Evidence map›Paper›PMID 41444257›Full record

ArticleScientific data2025

Deep metatranscriptomic sequencing data of wastewater from Los Angeles, USA, 2023-2024.

Simon L Grimm, Jason A Rothman, William J Bradshaw, Kylie Langlois, Joshua A Steele, John F Griffith, Jeff T Kaufman, Katrine L Whiteson

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Simon L GrimmMedia Laboratory, Massachusetts Institute of Technology, Cambridge, USA.
Jason A RothmanDepartment of Microbiology and Plant Pathology, University of California, Riverside, Riverside, CA, USA. jason.rothman@ucr.edu.
William J BradshawMedia Laboratory, Massachusetts Institute of Technology, Cambridge, USA.
Kylie LangloisSouthern California Coastal Water Research Project, Costa Mesa, CA, USA.
Joshua A SteeleSouthern California Coastal Water Research Project, Costa Mesa, CA, USA.
John F GriffithSouthern California Coastal Water Research Project, Costa Mesa, CA, USA.
Jeff T KaufmanMedia Laboratory, Massachusetts Institute of Technology, Cambridge, USA. jeff@securebio.org.
Katrine L WhitesonDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-5423-6014

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
UCI P30 Skin Center Systems Biology CoreP30AR075047 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI ANDERSEN, BOGI, GANESAN, ANAND K · 2019 to 2025
$5.1M
PacBio RS Single Molecule, Real-Time (SMRT) DNA SequencerS10OD010794 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2012 to 2012
$600k
High-Throughput DNA SequencerS10OD021718 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2016 to 2016
$600k
NCI NIH HHS P30 CA062203NIAMS NIH HHS P30 AR075047NIH HHS S10 OD010794NIH HHS S10 OD021718
6 · The paper itself

Abstract

Wastewater monitoring for pathogen detection has greatly advanced over the course of the COVID-19 pandemic. While most wastewater surveillance programs only target specific pathogens using qPCR or amplicon sequencing, untargeted wastewater metatranscriptomic sequencing (W-MTS) offers broader detection capabilities. However, there is a lack of data allowing the comparison of W-MTS with more established detection methods. Here we present a dataset consisting of 13.1 terabases (43B read pairs) of untargeted Illumina W-MTS data, generated from 20 wastewater samples, with 1.4B to 2.8B 150 bp read pairs per sample. Wastewater samples were collected between December 2023 and April 2024 at the Hyperion Water Reclamation Plant (HWRP), Los Angeles, USA, serving a population of approximately 4 million residents. The resulting dataset, one of the largest W-MTS collections to date, contains bacterial, archaeal, eukaryotic, and viral taxa-including human-infecting viruses-and many sequences of unknown origin. Uploaded to the NCBI Sequence Read Archive, we expect this data to spur additional research into the viability of pathogen-agnostic wastewater epidemiology and pathogen early detection.

Indexed as

TranscriptomeWastewaterCOVID-19High-Throughput Nucleotide SequencingHumansLos AngelesWastewater

Identifiers

PMID41444257
PMCPMC12873240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.