorescenceSequence Analysis, RNASingle-Cell AnalysisTime-Lapse Imagingcancer drug resistancegene expression memorysingle-cell

Identifiers

PMID32735851
PMCPMC7496637

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.