Paper · 10835600
Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays.
Brenner S and 23 others. Nat Biotechnol, 2000. Cited by 795 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays. Papers, record 10835600. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/10835600
On this page
Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays.
- PubMed
Topics13
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Nucleic Acid Hybridization | Major topic |
| Oligonucleotide Array Sequence Analysis | Major topic |
| Sequence Analysis, DNA | Major topic |
| Cell Line | |
| Cloning, Molecular | |
| DNA, Complementary | |
| Expressed Sequence Tags | |
| Gene Library | |
| Genetic Techniques | |
| Humans | |
| Microspheres | |
| Reproducibility of Results | |
| Saccharomyces cerevisiae |
Source PubMed
Grants0
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections1
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
| Kind | PMID | Title | In Papers |
|---|---|---|---|
| Comment in | 10,835,592 | Taking a census of mRNA populations with microbeads. | https://conductscience.org/library/papers/10835592 |
Source PubMed
References0
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
None in this release.
Cited by414
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 795 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 41,331,516 | A guide to transcriptomic deconvolution in cancer. | Nat Rev Cancer | 2026 | https://conductscience.org/library/papers/41331516 | PubMed |
| 40,792,502 | Direct comparison of clear DX Nanopore and Illumina sequencing of SARS-CoV-2. | Microbiol Spectr | 2025 | https://conductscience.org/library/papers/40792502 | PubMed |
| 40,151,342 | Conventional and cutting-edge advances in plant virus detection: emerging trends and techniques. | 3 Biotech | 2025 | https://conductscience.org/library/papers/40151342 | PubMed |
| 40,071,471 | Genomic and transcriptomic sequencing in prostate cancer. | Curr Opin Oncol | 2025 | https://conductscience.org/library/papers/40071471 | PubMed |
| 39,220,021 | Recent progress in DNA data storage based on high-throughput DNA synthesis. | Biomed Eng Lett | 2024 | https://conductscience.org/library/papers/39220021 | PubMed |
| 39,104,588 | Next generation plant biostimulants & genome sequencing strategies for sustainable agriculture development. | Front Microbiol | 2024 | https://conductscience.org/library/papers/39104588 | PubMed |
| 38,586,118 | Quantitative transcriptomic and epigenomic data analysis: a primer. | Bioinform Adv | 2024 | https://conductscience.org/library/papers/38586118 | PubMed |
| 37,997,999 | Genetic Databases and Gene Editing Tools for Enhancing Crop Resistance against Abiotic Stress. | Biology (Basel) | 2023 | https://conductscience.org/library/papers/37997999 | PubMed |
| 37,764,879 | More than Three Decades of Bm86: What We Know and Where to Go. | Pathogens | 2023 | https://conductscience.org/library/papers/37764879 | PubMed |
| 37,723,328 | Wastewater microbial diversity versus molecular analysis at a glance: a mini-review. | Braz J Microbiol | 2023 | https://conductscience.org/library/papers/37723328 | PubMed |
1 to 10 of 414
See all 414 cited byGenes0
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
None in this release.
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this paper from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/papers/v1/10835600
GET https://conductscience.org/api/papers/v1/10835600/authors?page=2