Evidence map›Paper›PMID 31028635›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Seq-Well: A Sample-Efficient, Portable Picowell Platform for Massively Parallel Single-Cell RNA Sequencing.

Toby P Aicher, Shaina Carroll, Gianmarco Raddi, Todd Gierahn, Marc H Wadsworth, Travis K Hughes, Chris Love, Alex K Shalek

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Single-cell transcriptional changes of artemisinin-sensitive K13Frontiers in cellular and infection microbiology · 2026
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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

8 authors.

Toby P AicherRagon Institute of MGH, Harvard, and MIT, Cambridge, MA, USA. tpaicher@gmail.com.
Shaina CarrollRagon Institute of MGH, Harvard, and MIT, Cambridge, MA, USA.
Gianmarco RaddiWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Todd GierahnKoch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.
Marc H WadsworthRagon Institute of MGH, Harvard, and MIT, Cambridge, MA, USA.
Travis K HughesRagon Institute of MGH, Harvard, and MIT, Cambridge, MA, USA.
Chris LoveRagon Institute of MGH, Harvard, and MIT, Cambridge, MA, USA.
Alex K ShalekRagon Institute of MGH, Harvard, and MIT, Cambridge, MA, USA.

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Role of Negative Costimulation in Regulation of AutoimmunityP01AI039671 · NIAID · YALE UNIVERSITY · PI David A. Hafler · 1996 to 2026
$51.7M
Systems investigation of vaccine responses in B cell depleted autoimmune patientsU19AI089992 · NIAID · YALE UNIVERSITY · PI David A. Hafler, RUTH R MONTGOMERY · 2010 to 2026
$50.4M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
TCR recognition of MHC class II peptide compexes in multiple sclerosisP01AI045757 · NIAID · DANA-FARBER CANCER INSTITUTE · PI WUCHERPFENNIG, KAI W · 1999 to 2017
$22.8M
Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
Novel Biologic Therapies for GVHDR01HL095791 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI KEAN, LESLIE S · 2010 to 2025
$13.3M
Quantitative and functional characterization of therapeutic resistance in cancerU54CA217377 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2017 to 2021
$10.2M
Impact of MHC Genotype on Ex Vivo T cell Function in Type 1 DiabetesDP3DK097681 · NIDDK · DANA-FARBER CANCER INST · PI LOVE, JOHN CHRISTOPHER, WUCHERPFENNIG, KAI W · 2012 to 2012
$3.9M
T cells in HCV/HIV co-infectionR01DA046277 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI LAUER, GEORG MICHAEL · 2018 to 2022
$3.2M
"Bottom - Up" Profiling of Interacting Cellular SystemsDP2GM119419 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHALEK, ALEX K · 2015 to 2015
$2.3M
An integrated multiplexed genomic assay for low input clinical samples1U24AI118672 · NIAID · BROAD INSTITUTE, INC. · PI SHALEK, ALEX K · 2015 to 2019
$2.0M
Intramural NIH HHS Z01 AI000947NCI NIH HHS P30 CA014051NCI NIH HHS R33 CA202820NCI NIH HHS U54 CA217377NHGRI NIH HHS RM1 HG006193NHLBI NIH HHS R01 HL095791NHLBI NIH HHS R56 HL126554NIAID NIH HHS P01 AI039671NIAID NIH HHS P01 AI045757NIAID NIH HHS R01 AI138546NIAID NIH HHS R21 AI106025NIAID NIH HHS R56 AI104274NIAID NIH HHS U19 AI089992NIAID NIH HHS U24 AI118672NIAID NIH HHS Z01 AI000947NIDA NIH HHS R01 DA046277NIDDK NIH HHS DP3 DK097681NIGMS NIH HHS DP2 GM119419NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

Seq-Well is a low-cost picowell platform that can be used to simultaneously profile the transcriptomes of thousands of cells from diverse, low input clinical samples. In Seq-Well, uniquely barcoded mRNA capture beads and cells are co-confined in picowells that are sealed using a semipermeable membrane, enabling efficient cell lysis and mRNA capture. The beads are subsequently removed and processed in parallel for sequencing, with each transcript's cell of origin determined via the unique barcodes. Due to its simplicity and portability, Seq-Well can be performed almost anywhere.

Indexed as

AnimalsEquipment DesignGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansMembranes, ArtificialPolymerase Chain ReactionReverse TranscriptionRNA, MessengerSequence Analysis, RNASingle-Cell AnalysisMembranes, ArtificialRNA, MessengerPicowellsRNA-SeqSeq-WellSingle-cell genomicsSingle-cell RNA sequencingSystems biologyTranscriptomics

Identifiers

PMID31028635
PMCPMC7741456

What OpenQuestion holds

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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.